NIRCam Claw Detection#
Author: Mees Fix (mfix@stsci.edu)
Latest Update: 05 March 2025
Use case: NIRCam Imaging detectors A1, A3, B1, B2 or B4.
Data: None
Test Pipeline Version: None
Introduction#
This notebook demonstrates how to use JWST pointing information provided in a user’s APT program to detect the potential of claws in NIRCam observations. Claws are a scattered light phenomenon that occur when a bright star falls in the susceptibility region. When present, claws occur primarily in the A1, A3, B1, B2 or B4 detectors, affecting roughly 5% of the pixels on those detectors.
All datasets necessary for this notebook to run are included in the jwst_rogue_path_tool python package. This includes the following:
APT_test_4RPtool.records.json: A mock program that contains NIRCam instrument configurations that could contain contain claws we want to detect.rogue_path_nrca.fits: fits file that contains the susceptibility region intensity contours for NIRCam module A.rogue_path_nrcb.fits: fits file that contains the susceptibility region intensity contours for NIRCam module B.two_mass_kmag_lt_5.csv: 2MASS stellar sources that have magnitudes less than 5.
To generate your own records.json file for a specific program via APT, see the JDox page for APT Export files.
Table of Contents#
Imports
Run the JWST Rogue Path Tool
Handling records.json Files
Selecting and Displaying APT Data
Generating APT Program Object
Plotting Rogue Path Tool Results
Exposure Level Valid Angle Plots
Observation Level Valid Angle Plots
Single Angle of Attitude in V2 & V3 Space Plots
Flux as a Function of Attitude Plots
Reporting & Applying PA Constraints in APT
Imports#
import numpy as np
import pathlib
from jwst_rogue_path_tool.program_data_parser import aptJsonFile
from jwst_rogue_path_tool.detect_claws import aptProgram
from jwst_rogue_path_tool.constants import PROJECT_DIRNAME
Run the JWST Rogue Path Tool#
Handling records.json Files#
Here we will look at the tools in the JWST Rogue Path Tool to parse and analyze the input data for the tool. The list of tables available are printed in a list below.
apt_json_filename = pathlib.Path(PROJECT_DIRNAME) / "data" / "APT_test_4RPtool.records.json"
# Parse the APT JSON file to obtain useful information for Claw Tool
parsed_json = aptJsonFile(apt_json_filename)
parsed_json.tablenames
['program',
'observation',
'mosaic',
'target',
'target_description',
'fixed_target',
'instruments',
'visit',
'visit_overheads',
'visit_track',
'visit_targets',
'miri_templates',
'miri_exposure_specification',
'nircam_templates',
'nircam_exposure_specification',
'nircam_imaging_dither',
'niriss_templates',
'niriss_exposure_specification',
'niriss_target_acq',
'niriss_dither',
'apt_diagnostics',
'special_requirements',
'link',
'visit_linkspec',
'exposures',
'observation_association_candidates',
'association_candidates']
Selecting and Displaying APT Data#
Below we print the exposure level data from our program. This is a list of dictionaries, each dictionary in the list represents an observation.
tablename = "exposures"
parsed_json.data[tablename] # This is a list of dictionaries
[{'program': 0,
'observation': 1,
'visit': 1,
'exposure': 0,
'pointing_sequence_number': 0,
'exposure_spec_order_number': 0,
'target_id': 1,
'target_order_number': 0,
'AperName': 'NRCALL_FULL',
'apt_label': 'BASE',
'dither_point_index': 0,
'ideal_x_position': -58.0001799,
'ideal_y_position': -23.4999796,
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 0,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -29.8773783,
'oss_ideal_y_position': -22.7853593,
'pointing_type': 'BASE',
'v2': 56.0734166,
'v3': -516.319756,
'dark_parallel_slot_duration': 0,
'external_parallel_slot_duration': 0},
{'program': 0,
'observation': 1,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 1,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': -58.0001799,
'ideal_y_position': -23.4999796,
'implicit_exposure': 'N',
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -29.8773783,
'oss_ideal_y_position': -22.7853593,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.08381870392,
'dec_center_rotation': 19.23776711048,
'readout_pattern': 'SHALLOW4',
'region_shape': 'POLYGON ICRS 124.12942092617 19.21930240069 124.0387127081 19.21992474154 124.03920709787 19.25635328757 124.1288185723 19.25577263751 ',
'v2': 56.0734166,
'v3': -516.319756,
'dark_parallel_slot_duration': 746,
'exposure_duration': 381,
'external_parallel_slot_duration': 340,
'photon_collecting_duration': 311.366},
{'program': 0,
'observation': 1,
'visit': 1,
'exposure': 2,
'pointing_sequence_number': 2,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 2,
'fixed_orient_used': 0.0,
'ideal_x_position': -57.7739791,
'ideal_y_position': -23.3340798,
'implicit_exposure': 'N',
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -30.1036174,
'oss_ideal_y_position': -22.6195127,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.0838853217,
'dec_center_rotation': 19.23772111523,
'readout_pattern': 'SHALLOW4',
'region_shape': 'POLYGON ICRS 124.12948752365 19.21925638885 124.03877933122 19.2198787625 124.03927373564 19.25630730835 124.12888518473 19.25572662589 ',
'v2': 55.8470001,
'v3': -516.1541507,
'dark_parallel_slot_duration': 0,
'exposure_duration': 350,
'external_parallel_slot_duration': 340,
'photon_collecting_duration': 311.366},
{'program': 0,
'observation': 1,
'visit': 2,
'exposure': 0,
'pointing_sequence_number': 0,
'exposure_spec_order_number': 0,
'target_id': 1,
'target_order_number': 0,
'AperName': 'NRCALL_FULL',
'apt_label': 'BASE',
'dither_point_index': 0,
'ideal_x_position': 0,
'ideal_y_position': 0,
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 0,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -87.8829185,
'oss_ideal_y_position': 0.7009706,
'pointing_type': 'BASE',
'v2': -1.957302,
'v3': -492.89529,
'dark_parallel_slot_duration': 0,
'external_parallel_slot_duration': 0},
{'program': 0,
'observation': 1,
'visit': 2,
'exposure': 1,
'pointing_sequence_number': 1,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 3,
'fixed_orient_used': 0.0,
'ideal_x_position': 0,
'ideal_y_position': 0,
'implicit_exposure': 'N',
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -87.8829185,
'oss_ideal_y_position': 0.7009706,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.10089166666,
'dec_center_rotation': 19.23126111111,
'readout_pattern': 'SHALLOW4',
'region_shape': 'POLYGON ICRS 124.14649015843 19.21279216436 124.05578559824 19.21342291098 124.05628375559 19.24985141101 124.1458916191 19.24926245682 ',
'v2': -1.957302,
'v3': -492.89529,
'dark_parallel_slot_duration': 746,
'exposure_duration': 381,
'external_parallel_slot_duration': 340,
'photon_collecting_duration': 311.366},
{'program': 0,
'observation': 1,
'visit': 2,
'exposure': 2,
'pointing_sequence_number': 2,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 4,
'fixed_orient_used': 0.0,
'ideal_x_position': 0.2262006,
'ideal_y_position': 0.1659,
'implicit_exposure': 'N',
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -88.1091576,
'oss_ideal_y_position': 0.8668173,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.10095827698,
'dec_center_rotation': 19.23121510958,
'readout_pattern': 'SHALLOW4',
'region_shape': 'POLYGON ICRS 124.14655674848 19.21274614636 124.05585221395 19.21337692577 124.05635038593 19.24980542562 124.1459582241 19.24921643903 ',
'v2': -2.1837183,
'v3': -492.7296845,
'dark_parallel_slot_duration': 0,
'exposure_duration': 350,
'external_parallel_slot_duration': 340,
'photon_collecting_duration': 311.366},
{'program': 0,
'observation': 1,
'visit': 3,
'exposure': 0,
'pointing_sequence_number': 0,
'exposure_spec_order_number': 0,
'target_id': 1,
'target_order_number': 0,
'AperName': 'NRCALL_FULL',
'apt_label': 'BASE',
'dither_point_index': 0,
'ideal_x_position': 58.0001483,
'ideal_y_position': 23.5000186,
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 0,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -145.8884725,
'oss_ideal_y_position': 24.1873062,
'pointing_type': 'BASE',
'v2': -59.9879891,
'v3': -469.4707849,
'dark_parallel_slot_duration': 0,
'external_parallel_slot_duration': 0},
{'program': 0,
'observation': 1,
'visit': 3,
'exposure': 1,
'pointing_sequence_number': 1,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 5,
'fixed_orient_used': 0.0,
'ideal_x_position': 58.0001483,
'ideal_y_position': 23.5000186,
'implicit_exposure': 'N',
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -145.8884725,
'oss_ideal_y_position': 24.1873062,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.11796326743,
'dec_center_rotation': 19.22475350799,
'readout_pattern': 'SHALLOW4',
'region_shape': 'POLYGON ICRS 124.16355803755 19.20628034649 124.0728571367 19.2069194982 124.07335906101 19.2433479519 124.16296331217 19.24275069423 ',
'v2': -59.9879891,
'v3': -469.4707849,
'dark_parallel_slot_duration': 746,
'exposure_duration': 381,
'external_parallel_slot_duration': 340,
'photon_collecting_duration': 311.366},
{'program': 0,
'observation': 1,
'visit': 3,
'exposure': 2,
'pointing_sequence_number': 2,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 6,
'fixed_orient_used': 0.0,
'ideal_x_position': 58.2263488,
'ideal_y_position': 23.6659188,
'implicit_exposure': 'N',
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -146.1147117,
'oss_ideal_y_position': 24.353153,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.11802987027,
'dec_center_rotation': 19.22470750022,
'readout_pattern': 'SHALLOW4',
'region_shape': 'POLYGON ICRS 124.16362462018 19.20623432232 124.07292374499 19.20687350682 124.07342568394 19.24330196033 124.16302990975 19.24270467027 ',
'v2': -60.2144053,
'v3': -469.3051793,
'dark_parallel_slot_duration': 0,
'exposure_duration': 350,
'external_parallel_slot_duration': 340,
'photon_collecting_duration': 311.366},
{'program': 0,
'observation': 2,
'visit': 1,
'exposure': 0,
'pointing_sequence_number': 0,
'exposure_spec_order_number': 0,
'target_id': 1,
'target_order_number': 0,
'AperName': 'NRCALL_FULL',
'apt_label': 'BASE',
'dither_point_index': 0,
'ideal_x_position': 200.0002771,
'ideal_y_position': 100.0001776,
'max_data_rate': 1.1786179401585328,
'mosaic_tile_order_number': 0,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -287.906599,
'oss_ideal_y_position': 100.6538851,
'pointing_type': 'BASE',
'v2': -202.0875712,
'v3': -393.1555199,
'dark_parallel_slot_duration': 0,
'external_parallel_slot_duration': 0},
{'program': 0,
'observation': 2,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 1,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': 200.0002771,
'ideal_y_position': 100.0001776,
'implicit_exposure': 'N',
'max_data_rate': 1.1786179401585328,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -287.906599,
'oss_ideal_y_position': 100.6538851,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.15975885546,
'dec_center_rotation': 19.2035461615,
'readout_pattern': 'MEDIUM8',
'region_shape': 'POLYGON ICRS 124.20534311225 19.18506274725 124.1146540848 19.18572247675 124.11516521424 19.2221508155 124.20475774161 19.22153322885 ',
'v2': -202.0875712,
'v3': -393.1555199,
'dark_parallel_slot_duration': 2801,
'exposure_duration': 692,
'external_parallel_slot_duration': 651,
'photon_collecting_duration': 622.733},
{'program': 0,
'observation': 2,
'visit': 1,
'exposure': 2,
'pointing_sequence_number': 2,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 2,
'fixed_orient_used': 0.0,
'ideal_x_position': 200.1511769,
'ideal_y_position': 100.1358778,
'implicit_exposure': 'N',
'max_data_rate': 1.1786179401585328,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -288.0575311,
'oss_ideal_y_position': 100.7895496,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.15980328022,
'dec_center_rotation': 19.20350850733,
'readout_pattern': 'MEDIUM8',
'region_shape': 'POLYGON ICRS 124.20538752173 19.1850250822 124.11469851524 19.18568483357 124.11520965441 19.2221131722 124.20480216107 19.22149556394 ',
'v2': -202.2386475,
'v3': -393.0200163,
'dark_parallel_slot_duration': 0,
'exposure_duration': 661,
'external_parallel_slot_duration': 651,
'photon_collecting_duration': 622.733},
{'program': 0,
'observation': 2,
'visit': 1,
'exposure': 3,
'pointing_sequence_number': 3,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 3,
'fixed_orient_used': 0.0,
'ideal_x_position': 200.0756766,
'ideal_y_position': 100.2113776,
'implicit_exposure': 'N',
'max_data_rate': 1.1786179401585328,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -287.9820488,
'oss_ideal_y_position': 100.8650674,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.15978109367,
'dec_center_rotation': 19.20348751502,
'readout_pattern': 'MEDIUM8',
'region_shape': 'POLYGON ICRS 124.20536533184 19.18500409528 124.11467633685 19.18566383573 124.11518747104 19.22209217442 124.20477996634 19.22147457695 ',
'v2': -202.1632456,
'v3': -392.9444183,
'dark_parallel_slot_duration': 0,
'exposure_duration': 661,
'external_parallel_slot_duration': 651,
'photon_collecting_duration': 622.733},
{'program': 0,
'observation': 2,
'visit': 1,
'exposure': 4,
'pointing_sequence_number': 4,
'exposure_spec_order_number': 1,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 4,
'fixed_orient_used': 0.0,
'ideal_x_position': 200.2264771,
'ideal_y_position': 100.045378,
'implicit_exposure': 'N',
'max_data_rate': 1.1786179401585328,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -288.1328098,
'oss_ideal_y_position': 100.6990319,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.15982540371,
'dec_center_rotation': 19.20353366624,
'readout_pattern': 'MEDIUM8',
'region_shape': 'POLYGON ICRS 124.2054096497 19.18505023574 124.11472062941 19.18570999801 124.11523177357 19.22213833658 124.20482429387 19.22152071755 ',
'v2': -202.3138299,
'v3': -393.110614,
'dark_parallel_slot_duration': 0,
'exposure_duration': 661,
'external_parallel_slot_duration': 651,
'photon_collecting_duration': 622.733},
{'program': 0,
'observation': 2,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 5,
'exposure_spec_order_number': 2,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': 200.0002771,
'ideal_y_position': 100.0001776,
'implicit_exposure': 'N',
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -287.906599,
'oss_ideal_y_position': 100.6538851,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.15975885546,
'dec_center_rotation': 19.2035461615,
'readout_pattern': 'SHALLOW4',
'region_shape': 'POLYGON ICRS 124.20534311225 19.18506274725 124.1146540848 19.18572247675 124.11516521424 19.2221508155 124.20475774161 19.22153322885 ',
'v2': -202.0875712,
'v3': -393.1555199,
'dark_parallel_slot_duration': 1557,
'exposure_duration': 381,
'external_parallel_slot_duration': 340,
'photon_collecting_duration': 311.366},
{'program': 0,
'observation': 2,
'visit': 1,
'exposure': 2,
'pointing_sequence_number': 6,
'exposure_spec_order_number': 2,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NRCALL_FULL',
'apt_label': 'SCIENCE',
'data_volume_mib': 560.0,
'dither_point_index': 2,
'fixed_orient_used': 0.0,
'ideal_x_position': 200.1511769,
'ideal_y_position': 100.1358778,
'implicit_exposure': 'N',
'max_data_rate': 2.3005486156451145,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 6,
'number_of_integrations': 1,
'number_of_scas': 10,
'oss_AperName': 'NRCA5_FULL_OSS',
'oss_ideal_x_position': -288.0575311,
'oss_ideal_y_position': 100.7895496,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.15980328022,
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'max_data_rate': 0.8528303066931338,
'mosaic_tile_order_number': 1,
'number_of_groups': 5,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'MIRIM_FULL_OSS',
'oss_ideal_x_position': 188.0573521,
'oss_ideal_y_position': -300.1468791,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.05318082466,
'dec_center_rotation': 19.31873552793,
'readout_pattern': 'FASTR1',
'region_shape': 'POLYGON ICRS 124.06261795902 19.30228354874 124.04090441195 19.30397876499 124.04387791587 19.33518755683 124.06536285246 19.33359370447 ',
'v2': -291.2904606,
'v3': -688.7408909,
'dark_parallel_slot_duration': 0,
'exposure_duration': 43,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 13.875},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 3,
'pointing_sequence_number': 4,
'visit_file_sequence': 1,
'exposure_spec_order_number': 2,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NIS_CEN',
'apt_label': 'SCIENCE',
'data_volume_mib': 80.0,
'dither_point_index': 3,
'fixed_orient_used': 0.0,
'ideal_x_position': -0.2401019,
'ideal_y_position': 10.6258,
'implicit_exposure': 'N',
'max_data_rate': 0.2509131240454199,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 10,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'NIS_CEN_OSS',
'oss_ideal_x_position': 0.2401,
'oss_ideal_y_position': 10.6257999,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.1007904135,
'dec_center_rotation': 19.22831029491,
'readout_pattern': 'NIS',
'region_shape': 'POLYGON ICRS 124.12027297042 19.20952490291 124.08093445381 19.20972958097 124.08132268162 19.24711175623 124.1206605423 19.2469333355 ',
'v2': -290.7968213,
'v3': -687.3920618,
'dark_parallel_slot_duration': 0,
'exposure_duration': 465,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 429.471},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 3,
'pointing_sequence_number': 4,
'visit_file_sequence': 2,
'exposure_spec_order_number': 2,
'target_id': 1,
'target_order_number': 1,
'AperName': 'MIRIM_ILLUM',
'apt_label': 'SCIENCE',
'data_volume_mib': 12.59765625,
'dither_point_index': 3,
'fixed_orient_used': 0.0,
'ideal_x_position': -188.4361762,
'ideal_y_position': -298.7607264,
'implicit_exposure': 'N',
'max_data_rate': 0.8528303066931338,
'mosaic_tile_order_number': 1,
'number_of_groups': 5,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'MIRIM_FULL_OSS',
'oss_ideal_x_position': 188.4355357,
'oss_ideal_y_position': -298.7612373,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.05303563094,
'dec_center_rotation': 19.31836081527,
'readout_pattern': 'FASTR1',
'region_shape': 'POLYGON ICRS 124.06247275775 19.30190884313 124.04075925874 19.30360404228 124.04373272827 19.33481283646 124.06521761723 19.33321900102 ',
'v2': -290.7968213,
'v3': -687.3920618,
'dark_parallel_slot_duration': 0,
'exposure_duration': 43,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 13.875},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 5,
'visit_file_sequence': 1,
'exposure_spec_order_number': 3,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NIS_CEN',
'apt_label': 'DIRECT_IMAGE',
'data_volume_mib': 32.0,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': -0.2401019,
'ideal_y_position': 10.6258,
'implicit_exposure': 'N',
'max_data_rate': 0.23538558244239186,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 4,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'NIS_CEN_OSS',
'oss_ideal_x_position': 0.2401,
'oss_ideal_y_position': 10.6257999,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.1007904135,
'dec_center_rotation': 19.22831029491,
'readout_pattern': 'NIS',
'region_shape': 'POLYGON ICRS 124.12027297042 19.20952490291 124.08093445381 19.20972958097 124.08132268162 19.24711175623 124.1206605423 19.2469333355 ',
'v2': -290.7968213,
'v3': -687.3920618,
'dark_parallel_slot_duration': 0,
'exposure_duration': 207,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 171.788},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 5,
'visit_file_sequence': 2,
'exposure_spec_order_number': 3,
'target_id': 1,
'target_order_number': 1,
'AperName': 'MIRIM_ILLUM',
'apt_label': 'SCIENCE',
'data_volume_mib': 12.59765625,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': -188.4361762,
'ideal_y_position': -298.7607264,
'implicit_exposure': 'N',
'max_data_rate': 0.8528303066931338,
'mosaic_tile_order_number': 1,
'number_of_groups': 5,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'MIRIM_FULL_OSS',
'oss_ideal_x_position': 188.4355357,
'oss_ideal_y_position': -298.7612373,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.05303563094,
'dec_center_rotation': 19.31836081527,
'readout_pattern': 'FASTR1',
'region_shape': 'POLYGON ICRS 124.06247275775 19.30190884313 124.04075925874 19.30360404228 124.04373272827 19.33481283646 124.06521761723 19.33321900102 ',
'v2': -290.7968213,
'v3': -687.3920618,
'dark_parallel_slot_duration': 0,
'exposure_duration': 58,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 13.875},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 2,
'pointing_sequence_number': 6,
'visit_file_sequence': 1,
'exposure_spec_order_number': 3,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NIS_CEN',
'apt_label': 'DIRECT_IMAGE',
'data_volume_mib': 32.0,
'dither_point_index': 2,
'fixed_orient_used': 0.0,
'ideal_x_position': 9.9075567,
'ideal_y_position': -0.0463997,
'implicit_exposure': 'N',
'max_data_rate': 0.23538558244239186,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 4,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'NIS_CEN_OSS',
'oss_ideal_x_position': -9.9075,
'oss_ideal_y_position': -0.0463999,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.10380639515,
'dec_center_rotation': 19.231247017,
'readout_pattern': 'NIS',
'region_shape': 'POLYGON ICRS 124.12328895548 19.21246130648 124.08394973932 19.21266662856 124.08433866044 19.25004879746 124.1236772213 19.24986973273 ',
'v2': -301.0485358,
'v3': -697.964345,
'dark_parallel_slot_duration': 0,
'exposure_duration': 207,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 171.788},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 2,
'pointing_sequence_number': 6,
'visit_file_sequence': 2,
'exposure_spec_order_number': 3,
'target_id': 1,
'target_order_number': 1,
'AperName': 'MIRIM_ILLUM',
'apt_label': 'SCIENCE',
'data_volume_mib': 12.59765625,
'dither_point_index': 2,
'fixed_orient_used': 0.0,
'ideal_x_position': -179.1121324,
'ideal_y_position': -310.1595434,
'implicit_exposure': 'N',
'max_data_rate': 0.8528303066931338,
'mosaic_tile_order_number': 1,
'number_of_groups': 5,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'MIRIM_FULL_OSS',
'oss_ideal_x_position': 179.111517,
'oss_ideal_y_position': -310.1600543,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.05605242491,
'dec_center_rotation': 19.3212983257,
'readout_pattern': 'FASTR1',
'region_shape': 'POLYGON ICRS 124.06548941592 19.30484619324 124.04377555954 19.30654174776 124.0467496558 19.33775049327 124.06823489996 19.3361563062 ',
'v2': -301.0485358,
'v3': -697.964345,
'dark_parallel_slot_duration': 0,
'exposure_duration': 43,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 13.875},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 7,
'visit_file_sequence': 1,
'exposure_spec_order_number': 4,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NIS_CEN',
'apt_label': 'SCIENCE',
'data_volume_mib': 80.0,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': 9.9075567,
'ideal_y_position': -0.0463997,
'implicit_exposure': 'N',
'max_data_rate': 0.2509131240454199,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 10,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'NIS_CEN_OSS',
'oss_ideal_x_position': -9.9075,
'oss_ideal_y_position': -0.0463999,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.10380639515,
'dec_center_rotation': 19.231247017,
'readout_pattern': 'NIS',
'region_shape': 'POLYGON ICRS 124.12328895548 19.21246130648 124.08394973932 19.21266662856 124.08433866044 19.25004879746 124.1236772213 19.24986973273 ',
'v2': -301.0485358,
'v3': -697.964345,
'dark_parallel_slot_duration': 0,
'exposure_duration': 465,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 429.471},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 7,
'visit_file_sequence': 2,
'exposure_spec_order_number': 4,
'target_id': 1,
'target_order_number': 1,
'AperName': 'MIRIM_ILLUM',
'apt_label': 'SCIENCE',
'data_volume_mib': 12.59765625,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': -179.1121324,
'ideal_y_position': -310.1595434,
'implicit_exposure': 'N',
'max_data_rate': 0.8528303066931338,
'mosaic_tile_order_number': 1,
'number_of_groups': 5,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'MIRIM_FULL_OSS',
'oss_ideal_x_position': 179.111517,
'oss_ideal_y_position': -310.1600543,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.05605242491,
'dec_center_rotation': 19.3212983257,
'readout_pattern': 'FASTR1',
'region_shape': 'POLYGON ICRS 124.06548941592 19.30484619324 124.04377555954 19.30654174776 124.0467496558 19.33775049327 124.06823489996 19.3361563062 ',
'v2': -301.0485358,
'v3': -697.964345,
'dark_parallel_slot_duration': 0,
'exposure_duration': 58,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 13.875},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 2,
'pointing_sequence_number': 8,
'visit_file_sequence': 1,
'exposure_spec_order_number': 4,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NIS_CEN',
'apt_label': 'SCIENCE',
'data_volume_mib': 80.0,
'dither_point_index': 2,
'fixed_orient_used': 0.0,
'ideal_x_position': 10.1477582,
'ideal_y_position': -0.7231997,
'implicit_exposure': 'N',
'max_data_rate': 0.2509131240454199,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 10,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'NIS_CEN_OSS',
'oss_ideal_x_position': -10.1476999,
'oss_ideal_y_position': -0.7232,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.10387901124,
'dec_center_rotation': 19.2314343532,
'readout_pattern': 'NIS',
'region_shape': 'POLYGON ICRS 124.12336158544 19.21264863502 124.08402232451 19.2128539726 124.0844112626 19.25023614135 124.12374986825 19.25005706111 ',
'v2': -301.2953556,
'v3': -698.6387595,
'dark_parallel_slot_duration': 0,
'exposure_duration': 465,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 429.471},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 2,
'pointing_sequence_number': 8,
'visit_file_sequence': 2,
'exposure_spec_order_number': 4,
'target_id': 1,
'target_order_number': 1,
'AperName': 'MIRIM_ILLUM',
'apt_label': 'SCIENCE',
'data_volume_mib': 12.59765625,
'dither_point_index': 2,
'fixed_orient_used': 0.0,
'ideal_x_position': -178.9230404,
'ideal_y_position': -310.8523632,
'implicit_exposure': 'N',
'max_data_rate': 0.8528303066931338,
'mosaic_tile_order_number': 1,
'number_of_groups': 5,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'MIRIM_FULL_OSS',
'oss_ideal_x_position': 178.9224251,
'oss_ideal_y_position': -310.8528753,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.05612502648,
'dec_center_rotation': 19.32148568084,
'readout_pattern': 'FASTR1',
'region_shape': 'POLYGON ICRS 124.06556202123 19.30503354489 124.04384814081 19.30672910796 124.04682225427 19.3379378523 124.06830752225 19.33634365677 ',
'v2': -301.2953556,
'v3': -698.6387595,
'dark_parallel_slot_duration': 0,
'exposure_duration': 43,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 13.875},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 3,
'pointing_sequence_number': 9,
'visit_file_sequence': 1,
'exposure_spec_order_number': 4,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NIS_CEN',
'apt_label': 'SCIENCE',
'data_volume_mib': 80.0,
'dither_point_index': 3,
'fixed_orient_used': 0.0,
'ideal_x_position': 9.6673551,
'ideal_y_position': 0.6304002,
'implicit_exposure': 'N',
'max_data_rate': 0.2509131240454199,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 10,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'NIS_CEN_OSS',
'oss_ideal_x_position': -9.6672999,
'oss_ideal_y_position': 0.6303999,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.10373377924,
'dec_center_rotation': 19.23105968078,
'readout_pattern': 'NIS',
'region_shape': 'POLYGON ICRS 124.12321632568 19.21227397792 124.08387715429 19.21247928449 124.08426605845 19.24986145354 124.12360457451 19.24968240431 ',
'v2': -300.801716,
'v3': -697.2899305,
'dark_parallel_slot_duration': 0,
'exposure_duration': 465,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 429.471},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 3,
'pointing_sequence_number': 9,
'visit_file_sequence': 2,
'exposure_spec_order_number': 4,
'target_id': 1,
'target_order_number': 1,
'AperName': 'MIRIM_ILLUM',
'apt_label': 'SCIENCE',
'data_volume_mib': 12.59765625,
'dither_point_index': 3,
'fixed_orient_used': 0.0,
'ideal_x_position': -179.3012244,
'ideal_y_position': -309.4667237,
'implicit_exposure': 'N',
'max_data_rate': 0.8528303066931338,
'mosaic_tile_order_number': 1,
'number_of_groups': 5,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'MIRIM_FULL_OSS',
'oss_ideal_x_position': 179.3006088,
'oss_ideal_y_position': -309.4672334,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.0559798235,
'dec_center_rotation': 19.32111097053,
'readout_pattern': 'FASTR1',
'region_shape': 'POLYGON ICRS 124.06541681078 19.30465884156 124.04370297843 19.30635438753 124.0466770575 19.33756313422 124.06816227784 19.3359689556 ',
'v2': -300.801716,
'v3': -697.2899305,
'dark_parallel_slot_duration': 0,
'exposure_duration': 43,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 13.875},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 10,
'visit_file_sequence': 1,
'exposure_spec_order_number': 5,
'target_id': 1,
'target_order_number': 1,
'AperName': 'NIS_CEN',
'apt_label': 'DIRECT_IMAGE',
'data_volume_mib': 32.0,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': 9.6673551,
'ideal_y_position': 0.6304002,
'implicit_exposure': 'N',
'max_data_rate': 0.23538558244239186,
'mosaic_tile_order_number': 1,
'number_of_detector_outputs': 4,
'number_of_groups': 4,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'NIS_CEN_OSS',
'oss_ideal_x_position': -9.6672999,
'oss_ideal_y_position': 0.6303999,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.10373377924,
'dec_center_rotation': 19.23105968078,
'readout_pattern': 'NIS',
'region_shape': 'POLYGON ICRS 124.12321632568 19.21227397792 124.08387715429 19.21247928449 124.08426605845 19.24986145354 124.12360457451 19.24968240431 ',
'v2': -300.801716,
'v3': -697.2899305,
'dark_parallel_slot_duration': 0,
'exposure_duration': 207,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 171.788},
{'program': 0,
'observation': 10,
'visit': 1,
'exposure': 1,
'pointing_sequence_number': 10,
'visit_file_sequence': 2,
'exposure_spec_order_number': 5,
'target_id': 1,
'target_order_number': 1,
'AperName': 'MIRIM_ILLUM',
'apt_label': 'SCIENCE',
'data_volume_mib': 12.59765625,
'dither_point_index': 1,
'fixed_orient_used': 0.0,
'ideal_x_position': -179.3012244,
'ideal_y_position': -309.4667237,
'implicit_exposure': 'N',
'max_data_rate': 0.8528303066931338,
'mosaic_tile_order_number': 1,
'number_of_groups': 5,
'number_of_integrations': 1,
'number_of_scas': 1,
'oss_AperName': 'MIRIM_FULL_OSS',
'oss_ideal_x_position': 179.3006088,
'oss_ideal_y_position': -309.4672334,
'pointing_type': 'SCIENCE',
'ra_center_rotation': 124.0559798235,
'dec_center_rotation': 19.32111097053,
'readout_pattern': 'FASTR1',
'region_shape': 'POLYGON ICRS 124.06541681078 19.30465884156 124.04370297843 19.30635438753 124.0466770575 19.33756313422 124.06816227784 19.3359689556 ',
'v2': -300.801716,
'v3': -697.2899305,
'dark_parallel_slot_duration': 0,
'exposure_duration': 58,
'external_parallel_slot_duration': 0,
'photon_collecting_duration': 13.875}]
Here we are showing the same exposure level data but using a class method of aptJsonFile called build_dataframe to display the dictionaries as a Pandas DataFrame. Each row of the data frame represents a single exposure.
exposures_df = parsed_json.build_dataframe(tablename)
exposures_df # this is a dataframe
| program | observation | visit | exposure | pointing_sequence_number | exposure_spec_order_number | target_id | target_order_number | AperName | apt_label | ... | number_of_groups | number_of_integrations | number_of_scas | ra_center_rotation | dec_center_rotation | readout_pattern | region_shape | exposure_duration | photon_collecting_duration | visit_file_sequence | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | NRCALL_FULL | BASE | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | NRCALL_FULL | SCIENCE | ... | 6.0 | 1.0 | 10.0 | 124.083819 | 19.237767 | SHALLOW4 | POLYGON ICRS 124.12942092617 19.21930240069 12... | 381.0 | 311.366 | NaN |
| 2 | 0 | 1 | 1 | 2 | 2 | 1 | 1 | 1 | NRCALL_FULL | SCIENCE | ... | 6.0 | 1.0 | 10.0 | 124.083885 | 19.237721 | SHALLOW4 | POLYGON ICRS 124.12948752365 19.21925638885 12... | 350.0 | 311.366 | NaN |
| 3 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | NRCALL_FULL | BASE | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | 0 | 1 | 2 | 1 | 1 | 1 | 1 | 1 | NRCALL_FULL | SCIENCE | ... | 6.0 | 1.0 | 10.0 | 124.100892 | 19.231261 | SHALLOW4 | POLYGON ICRS 124.14649015843 19.21279216436 12... | 381.0 | 311.366 | NaN |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 206 | 0 | 10 | 1 | 2 | 8 | 4 | 1 | 1 | MIRIM_ILLUM | SCIENCE | ... | 5.0 | 1.0 | 1.0 | 124.056125 | 19.321486 | FASTR1 | POLYGON ICRS 124.06556202123 19.30503354489 12... | 43.0 | 13.875 | 2.0 |
| 207 | 0 | 10 | 1 | 3 | 9 | 4 | 1 | 1 | NIS_CEN | SCIENCE | ... | 10.0 | 1.0 | 1.0 | 124.103734 | 19.23106 | NIS | POLYGON ICRS 124.12321632568 19.21227397792 12... | 465.0 | 429.471 | 1.0 |
| 208 | 0 | 10 | 1 | 3 | 9 | 4 | 1 | 1 | MIRIM_ILLUM | SCIENCE | ... | 5.0 | 1.0 | 1.0 | 124.05598 | 19.321111 | FASTR1 | POLYGON ICRS 124.06541681078 19.30465884156 12... | 43.0 | 13.875 | 2.0 |
| 209 | 0 | 10 | 1 | 1 | 10 | 5 | 1 | 1 | NIS_CEN | DIRECT_IMAGE | ... | 4.0 | 1.0 | 1.0 | 124.103734 | 19.23106 | NIS | POLYGON ICRS 124.12321632568 19.21227397792 12... | 207.0 | 171.788 | 1.0 |
| 210 | 0 | 10 | 1 | 1 | 10 | 5 | 1 | 1 | MIRIM_ILLUM | SCIENCE | ... | 5.0 | 1.0 | 1.0 | 124.05598 | 19.321111 | FASTR1 | POLYGON ICRS 124.06541681078 19.30465884156 12... | 58.0 | 13.875 | 2.0 |
211 rows × 37 columns
To display the entire dataframe:
import pandas as pd
pd.set_option('display.max_rows', len(exposures_df))
exposures_df
Generating APT Program Object#
The cells above highlight the data that the JWST Rogue Path Tool uses to detect claws, the cells below show how we use the data from an APT file to detect claws in NIRCam imaging data.
To learn more about our API, we build our documentation using ReadtheDocs.
First, we start by importing our APT program of choice (apt_json_filename) and then we will sweep every angle of attitude (0.0 –> 359.0) degrees in intervals of 1.0 degree steps (angular_step).
In order to save time and memory in this example notebook, we use the usr_defined_obs keyword below to specify that we want to run the Rogue Path Tool only on Observations 1 and 5 in the APT file. usr_defined_options accepts a list of Observation numbers on which to run. Alternately, if you wish to run the tool on all Observations in the APT file, you can omit the usr_defined_options keyword.
program = aptProgram(apt_json_filename, angular_step=1.0, usr_defined_obs=[1, 5])
Run the Rogue Path Tool.
program.run()
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Sweeping angles 0.0 --> 359.0 for Observation: 5 and Exposure: 125
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Sweeping angles 0.0 --> 359.0 for Observation: 5 and Exposure: 126
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Sweeping angles 0.0 --> 359.0 for Observation: 5 and Exposure: 127
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Sweeping angles 0.0 --> 359.0 for Observation: 5 and Exposure: 128
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... Averaging intensities per angle ...
... Calculating flux values ...
... Calculating backgrounds and thresholds ...
One all of the angles are swept and all meta data on potential claw are collected, we can inspect the output. The data structure is organized in the following way
program.observations.data (shows all of the meta data for the program)
program.observations.data[observation_id_number] (shows meta data a single observation)
If you are unsure about which observations from your program were used by the jwst_rogue_path_tool use the following commands
program.observations.supported_observations # Only show the supported observations for JWST Rogue Path Tool
program.observations.supported_observations.keys() # Observation numbers to select data on
dict_keys([1, 5])
For this example, let’s use observation 1
program.observations.data[1]
{'visit': program observation visit apt_prd_name apt_version data_volume \
0 0 1 1 PRDAPTSOC-068-002 2025.1 1255.017302
1 0 1 2 PRDAPTSOC-068-002 2025.1 1255.017302
2 0 1 3 PRDAPTSOC-068-002 2025.1 1255.017302
defer_orient_selection internal_target max_data_rate mosaic ... \
0 N N 2.300549 N ...
1 N N 2.300549 N ...
2 N N 2.300549 N ...
visit_type charged_duration guide_star_acquisition_duration \
0 PRIME_TARGETED_FIXED 1707 151
1 PRIME_TARGETED_FIXED 1809 151
2 PRIME_TARGETED_FIXED 1759 151
initial_overhead_duration overhead_duration scheduling_duration \
0 169 616 1240
1 169 616 1240
2 169 616 1240
science_duration slew_duration coordinated_parallel_data_volume \
0 624 231 NaN
1 624 319 NaN
2 624 276 NaN
template_coord_parallel_1
0 NaN
1 NaN
2 NaN
[3 rows x 29 columns],
'ra': np.float64(124.10089166666668),
'dec': np.float64(19.23126111111111),
'exposures': program observation visit exposure pointing_sequence_number \
1 0 1 1 1 1
2 0 1 1 2 2
4 0 1 2 1 1
5 0 1 2 2 2
7 0 1 3 1 1
8 0 1 3 2 2
exposure_spec_order_number target_id target_order_number AperName \
1 1 1 1 NRCALL_FULL
2 1 1 1 NRCALL_FULL
4 1 1 1 NRCALL_FULL
5 1 1 1 NRCALL_FULL
7 1 1 1 NRCALL_FULL
8 1 1 1 NRCALL_FULL
apt_label ... number_of_groups number_of_integrations number_of_scas \
1 SCIENCE ... 6.0 1.0 10.0
2 SCIENCE ... 6.0 1.0 10.0
4 SCIENCE ... 6.0 1.0 10.0
5 SCIENCE ... 6.0 1.0 10.0
7 SCIENCE ... 6.0 1.0 10.0
8 SCIENCE ... 6.0 1.0 10.0
ra_center_rotation dec_center_rotation readout_pattern \
1 124.083819 19.237767 SHALLOW4
2 124.083885 19.237721 SHALLOW4
4 124.100892 19.231261 SHALLOW4
5 124.100958 19.231215 SHALLOW4
7 124.117963 19.224754 SHALLOW4
8 124.11803 19.224708 SHALLOW4
region_shape exposure_duration \
1 POLYGON ICRS 124.12942092617 19.21930240069 12... 381.0
2 POLYGON ICRS 124.12948752365 19.21925638885 12... 350.0
4 POLYGON ICRS 124.14649015843 19.21279216436 12... 381.0
5 POLYGON ICRS 124.14655674848 19.21274614636 12... 350.0
7 POLYGON ICRS 124.16355803755 19.20628034649 12... 381.0
8 POLYGON ICRS 124.16362462018 19.20623432232 12... 350.0
photon_collecting_duration visit_file_sequence
1 311.366 NaN
2 311.366 NaN
4 311.366 NaN
5 311.366 NaN
7 311.366 NaN
8 311.366 NaN
[6 rows x 37 columns],
'nircam_exposure_specification': program observation visit data_volume_mib dither_id filter_long \
0 0 1 1 1120.0 1.0 F322W2
1 0 1 2 1120.0 1.0 F322W2
2 0 1 3 1120.0 1.0 F322W2
filter_short number_of_detector_outputs number_of_groups \
0 F150W2 4 6
1 F150W2 4 6
2 F150W2 4 6
number_of_integrations order_number readout_pattern subarray pupil_long \
0 1 1 SHALLOW4 FULL NaN
1 1 1 SHALLOW4 FULL NaN
2 1 1 SHALLOW4 FULL NaN
pupil_short
0 NaN
1 NaN
2 NaN ,
'nircam_templates': program observation visit modules
0 0 1 1 ALL
1 0 1 2 ALL
2 0 1 3 ALL,
'valid_starts_angles': array([ 10.5, 83.5, 157.5, 213.5, 325.5]),
'valid_ends_angles': array([ 12.5, 91.5, 161.5, 214.5, 337.5]),
'exposure_frames': <jwst_rogue_path_tool.detect_claws.exposureFrames at 0x7f86f86b8450>,
'averages_A': defaultdict(dict,
{np.float64(0.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-35.4105286 , -95.82311585, 129.20275691, ..., 38.40685158,
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'avg_v3_A': array([ -8.4387935 , -67.34596384, -14.89884765, ..., 2.72296388,
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'avg_v2_B': array([-35.4105286 , -95.82311585, 129.20275691, ..., 38.40685158,
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'avg_v3_B': array([ -8.4387935 , -67.34596384, -14.89884765, ..., 2.72296388,
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np.float64(1.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-35.28769434, -96.08011733, 129.03705987, ..., 38.36292267,
-23.33543205, 118.79717074], shape=(68661,)),
'avg_v3_A': array([ -9.01735073, -68.34057454, -14.12302038, ..., 3.34392073,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-35.28769434, -96.08011733, 129.03705987, ..., 38.36292267,
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'avg_v3_B': array([ -9.01735073, -68.34057454, -14.12302038, ..., 3.34392073,
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np.float64(2.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-35.15621938, -96.36242316, 128.88099103, ..., 38.31044049,
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'avg_v3_A': array([ -9.59409645, -69.33468682, -13.34542462, ..., 3.96421789,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-35.15621938, -96.36242316, 128.88099103, ..., 38.31044049,
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'avg_v3_B': array([ -9.59409645, -69.33468682, -13.34542462, ..., 3.96421789,
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np.float64(3.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-35.01606237, -96.67384832, 128.73441878, ..., 38.2493849 ,
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'avg_v3_A': array([-10.16890413, -70.328225 , -12.56617108, ..., 4.58373761,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-35.01606237, -96.67384832, 128.73441878, ..., 38.2493849 ,
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'avg_v3_B': array([-10.16890413, -70.328225 , -12.56617108, ..., 4.58373761,
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np.float64(4.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-34.86717978, -97.01901278, 128.59721976, ..., 38.1797324 ,
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'avg_v3_A': array([-10.74164602, -71.32109735, -11.78536807, ..., 5.20236158,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-34.86717978, -97.01901278, 128.59721976, ..., 38.1797324 ,
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'avg_v3_B': array([-10.74164602, -71.32109735, -11.78536807, ..., 5.20236158,
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np.float64(5.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-34.709526 , -97.40356434, 128.46927867, ..., 38.10145618,
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'avg_v3_A': array([-11.31219309, -72.31319163, -11.00312163, ..., 5.81997079,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-34.709526 , -97.40356434, 128.46927867, ..., 38.10145618,
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'avg_v3_B': array([-11.31219309, -72.31319163, -11.00312163, ..., 5.81997079,
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np.float64(6.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-34.54305341, -97.8344792 , 128.35048822, ..., 38.01452613,
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'avg_v3_A': array([-11.88041495, -73.30436902, -10.21953575, ..., 6.43644552,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_B': array([-11.88041495, -73.30436902, -10.21953575, ..., 6.43644552,
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np.float64(7.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_A': array([-12.44617979, -74.29445583, -9.43471248, ..., 7.0516652 ,
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np.float64(8.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_B': array([-13.00935432, -75.28323182, -8.6487521 , ..., 7.66550832,
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np.float64(9.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_A': array([-13.56980368, -76.27041367, -7.86175328, ..., 8.27785238,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(10.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(11.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(12.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(13.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(14.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(15.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(16.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(17.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(18.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(19.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_A': array([-1.89935170e+01, -8.58003802e+01, 4.45207048e-02, ...,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_B': array([-1.89935170e+01, -8.58003802e+01, 4.45207048e-02, ...,
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np.float64(20.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_B': array([-19.51458726, -86.6021153 , 0.83675423, ..., 14.87839035,
-9.37849485, -45.78496573], shape=(68661,))},
np.float64(21.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -30.95067789, -145.50350037, 127.61707988, ..., 35.6421169 ,
-21.45240188, 107.71887926], shape=(68661,)),
'avg_v3_A': array([-20.03117266, -87.26987579, 1.62891827, ..., 15.46270455,
-9.74547406, -44.83323856], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -30.95067789, -145.50350037, 127.61707988, ..., 35.6421169 ,
-21.45240188, 107.71887926], shape=(68661,)),
'avg_v3_B': array([-20.03117266, -87.26987579, 1.62891827, ..., 15.46270455,
-9.74547406, -44.83323856], shape=(68661,))},
np.float64(22.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -30.63551509, -166.34347662, 127.63627687, ..., 35.41014449,
-21.29179684, 107.42130649], shape=(68661,)),
'avg_v3_A': array([-20.54311347, -87.68468685, 2.42092282, ..., 16.04379617,
-10.1098954 , -43.87989063], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -30.63551509, -166.34347662, 127.63627687, ..., 35.41014449,
-21.29179684, 107.42130649], shape=(68661,)),
'avg_v3_B': array([-20.54311347, -87.68468685, 2.42092282, ..., 16.04379617,
-10.1098954 , -43.87989063], shape=(68661,))},
np.float64(23.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-30.31055883, 168.61747534, 127.66394318, ..., 35.1685595 ,
-21.12491427, 107.13798478], shape=(68661,)),
'avg_v3_A': array([-21.05024782, -87.70502405, 3.21267764, ..., 16.62151967,
-10.47165391, -42.925025 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-30.31055883, 168.61747534, 127.66394318, ..., 35.1685595 ,
-21.12491427, 107.13798478], shape=(68661,)),
'avg_v3_B': array([-21.05024782, -87.70502405, 3.21267764, ..., 16.62151967,
-10.47165391, -42.925025 ], shape=(68661,))},
np.float64(24.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-29.97575386, 147.15526169, 127.7001035 , ..., 34.91728476,
-20.9517664 , 106.86812282], shape=(68661,)),
'avg_v3_A': array([-21.55241164, -87.32188277, 4.00409213, ..., 17.19572729,
-10.83064445, -41.96873686], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-29.97575386, 147.15526169, 127.7001035 , ..., 34.91728476,
-20.9517664 , 106.86812282], shape=(68661,)),
'avg_v3_B': array([-21.55241164, -87.32188277, 4.00409213, ..., 17.19572729,
-10.83064445, -41.96873686], shape=(68661,))},
np.float64(25.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-29.63104691, 132.54345677, 127.74478973, ..., 34.65624174,
-20.77236667, 106.61098933], shape=(68661,)),
'avg_v3_A': array([-22.04943873, -86.67180734, 4.79507518, ..., 17.76626896,
-11.1867618 , -41.01111427], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-29.63104691, 132.54345677, 127.74478973, ..., 34.65624174,
-20.77236667, 106.61098933], shape=(68661,)),
'avg_v3_B': array([-22.04943873, -86.67180734, 4.79507518, ..., 17.76626896,
-11.1867618 , -41.01111427], shape=(68661,))},
np.float64(26.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-29.27638708, 123.10907113, 127.79804098, ..., 34.38535075,
-20.58672991, 106.36590781], shape=(68661,)),
'avg_v3_A': array([-22.54116075, -85.87925116, 5.58553506, ..., 18.33299224,
-11.53990062, -40.05223881], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-29.27638708, 123.10907113, 127.79804098, ..., 34.38535075,
-20.58672991, 106.36590781], shape=(68661,)),
'avg_v3_B': array([-22.54116075, -85.87925116, 5.58553506, ..., 18.33299224,
-11.53990062, -40.05223881], shape=(68661,))},
np.float64(27.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-28.91172619, 116.83215947, 127.85990362, ..., 34.10453114,
-20.39487232, 106.1322518 ], shape=(68661,)),
'avg_v3_A': array([-23.02740723, -85.01167136, 6.37537928, ..., 18.89574228,
-11.8899555 , -39.09218619], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-28.91172619, 116.83215947, 127.85990362, ..., 34.10453114,
-20.39487232, 106.1322518 ], shape=(68661,)),
'avg_v3_B': array([-23.02740723, -85.01167136, 6.37537928, ..., 18.89574228,
-11.8899555 , -39.09218619], shape=(68661,))},
np.float64(28.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-28.53701921, 112.45274977, 127.93043135, ..., 33.8137016 ,
-20.19681165, 105.90944062], shape=(68661,)),
'avg_v3_A': array([-23.5080056 , -84.10208344, 7.16451444, ..., 19.45436172,
-12.23682095, -38.13102676], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-28.53701921, 112.45274977, 127.93043135, ..., 33.8137016 ,
-20.19681165, 105.90944062], shape=(68661,)),
'avg_v3_B': array([-23.5080056 , -84.10208344, 7.16451444, ..., 19.45436172,
-12.23682095, -38.13102676], shape=(68661,))},
np.float64(29.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-28.15222465, 109.25843079, 128.00968526, ..., 33.51278038,
-19.99256725, 105.69693554], shape=(68661,)),
'avg_v3_A': array([-23.98278122, -83.16724348, 7.95284614, ..., 20.00869067,
-12.58039143, -37.16882601], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-28.15222465, 109.25843079, 128.00968526, ..., 33.51278038,
-19.99256725, 105.69693554], shape=(68661,)),
'avg_v3_B': array([-23.98278122, -83.16724348, 7.95284614, ..., 20.00869067,
-12.58039143, -37.16882601], shape=(68661,))},
np.float64(30.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-27.75730503, 106.83987432, 128.09773387, ..., 33.2016856 ,
-19.78216016, 105.49423629], shape=(68661,)),
'avg_v3_A': array([-24.45155743, -82.21624466, 8.7402788 , ..., 20.55856664,
-12.92056139, -36.20564498], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-27.75730503, 106.83987432, 128.09773387, ..., 33.2016856 ,
-19.78216016, 105.49423629], shape=(68661,)),
'avg_v3_B': array([-24.45155743, -82.21624466, 8.7402788 , ..., 20.55856664,
-12.92056139, -36.20564498], shape=(68661,))},
np.float64(31.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-27.35222728, 104.95172163, 128.19465326, ..., 32.88033553,
-19.56561321, 105.30087797], shape=(68661,)),
'avg_v3_A': array([-24.91415559, -81.25435679, 9.52671554, ..., 21.10382451,
-13.25722529, -35.24154065], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-27.35222728, 104.95172163, 128.19465326, ..., 32.88033553,
-19.56561321, 105.30087797], shape=(68661,)),
'avg_v3_B': array([-24.91415559, -81.25435679, 9.52671554, ..., 21.10382451,
-13.25722529, -35.24154065], shape=(68661,))},
np.float64(32.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-26.93696321, 103.44012449, 128.30052712, ..., 32.54864894,
-19.34295112, 105.11642822], shape=(68661,)),
'avg_v3_A': array([-25.37039519, -80.28481375, 10.31205801, ..., 21.6442965 ,
-13.59027762, -34.27656628], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-26.93696321, 103.44012449, 128.30052712, ..., 32.54864894,
-19.34295112, 105.11642822], shape=(68661,)),
'avg_v3_B': array([-25.37039519, -80.28481375, 10.31205801, ..., 21.6442965 ,
-13.59027762, -34.27656628], shape=(68661,))},
np.float64(33.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-26.51149006, 102.20454179, 128.41544684, ..., 32.20654542,
-19.11420058, 104.94048461], shape=(68661,)),
'avg_v3_A': array([-25.82009388, -79.30969824, 11.09620631, ..., 22.1798121 ,
-13.91961292, -33.31077176], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-26.51149006, 102.20454179, 128.41544684, ..., 32.20654542,
-19.11420058, 104.94048461], shape=(68661,)),
'avg_v3_B': array([-25.82009388, -79.30969824, 11.09620631, ..., 22.1798121 ,
-13.91961292, -33.31077176], shape=(68661,))},
np.float64(34.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-26.07579091, 101.17683663, 128.53951162, ..., 31.85394577,
-18.8793904 , 104.77267242], shape=(68661,)),
'avg_v3_A': array([-26.26306755, -78.33040717, 11.87905875, ..., 22.7101981 ,
-14.24512584, -32.34420384], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-26.07579091, 101.17683663, 128.53951162, ..., 31.85394577,
-18.8793904 , 104.77267242], shape=(68661,)),
'avg_v3_B': array([-26.26306755, -78.33040717, 11.87905875, ..., 22.7101981 ,
-14.24512584, -32.34420384], shape=(68661,))},
np.float64(35.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-25.62985524, 100.30935249, 128.6728286 , ..., 31.49077237,
-18.63855152, 104.61264245], shape=(68661,)),
'avg_v3_A': array([-26.69913051, -77.34791018, 12.66051179, ..., 23.23527852,
-14.56671118, -31.37690642], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-25.62985524, 100.30935249, 128.6728286 , ..., 31.49077237,
-18.63855152, 104.61264245], shape=(68661,)),
'avg_v3_B': array([-26.69913051, -77.34791018, 12.66051179, ..., 23.23527852,
-14.56671118, -31.37690642], shape=(68661,))},
np.float64(36.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-25.17367946, 99.5678333 , 128.81551293, ..., 31.11694959,
-18.39171719, 104.46006915], shape=(68661,)),
'avg_v3_A': array([-27.12809552, -76.36290025, 13.44045979, ..., 23.75487465,
-14.88426388, -30.40892079], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-25.17367946, 99.5678333 , 128.81551293, ..., 31.11694959,
-18.39171719, 104.46006915], shape=(68661,)),
'avg_v3_B': array([-27.12809552, -76.36290025, 13.44045979, ..., 23.75487465,
-14.88426388, -30.40892079], shape=(68661,))},
np.float64(37.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-24.7072674 , 98.92706279, 128.9676879 , ..., 30.73240428,
-18.13892305, 104.31464888], shape=(68661,)),
'avg_v3_A': array([-27.54977396, -75.37588524, 14.21879494, ..., 24.26880501,
-15.19767912, -29.4402858 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-24.7072674 , 98.92706279, 128.9676879 , ..., 30.73240428,
-18.13892305, 104.31464888], shape=(68661,)),
'avg_v3_B': array([-27.54977396, -75.37588524, 14.21879494, ..., 24.26880501,
-15.19767912, -29.4402858 ], shape=(68661,))},
np.float64(38.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-24.2306309 , 98.36808911, 129.12948508, ..., 30.33706614,
-17.8802072 , 104.17609836], shape=(68661,)),
'avg_v3_A': array([-27.96397599, -74.38724552, 14.99540701, ..., 24.77688538,
-15.50685235, -28.47103811], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-24.2306309 , 98.36808911, 129.12948508, ..., 30.33706614,
-17.8802072 , 104.17609836], shape=(68661,)),
'avg_v3_B': array([-27.96397599, -74.38724552, 14.99540701, ..., 24.77688538,
-15.50685235, -28.47103811], shape=(68661,))},
np.float64(39.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-23.74379036, 97.87640572, 129.30104443, ..., 29.93086831,
-17.61561032, 104.04415317], shape=(68661,)),
'avg_v3_A': array([-28.37051068, -73.39727141, 15.77018326, ..., 25.27892881,
-15.81167929, -27.50121233], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-23.74379036, 97.87640572, 129.30104443, ..., 29.93086831,
-17.61561032, 104.04415317], shape=(68661,)),
'avg_v3_B': array([-28.37051068, -73.39727141, 15.77018326, ..., 25.27892881,
-15.81167929, -27.50121233], shape=(68661,))},
np.float64(40.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-23.24677526, 97.44072763, 129.48251446, ..., 29.51374781,
-17.34517578, 103.91856649], shape=(68661,)),
'avg_v3_A': array([-28.76918618, -72.40618825, 16.54300819, ..., 25.77474567,
-16.11205605, -26.53084118], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-23.24677526, 97.44072763, 129.48251446, ..., 29.51374781,
-17.34517578, 103.91856649], shape=(68661,)),
'avg_v3_B': array([-28.76918618, -72.40618825, 16.54300819, ..., 25.77474567,
-16.11205605, -26.53084118], shape=(68661,))},
np.float64(41.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-22.73962475, 97.05214873, 129.67405232, ..., 29.08564608,
-17.06894972, 103.79910791], shape=(68661,)),
'avg_v3_A': array([-29.15980995, -71.41417355, 17.3137634 , ..., 26.26414368,
-16.40787913, -25.55995565], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-22.73962475, 97.05214873, 129.67405232, ..., 29.08564608,
-17.06894972, 103.79910791], shape=(68661,)),
'avg_v3_B': array([-29.15980995, -71.41417355, 17.3137634 , ..., 26.26414368,
-16.40787913, -25.55995565], shape=(68661,))},
np.float64(42.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-22.22238821, 96.70354918, 129.87582396, ..., 28.64650958,
-16.78698115, 103.68556229], shape=(68661,)),
'avg_v3_A': array([-29.54218894, -70.42136901, 18.0823274 , ..., 26.74692796,
-16.69904552, -24.58858513], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-22.22238821, 96.70354918, 129.87582396, ..., 28.64650958,
-16.78698115, 103.68556229], shape=(68661,)),
'avg_v3_B': array([-29.54218894, -70.42136901, 18.0823274 , ..., 26.74692796,
-16.69904552, -24.58858513], shape=(68661,))},
np.float64(43.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-21.69512579, 96.38917082, 130.08800429, ..., 28.19629037,
-16.49932205, 103.57772882], shape=(68661,)),
'avg_v3_A': array([-29.91612979, -69.42788908, 18.84857542, ..., 27.22290112,
-16.9854527 , -23.61675754], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-21.69512579, 96.38917082, 130.08800429, ..., 28.19629037,
-16.49932205, 103.57772882], shape=(68661,)),
'avg_v3_B': array([-29.91612979, -69.42788908, 18.84857542, ..., 27.22290112,
-16.9854527 , -23.61675754], shape=(68661,))},
np.float64(44.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-21.15790896, 96.1043078 , 130.31077727, ..., 27.73494665,
-16.20602748, 103.47542007], shape=(68661,)),
'avg_v3_A': array([-30.28143912, -68.43382719, 19.61237918, ..., 27.69186334,
-17.26699876, -22.64449943], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-21.15790896, 96.1043078 , 130.31077727, ..., 27.73494665,
-16.20602748, 103.47542007], shape=(68661,)),
'avg_v3_B': array([-30.28143912, -68.43382719, 19.61237918, ..., 27.69186334,
-17.26699876, -22.64449943], shape=(68661,))},
np.float64(45.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-20.61082108, 95.8450775 , 130.54433608, ..., 27.26244351,
-15.90715562, 103.37846119], shape=(68661,)),
'avg_v3_A': array([-30.63792377, -67.43926035, 20.37360671, ..., 28.15361243,
-17.54358242, -21.6718361 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-20.61082108, 95.8450775 , 130.54433608, ..., 27.26244351,
-15.90715562, 103.37846119], shape=(68661,)),
'avg_v3_B': array([-30.63792377, -67.43926035, 20.37360671, ..., 28.15361243,
-17.54358242, -21.6718361 ], shape=(68661,))},
np.float64(46.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-20.05395785, 95.60824867, 130.78888325, ..., 26.77875347,
-15.60276791, 103.28668911], shape=(68661,)),
'avg_v3_A': array([-30.98539103, -66.44425264, 21.13212215, ..., 28.60794402,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-20.05395785, 95.60824867, 130.78888325, ..., 26.77875347,
-15.60276791, 103.28668911], shape=(68661,)),
'avg_v3_B': array([-30.98539103, -66.44425264, 21.13212215, ..., 28.60794402,
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np.float64(47.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-19.48742791, 95.3911108 , 131.04463078, ..., 26.2838572 ,
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'avg_v3_A': array([-31.32364899, -65.44885775, 21.88778548, ..., 29.05465164,
-18.08146111, -19.72538926], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-19.48742791, 95.3911108 , 131.04463078, ..., 26.2838572 ,
-15.2929291 , 103.19995188], shape=(68661,)),
'avg_v3_B': array([-31.32364899, -65.44885775, 21.88778548, ..., 29.05465164,
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np.float64(48.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-18.91135324, 95.19137354, 131.31180025, ..., 25.77774424,
-14.97770736, 103.11810802], shape=(68661,)),
'avg_v3_A': array([-31.65250679, -64.45312104, 22.64045236, ..., 29.49352689,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-18.91135324, 95.19137354, 131.31180025, ..., 25.77774424,
-14.97770736, 103.11810802], shape=(68661,)),
'avg_v3_B': array([-31.65250679, -64.45312104, 22.64045236, ..., 29.49352689,
-18.34255744, -18.75165089], shape=(68661,))},
np.float64(49.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-18.32586965, 95.00708864, 131.59062296, ..., 25.26041364,
-14.65717431, 103.04102594], shape=(68661,)),
'avg_v3_A': array([-31.97177499, -63.45708108, 23.38997383, ..., 29.92435959,
-18.59829412, -17.77759776], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-18.32586965, 95.00708864, 131.59062296, ..., 25.26041364,
-14.65717431, 103.04102594], shape=(68661,)),
'avg_v3_B': array([-31.97177499, -63.45708108, 23.38997383, ..., 29.92435959,
-18.59829412, -17.77759776], shape=(68661,))},
np.float64(50.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-17.73112719, 94.83658851, 131.88134001, ..., 24.73187473,
-14.33140516, 102.96858341], shape=(68661,)),
'avg_v3_A': array([-32.28126586, -62.46077088, 24.1361961 , ..., 30.34693801,
-18.84857418, -16.80325019], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-17.73112719, 94.83658851, 131.88134001, ..., 24.73187473,
-14.33140516, 102.96858341], shape=(68661,)),
'avg_v3_B': array([-32.28126586, -62.46077088, 24.1361961 , ..., 30.34693801,
-18.84857418, -16.80325019], shape=(68661,))},
np.float64(51.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-17.12729054, 94.67843761, 132.18420236, ..., 24.1921478 ,
-14.00047869, 102.90066706], shape=(68661,)),
'avg_v3_A': array([-32.58079375, -61.46421885, 24.8789603 , ..., 30.76104904,
-19.09330169, -15.82862775], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-17.12729054, 94.67843761, 132.18420236, ..., 24.1921478 ,
-14.00047869, 102.90066706], shape=(68661,)),
'avg_v3_B': array([-32.58079375, -61.46421885, 24.8789603 , ..., 30.76104904,
-19.09330169, -15.82862775], shape=(68661,))},
np.float64(52.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-16.51453934, 94.53139356, 132.49947097, ..., 23.6412649 ,
-13.66447739, 102.83717195], shape=(68661,)),
'avg_v3_A': array([-32.87017543, -60.46744956, 25.61810223, ..., 31.16647844,
-19.33238193, -14.85374927], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-16.51453934, 94.53139356, 132.49947097, ..., 23.6412649 ,
-13.66447739, 102.83717195], shape=(68661,)),
'avg_v3_B': array([-32.87017543, -60.46744956, 25.61810223, ..., 31.16647844,
-19.33238193, -14.85374927], shape=(68661,))},
np.float64(53.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-15.89306848, 94.3943758 , 132.82741678, ..., 23.0792705 ,
-13.32348747, 102.77800116], shape=(68661,)),
'avg_v3_A': array([-33.14923051, -59.47048441, 26.35345206, ..., 31.5630111 ,
-19.56572138, -13.87863296], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-15.89306848, 94.3943758 , 132.82741678, ..., 23.0792705 ,
-13.32348747, 102.77800116], shape=(68661,)),
'avg_v3_B': array([-33.14923051, -59.47048441, 26.35345206, ..., 31.5630111 ,
-19.56572138, -13.87863296], shape=(68661,))},
np.float64(54.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-15.26308834, 94.26644017, 133.16832073, ..., 22.50622227,
-12.97759891, 102.72306545], shape=(68661,)),
'avg_v3_A': array([-33.41778177, -58.47334209, 27.08483408, ..., 31.95043128,
-19.79322788, -12.9032964 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-15.26308834, 94.26644017, 133.16832073, ..., 22.50622227,
-12.97759891, 102.72306545], shape=(68661,)),
'avg_v3_B': array([-33.41778177, -58.47334209, 27.08483408, ..., 31.95043128,
-19.79322788, -12.9032964 ], shape=(68661,))},
np.float64(55.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-14.62482498, 94.14675812, 133.52247381, ..., 21.9221918 ,
-12.62690553, 102.67228287], shape=(68661,)),
'avg_v3_A': array([-33.67565558, -57.47603899, 27.81206644, ..., 32.32852293,
-20.01481068, -11.92775667], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-14.62482498, 94.14675812, 133.52247381, ..., 21.9221918 ,
-12.62690553, 102.67228287], shape=(68661,)),
'avg_v3_B': array([-33.67565558, -57.47603899, 27.81206644, ..., 32.32852293,
-20.01481068, -11.92775667], shape=(68661,))},
np.float64(56.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-13.97852024, 94.0345996 , 133.89017693, ..., 21.32726529,
-12.27150498, 102.62557851], shape=(68661,)),
'avg_v3_A': array([-33.92268228, -56.47858958, 28.53496082, ..., 32.69707002,
-20.23038053, -10.9520303 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-13.97852024, 94.0345996 , 133.89017693, ..., 21.32726529,
-12.27150498, 102.62557851], shape=(68661,)),
'avg_v3_B': array([-33.92268228, -56.47858958, 28.53496082, ..., 32.69707002,
-20.23038053, -10.9520303 ], shape=(68661,))},
np.float64(57.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-13.3244318 , 93.9293189 , 134.27174093, ..., 20.72154429,
-11.91149879, 102.58288419], shape=(68661,)),
'avg_v3_A': array([-34.15869663, -55.48100664, 29.25332215, ..., 33.05585684,
-20.43984978, -9.97613341], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-13.3244318 , 93.9293189 , 134.27174093, ..., 20.72154429,
-11.91149879, 102.58288419], shape=(68661,)),
'avg_v3_B': array([-34.15869663, -55.48100664, 29.25332215, ..., 33.05585684,
-20.43984978, -9.97613341], shape=(68661,))},
np.float64(58.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-12.66283316, 93.83034287, 134.66748634, ..., 20.10514631,
-11.5469924 , 102.54413823], shape=(68661,)),
'avg_v3_A': array([-34.38353816, -54.48330155, 29.96694832, ..., 33.40466838,
-20.64313245, -9.00008169], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-12.66283316, 93.83034287, 134.66748634, ..., 20.10514631,
-11.5469924 , 102.54413823], shape=(68661,)),
'avg_v3_B': array([-34.38353816, -54.48330155, 29.96694832, ..., 33.40466838,
-20.64313245, -9.00008169], shape=(68661,))},
np.float64(59.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-11.99401355, 93.73716106, 135.0777433 , ..., 19.47820552,
-11.17809513, 102.50928524], shape=(68661,)),
'avg_v3_A': array([-34.59705162, -53.48548443, 30.67562987, ..., 33.74329071,
-20.84014434, -8.02389048], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-11.99401355, 93.73716106, 135.0777433 , ..., 19.47820552,
-11.17809513, 102.50928524], shape=(68661,)),
'avg_v3_B': array([-34.59705162, -53.48548443, 30.67562987, ..., 33.74329071,
-20.84014434, -8.02389048], shape=(68661,))},
np.float64(60.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-11.31827774, 93.64931739, 135.50285124, ..., 18.84087329,
-10.80492023, 102.4782759 ], shape=(68661,)),
'avg_v3_A': array([-34.7990874 , -52.48756433, 31.37914968, ..., 34.0715114 ,
-21.03080312, -7.04757477], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-11.31827774, 93.64931739, 135.50285124, ..., 18.84087329,
-10.80492023, 102.4782759 ], shape=(68661,)),
'avg_v3_B': array([-34.7990874 , -52.48756433, 31.37914968, ..., 34.0715114 ,
-21.03080312, -7.04757477], shape=(68661,))},
np.float64(61.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-10.6359458 , 93.5664032 , 135.94315859, ..., 18.19331883,
-10.42758481, 102.45106681], shape=(68661,)),
'avg_v3_A': array([-34.9895019 , -51.48954936, 32.07728264, ..., 34.3891199 ,
-21.21502842, -6.07114929], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-10.6359458 , 93.5664032 , 135.94315859, ..., 18.19331883,
-10.42758481, 102.45106681], shape=(68661,)),
'avg_v3_B': array([-34.9895019 , -51.48954936, 32.07728264, ..., 34.3891199 ,
-21.21502842, -6.07114929], shape=(68661,))},
np.float64(62.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -9.94735277, 93.48805122, 136.39902238, ..., 17.53572961,
-10.04620988, 102.42762031], shape=(68661,)),
'avg_v3_A': array([-35.16815796, -50.49144685, 32.76979535, ..., 34.695908 ,
-21.3927419 , -5.0946285 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -9.94735277, 93.48805122, 136.39902238, ..., 17.53572961,
-10.04620988, 102.42762031], shape=(68661,)),
'avg_v3_B': array([-35.16815796, -50.49144685, 32.76979535, ..., 34.695908 ,
-21.3927419 , -5.0946285 ], shape=(68661,))},
np.float64(63.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -9.25284822, 93.41393053, 136.87080781, ..., 16.86831186,
-9.66092027, 102.40790441], shape=(68661,)),
'avg_v3_A': array([-35.33492525, -49.49326337, 33.45644577, ..., 34.99167031,
-21.56386738, -4.11802664], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -9.25284822, 93.41393053, 136.87080781, ..., 16.86831186,
-9.66092027, 102.40790441], shape=(68661,)),
'avg_v3_B': array([-35.33492525, -49.49326337, 33.45644577, ..., 34.99167031,
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np.float64(64.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -8.55279575, 93.34374222, 137.35888759, ..., 16.19129094,
-9.27184463, 102.39189259], shape=(68661,)),
'avg_v3_A': array([-35.48968068, -48.49500489, 34.13698297, ..., 35.27620471,
-21.72833091, -3.1413578 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -8.55279575, 93.34374222, 137.35888759, ..., 16.19129094,
-9.27184463, 102.39189259], shape=(68661,)),
'avg_v3_B': array([-35.48968068, -48.49500489, 34.13698297, ..., 35.27620471,
-21.72833091, -3.1413578 ], shape=(68661,))},
np.float64(65.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -7.84757241, 93.27721563, 137.86364132, ..., 15.50491164,
-8.87911536, 102.3795638 ], shape=(68661,)),
'avg_v3_A': array([-35.63230871, -47.49667682, 34.81114674, ..., 35.54931282,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -7.84757241, 93.27721563, 137.86364132, ..., 15.50491164,
-8.87911536, 102.3795638 ], shape=(68661,)),
'avg_v3_B': array([-35.63230871, -47.49667682, 34.81114674, ..., 35.54931282,
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np.float64(66.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -7.13756803, 93.21410512, 138.38545468, ..., 14.8094384 ,
-8.48286853, 102.37090233], shape=(68661,)),
'avg_v3_A': array([-35.76270178, -46.49828406, 35.47866731, ..., 35.81080054,
-22.03698805, -1.18787469], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -7.13756803, 93.21410512, 138.38545468, ..., 14.8094384 ,
-8.48286853, 102.37090233], shape=(68661,)),
'avg_v3_B': array([-35.76270178, -46.49828406, 35.47866731, ..., 35.81080054,
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np.float64(67.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -6.42318445, 93.1541873 , 138.92471848, ..., 14.10515547,
-8.08324386, 102.36589779], shape=(68661,)),
'avg_v3_A': array([-35.88076061, -45.4998311 , 36.13926507, ..., 36.06047854,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -6.42318445, 93.1541873 , 138.92471848, ..., 14.10515547,
-8.08324386, 102.36589779], shape=(68661,)),
'avg_v3_B': array([-35.88076061, -45.4998311 , 36.13926507, ..., 36.06047854,
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np.float64(68.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -5.70483468, 93.09725858, 139.48182758, ..., 13.39236693,
-7.68038458, 102.36454504], shape=(68661,)),
'avg_v3_A': array([-35.98639452, -44.50132203, 36.79265023, ..., 36.29816276,
-22.31816982, 0.76571068], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -5.70483468, 93.09725858, 139.48182758, ..., 13.39236693,
-7.68038458, 102.36454504], shape=(68661,)),
'avg_v3_B': array([-35.98639452, -44.50132203, 36.79265023, ..., 36.29816276,
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np.float64(69.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -4.98294202, 93.04313307, 140.05717968, ..., 12.67139663,
-7.27443738, 102.36684424], shape=(68661,)),
'avg_v3_A': array([-36.07952174, -43.50276058, 37.4385226 , ..., 36.52367496,
-22.44829887, 1.74250754], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -4.98294202, 93.04313307, 140.05717968, ..., 12.67139663,
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'avg_v3_B': array([-36.07952174, -43.50276058, 37.4385226 , ..., 36.52367496,
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np.float64(70.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -4.25793907, 92.99164075, 140.65117389, ..., 11.94258805,
-6.86555229, 102.37280077], shape=(68661,)),
'avg_v3_A': array([-36.16006968, -42.5041502 , 38.07657129, ..., 36.73684323,
-22.57137421, 2.71928896], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -4.25793907, 92.99164075, 140.65117389, ..., 11.94258805,
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'avg_v3_B': array([-36.16006968, -42.5041502 , 38.07657129, ..., 36.73684323,
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np.float64(71.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -3.53026668, 92.94262581, 141.26420914, ..., 11.20630401,
-6.45388255, 102.38242532], shape=(68661,)),
'avg_v3_A': array([-36.22797517, -41.50549404, 38.70647448, ..., 36.9375025 ,
-22.68734001, 3.69604126], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -3.53026668, 92.94262581, 141.26420914, ..., 11.20630401,
-6.45388255, 102.38242532], shape=(68661,)),
'avg_v3_B': array([-36.22797517, -41.50549404, 38.70647448, ..., 36.9375025 ,
-22.68734001, 3.69604126], shape=(68661,))},
np.float64(72.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -2.80037286, 92.89594524, 141.89668241, ..., 10.46292627,
-6.03958452, 102.39573388], shape=(68661,)),
'avg_v3_A': array([-36.28318467, -40.50679499, 39.32789925, ..., 37.12549508,
-22.79614337, 4.67275063], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -2.80037286, 92.89594524, 141.89668241, ..., 10.46292627,
-6.03958452, 102.39573388], shape=(68661,)),
'avg_v3_B': array([-36.28318467, -40.50679499, 39.32789925, ..., 37.12549508,
-22.79614337, 4.67275063], shape=(68661,))},
np.float64(73.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -2.06871162, 92.8514676 , 142.54898668, ..., 9.71285507,
-5.62281751, 102.41274783], shape=(68661,)),
'avg_v3_A': array([-36.32565445, -39.50805575, 39.94050135, ..., 37.30067115,
-22.89773438, 5.64940321], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -2.06871162, 92.8514676 , 142.54898668, ..., 9.71285507,
-5.62281751, 102.41274783], shape=(68661,)),
'avg_v3_B': array([-36.32565445, -39.50805575, 39.94050135, ..., 37.30067115,
-22.89773438, 5.64940321], shape=(68661,))},
np.float64(74.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -1.33574178, 92.80907187, 143.22150871, ..., 8.95650845,
-5.20374366, 102.433494 ], shape=(68661,)),
'avg_v3_A': array([-36.35535079, -38.50927879, 40.54392513, ..., 37.46288926,
-22.9920662 , 6.62598496], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -1.33574178, 92.80907187, 143.22150871, ..., 8.95650845,
-5.20374366, 102.433494 ], shape=(68661,)),
'avg_v3_B': array([-36.35535079, -38.50927879, 40.54392513, ..., 37.46288926,
-22.9920662 , 6.62598496], shape=(68661,))},
np.float64(75.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -0.60192573, 92.76864651, 143.91462658, ..., 8.19432154,
-4.78252777, 102.45800475], shape=(68661,)),
'avg_v3_A': array([-36.37225002, -37.51046641, 41.13780342, ..., 37.6120168 ,
-23.07909513, 7.60248168], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -0.60192573, 92.76864651, 143.91462658, ..., 8.19432154,
-4.78252777, 102.45800475], shape=(68661,)),
'avg_v3_B': array([-36.37225002, -37.51046641, 41.13780342, ..., 37.6120168 ,
-23.07909513, 7.60248168], shape=(68661,))},
np.float64(76.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 1.32271790e-01, 9.27300886e+01, 1.44628707e+02, ...,
7.42674572e+00, -4.35933716e+00, 1.02486318e+02], shape=(68661,)),
'avg_v3_A': array([-36.37633865, -36.51162072, 41.72175749, ..., 37.74793049,
-23.15878068, 8.57887895], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 1.32271790e-01, 9.27300886e+01, 1.44628707e+02, ...,
7.42674572e+00, -4.35933716e+00, 1.02486318e+02], shape=(68661,)),
'avg_v3_B': array([-36.37633865, -36.51162072, 41.72175749, ..., 37.74793049,
-23.15878068, 8.57887895], shape=(68661,))},
np.float64(77.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 0.86638502, 92.69330287, 145.364102 , ..., 6.6542476 ,
-3.93434144, 102.51847796], shape=(68661,)),
'avg_v3_A': array([-36.36761342, -35.51274371, 42.2953971 , ..., 37.87051678,
-23.23108561, 9.55516213], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 0.86638502, 92.69330287, 145.364102 , ..., 6.6542476 ,
-3.93434144, 102.51847796], shape=(68661,)),
'avg_v3_B': array([-36.36761342, -35.51274371, 42.2953971 , ..., 37.87051678,
-23.23108561, 9.55516213], shape=(68661,))},
np.float64(78.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 1.59994843, 92.65820141, 146.12114629, ..., 5.87730799,
-3.50771241, 102.55453404], shape=(68661,)),
'avg_v3_A': array([-36.3460813 , -34.51383722, 42.85832064, ..., 37.97967228,
-23.29597603, 10.53131627], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 1.59994843, 92.65820141, 146.12114629, ..., 5.87730799,
-3.50771241, 102.55453404], shape=(68661,)),
'avg_v3_B': array([-36.3460813 , -34.51383722, 42.85832064, ..., 37.97967228,
-23.29597603, 10.53131627], shape=(68661,))},
np.float64(79.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 2.33249797, 92.62470264, 146.90015311, ..., 5.09642067,
-3.0796238 , 102.59454227], shape=(68661,)),
'avg_v3_A': array([-36.31175945, -33.51490296, 43.41011522, ..., 38.07530416,
-23.3534214 , 11.50732613], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 2.33249797, 92.62470264, 146.90015311, ..., 5.09642067,
-3.0796238 , 102.59454227], shape=(68661,)),
'avg_v3_B': array([-36.31175945, -33.51490296, 43.41011522, ..., 38.07530416,
-23.3534214 , 11.50732613], shape=(68661,))},
np.float64(80.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 3.06357241, 92.592731 , 147.70141069, ..., 4.31209114,
-2.65025113, 102.63856491], shape=(68661,)),
'avg_v3_A': array([-36.26467521, -32.51594253, 43.95035704, ..., 38.15733044,
-23.40339461, 12.48317609], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 3.06357241, 92.592731 , 147.70141069, ..., 4.31209114,
-2.65025113, 102.63856491], shape=(68661,)),
'avg_v3_B': array([-36.26467521, -32.51594253, 43.95035704, ..., 38.15733044,
-23.40339461, 12.48317609], shape=(68661,))},
np.float64(81.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 3.79271453, 92.56221634, 148.52517815, ..., 3.52483523,
-2.21977147, 102.68667078], shape=(68661,)),
'avg_v3_A': array([-36.20486593, -31.51695743, 44.47861172, ..., 38.22568038,
-23.44587201, 13.45885015], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 3.79271453, 92.56221634, 148.52517815, ..., 3.52483523,
-2.21977147, 102.68667078], shape=(68661,)),
'avg_v3_B': array([-36.20486593, -31.51695743, 44.47861172, ..., 38.22568038,
-23.44587201, 13.45885015], shape=(68661,))},
np.float64(82.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 4.51947234, 92.53309356, 149.37168108, ..., 2.7351776 ,
-1.78836324, 102.73893549], shape=(68661,)),
'avg_v3_A': array([-36.13237891, -30.51794906, 44.99443477, ..., 38.28029466,
-23.48083346, 14.43433184], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 4.51947234, 92.53309356, 149.37168108, ..., 2.7351776 ,
-1.78836324, 102.73893549], shape=(68661,)),
'avg_v3_B': array([-36.13237891, -30.51794906, 44.99443477, ..., 38.28029466,
-23.48083346, 14.43433184], shape=(68661,))},
np.float64(83.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 5.2434003 , 92.50530213, 150.24110698, ..., 1.94365031,
-1.35620599, 102.7954418 ], shape=(68661,)),
'avg_v3_A': array([-36.04727119, -29.51891874, 45.49737223, ..., 38.32112571,
-23.50826234, 15.40960423], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 5.2434003 , 92.50530213, 150.24110698, ..., 1.94365031,
-1.35620599, 102.7954418 ], shape=(68661,)),
'avg_v3_B': array([-36.04727119, -29.51891874, 45.49737223, ..., 38.32112571,
-23.50826234, 15.40960423], shape=(68661,))},
np.float64(84.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 5.96406043, 92.47878578, 151.13360041, ..., 1.15079113,
-0.92348024, 102.85627983], shape=(68661,)),
'avg_v3_A': array([-35.94960939, -28.51986769, 45.98696136, ..., 38.34813781,
-23.5281456 , 16.38464983], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 5.96406043, 92.47878578, 151.13360041, ..., 1.15079113,
-0.92348024, 102.85627983], shape=(68661,)),
'avg_v3_B': array([-35.94960939, -28.51986769, 45.98696136, ..., 38.34813781,
-23.5281456 , 16.38464983], shape=(68661,))},
np.float64(85.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 6.68102337, 92.45349216, 152.04925798, ..., 0.35714197,
-0.49036716, 102.92154748], shape=(68661,)),
'avg_v3_A': array([-35.83946944, -27.52079709, 46.46273156, ..., 38.36130728,
-23.54047376, 17.35945057], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 6.68102337, 92.45349216, 152.04925798, ..., 0.35714197,
-0.49036716, 102.92154748], shape=(68661,)),
'avg_v3_B': array([-35.83946944, -27.52079709, 46.46273156, ..., 38.36130728,
-23.54047376, 17.35945057], shape=(68661,))},
np.float64(86.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 7.39386944e+00, 9.24293725e+01, 1.52988123e+02, ...,
-4.36752828e-01, -5.70484412e-02, 1.02991351e+02], shape=(68661,)),
'avg_v3_A': array([-35.71693637, -26.52170802, 46.92420534, ..., 38.36062255,
-23.54524095, 18.33398773], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 7.39386944e+00, 9.24293725e+01, 1.52988123e+02, ...,
-4.36752828e-01, -5.70484412e-02, 1.02991351e+02], shape=(68661,)),
'avg_v3_B': array([-35.71693637, -26.52170802, 46.92420534, ..., 38.36062255,
-23.54524095, 18.33398773], shape=(68661,))},
np.float64(87.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 8.10218955, 92.40638153, 153.95018113, ..., -1.23034813,
0.376294 , 103.06580431], shape=(68661,)),
'avg_v3_A': array([-35.582104 , -25.52260152, 47.37089954, ..., 38.34608422,
-23.54244489, 19.30824189], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 8.10218955, 92.40638153, 153.95018113, ..., -1.23034813,
0.376294 , 103.06580431], shape=(68661,)),
'avg_v3_B': array([-35.582104 , -25.52260152, 47.37089954, ..., 38.34608422,
-23.54244489, 19.30824189], shape=(68661,))},
np.float64(88.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 8.80558613, 92.3844769 , 154.93535313, ..., -2.02309976,
0.80947819, 103.14503167], shape=(68661,)),
'avg_v3_A': array([-35.43507466, -24.52347857, 47.80232665, ..., 38.31770507,
-23.53208691, 20.28219286], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 8.80558613, 92.3844769 , 154.93535313, ..., -2.02309976,
0.80947819, 103.14503167], shape=(68661,)),
'avg_v3_B': array([-35.43507466, -24.52347857, 47.80232665, ..., 38.31770507,
-23.53208691, 20.28219286], shape=(68661,))},
np.float64(89.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 9.5036739 , 92.36361927, 155.94349152, ..., -2.81446613,
1.24232238, 103.22916596], shape=(68661,)),
'avg_v3_A': array([-35.27595883, -23.5243401 , 48.21799631, ..., 38.27550996,
-23.51417196, 21.25581964], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 9.5036739 , 92.36361927, 155.94349152, ..., -2.81446613,
1.24232238, 103.22916596], shape=(68661,)),
'avg_v3_B': array([-35.27595883, -23.5243401 , 48.21799631, ..., 38.27550996,
-23.51417196, 21.25581964], shape=(68661,))},
np.float64(90.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 10.19608059, 92.34377197, 156.97437441, ..., -3.60390997,
1.67464522, 103.31835034], shape=(68661,)),
'avg_v3_A': array([-35.10487482, -22.52518696, 48.61741698, ..., 38.21953579,
-23.48870857, 22.22910029], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 10.19608059, 92.34377197, 156.97437441, ..., -3.60390997,
1.67464522, 103.31835034], shape=(68661,)),
'avg_v3_B': array([-35.10487482, -22.52518696, 48.61741698, ..., 38.21953579,
-23.48870857, 22.22910029], shape=(68661,))},
np.float64(91.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 10.88244761, 92.32490086, 158.02770074, ..., -4.39089989,
2.10626602, 103.41273862], shape=(68661,)),
'avg_v3_A': array([-34.92194838, -21.52602001, 49.00009784, ..., 38.14983132,
-23.45570887, 23.20201191], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 10.88244761, 92.32490086, 158.02770074, ..., -4.39089989,
2.10626602, 103.41273862], shape=(68661,)),
'avg_v3_B': array([-34.92194838, -21.52602001, 49.00009784, ..., 38.14983132,
-23.45570887, 23.20201191], shape=(68661,))},
np.float64(92.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 11.5624306 , 92.30697415, 159.10308555, ..., -5.17491203,
2.53700494, 103.51249595], shape=(68661,)),
'avg_v3_A': array([-34.72731238, -20.52684003, 49.36555072, ..., 38.06645698,
-23.41518855, 24.17453053], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 11.5624306 , 92.30697415, 159.10308555, ..., -5.17491203,
2.53700494, 103.51249595], shape=(68661,)),
'avg_v3_B': array([-34.72731238, -20.52684003, 49.36555072, ..., 38.06645698,
-23.41518855, 24.17453053], shape=(68661,))},
np.float64(93.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 12.2356999 , 92.28996223, 160.20005578, ..., -5.95543151,
2.96668325, 103.61779948], shape=(68661,)),
'avg_v3_A': array([-34.52110633, -19.52764777, 49.71329235, ..., 37.96948466,
-23.36716683, 25.14663102], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 12.2356999 , 92.28996223, 160.20005578, ..., -5.95543151,
2.96668325, 103.61779948], shape=(68661,)),
'avg_v3_B': array([-34.52110633, -19.52764777, 49.71329235, ..., 37.96948466,
-23.36716683, 25.14663102], shape=(68661,))},
np.float64(94.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 12.90194093, 92.27383758, 161.31804646, ..., -6.73195394,
3.39512351, 103.72883921], shape=(68661,)),
'avg_v3_A': array([-34.30347606, -18.52844396, 50.04284663, ..., 37.8589974 ,
-23.31166644, 26.11828702], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 12.90194093, 92.27383758, 161.31804646, ..., -6.73195394,
3.39512351, 103.72883921], shape=(68661,)),
'avg_v3_B': array([-34.30347606, -18.52844396, 50.04284663, ..., 37.8589974 ,
-23.31166644, 26.11828702], shape=(68661,))},
np.float64(95.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 13.56085452, 92.25857462, 162.45639773, ..., -7.50398676,
3.82214978, 103.84581882], shape=(68661,)),
'avg_v3_A': array([-34.07457327, -17.52922928, 50.35374713, ..., 37.73508912,
-23.24871361, 27.08947077], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 13.56085452, 92.25857462, 162.45639773, ..., -7.50398676,
3.82214978, 103.84581882], shape=(68661,)),
'avg_v3_B': array([-34.07457327, -17.52922928, 50.35374713, ..., 37.73508912,
-23.24871361, 27.08947077], shape=(68661,))},
np.float64(96.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 14.21215713, 92.2441496 , 163.61435245, ..., -8.27105052,
4.24758783, 103.9689566 ], shape=(68661,)),
'avg_v3_A': array([-33.83455515, -16.53000438, 50.64553964, ..., 37.59786421,
-23.17833798, 28.06015308], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 14.21215713, 92.2441496 , 163.61435245, ..., -8.27105052,
4.24758783, 103.9689566 ], shape=(68661,)),
'avg_v3_B': array([-33.83455515, -16.53000438, 50.64553964, ..., 37.59786421,
-23.17833798, 28.06015308], shape=(68661,))},
np.float64(97.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 14.85558096, 92.23054049, 164.7910548 , ..., -9.03268005,
4.67126536, 104.09848649], shape=(68661,)),
'avg_v3_A': array([-33.58358394, -15.5307699 , 50.91778485, ..., 37.44743721,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 14.85558096, 92.23054049, 164.7910548 , ..., -9.03268005,
4.67126536, 104.09848649], shape=(68661,)),
'avg_v3_B': array([-33.58358394, -15.5307699 , 50.91778485, ..., 37.44743721,
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np.float64(98.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 15.49087406, 92.21772691, 165.98554992, ..., -9.78842556,
5.09301215, 104.23465924], shape=(68661,)),
'avg_v3_A': array([-33.32182653, -14.53152645, 51.17006109, ..., 37.28393234,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 15.49087406, 92.21772691, 165.98554992, ..., -9.78842556,
5.09301215, 104.23465924], shape=(68661,)),
'avg_v3_B': array([-33.32182653, -14.53152645, 51.17006109, ..., 37.28393234,
-23.01545377, 29.99988837], shape=(68661,))},
np.float64(99.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 16.11780032, 92.20569001, 167.19678455, ..., -10.53785355,
5.51266027, 104.37774361], shape=(68661,)),
'avg_v3_A': array([-33.04945406, -13.5322746 , 51.4019671 , ..., 37.1074831 ,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 16.11780032, 92.20569001, 167.19678455, ..., -10.53785355,
5.51266027, 104.37774361], shape=(68661,)),
'avg_v3_B': array([-33.04945406, -13.5322746 , 51.4019671 , ..., 37.1074831 ,
-22.92302121, 30.96887438], shape=(68661,))},
np.float64(100.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 16.73613938, 92.19441244, 168.4236089 , ..., -11.28054771,
5.93004426, 104.52802774], shape=(68661,)),
'avg_v3_A': array([-32.7666415 , -12.53301492, 51.61312479, ..., 36.91823179,
-22.82331776, 31.93722469], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 16.73613938, 92.19441244, 168.4236089 , ..., -11.28054771,
5.93004426, 104.52802774], shape=(68661,)),
'avg_v3_B': array([-32.7666415 , -12.53301492, 51.61312479, ..., 36.91823179,
-22.82331776, 31.93722469], shape=(68661,))},
np.float64(101.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 17.34568647, 92.18387823, 169.66477985, ..., -12.01610962,
6.34500126, 104.68582067], shape=(68661,)),
'avg_v3_A': array([-32.47356727, -11.53374795, 51.80318201, ..., 36.71632903,
-22.71638946, 32.90490059], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 17.34568647, 92.18387823, 169.66477985, ..., -12.01610962,
6.34500126, 104.68582067], shape=(68661,)),
'avg_v3_B': array([-32.47356727, -11.53374795, 51.80318201, ..., 36.71632903,
-22.71638946, 32.90490059], shape=(68661,))},
np.float64(102.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 17.94625225, 92.17407277, 170.91896527, ..., -12.74415936,
6.75737122, 104.85145394], shape=(68661,)),
'avg_v3_A': array([-32.17041283, -10.53447421, 51.97181513, ..., 36.50193328,
-22.60228541, 33.87186096], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 17.94625225, 92.17407277, 170.91896527, ..., -12.74415936,
6.75737122, 104.85145394], shape=(68661,)),
'avg_v3_B': array([-32.17041283, -10.53447421, 51.97181513, ..., 36.50193328,
-22.60228541, 33.87186096], shape=(68661,))},
np.float64(103.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 18.53766254, 92.16498274, 172.18474979, ..., -13.464336 ,
7.16699698, 105.02528342], shape=(68661,)),
'avg_v3_A': array([-31.85736233, -9.53519422, 52.11873163, ..., 36.27521028,
-22.48105775, 34.83806204], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 18.53766254, 92.16498274, 172.18474979, ..., -13.464336 ,
7.16699698, 105.02528342], shape=(68661,)),
'avg_v3_B': array([-31.85736233, -9.53519422, 52.11873163, ..., 36.27521028,
-22.48105775, 34.83806204], shape=(68661,))},
np.float64(104.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 19.119758 , 92.15659602, 173.46064178, ..., -14.17629801,
7.57372449, 105.20769133], shape=(68661,)),
'avg_v3_A': array([-31.5346022 , -8.53590846, 52.24367244, ..., 36.03633261,
-22.35276156, 35.8034572 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 19.119758 , 92.15659602, 173.46064178, ..., -14.17629801,
7.57372449, 105.20769133], shape=(68661,)),
'avg_v3_B': array([-31.5346022 , -8.53590846, 52.24367244, ..., 36.03633261,
-22.35276156, 35.8034572 ], shape=(68661,))},
np.float64(105.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 19.69239376, 92.14890173, 174.74508153, ..., -14.87972346,
7.97740286, 105.39908836], shape=(68661,)),
'avg_v3_A': array([-31.20232084, -7.53661743, 52.34641407, ..., 35.7854791 ,
-22.21745477, 36.76799667], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 19.69239376, 92.14890173, 174.74508153, ..., -14.87972346,
7.97740286, 105.39908836], shape=(68661,)),
'avg_v3_B': array([-31.20232084, -7.53661743, 52.34641407, ..., 35.7854791 ,
-22.21745477, 36.76799667], shape=(68661,))},
np.float64(106.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 20.25543908, 92.14189009, 176.03645057, ..., -15.57431024,
8.37788453, 105.59991616], shape=(68661,)),
'avg_v3_A': array([-30.86070825, -6.53732157, 52.42677055, ..., 35.52283435,
-22.0751981 , 37.73162726], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 20.25543908, 92.14189009, 176.03645057, ..., -15.57431024,
8.37788453, 105.59991616], shape=(68661,)),
'avg_v3_B': array([-30.86070825, -6.53732157, 52.42677055, ..., 35.52283435,
-22.0751981 , 37.73162726], shape=(68661,))},
np.float64(107.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 20.80877685, 92.13555245, 177.33308201, ..., -16.25977607,
8.77502535, 105.81064998], shape=(68661,)),
'avg_v3_A': array([-30.50995569, -5.53802137, 52.484595 , ..., 35.24858819,
-21.92605498, 38.69429203], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 20.80877685, 92.13555245, 177.33308201, ..., -16.25977607,
8.77502535, 105.81064998], shape=(68661,)),
'avg_v3_B': array([-30.50995569, -5.53802137, 52.484595 , ..., 35.24858819,
-21.92605498, 38.69429203], shape=(68661,))},
np.float64(108.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 21.35230318, 92.12988127, 178.63327171, ..., -16.93585845,
9.16868468, 106.03180164], shape=(68661,)),
'avg_v3_A': array([-30.1502554 , -4.53871726, 52.51978097, ..., 34.96293518,
-21.77009145, 39.65592993], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 21.35230318, 92.12988127, 178.63327171, ..., -16.93585845,
9.16868468, 106.03180164], shape=(68661,)),
'avg_v3_B': array([-30.1502554 , -4.53871726, 52.51978097, ..., 34.96293518,
-21.77009145, 39.65592993], shape=(68661,))},
np.float64(109.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 21.88592689, 92.12487002, 179.93529008, ..., -17.60231452,
9.55872549, 106.26392283], shape=(68661,)),
'avg_v3_A': array([-29.78180029, -3.53940968, 52.53226335, ..., 34.66607406,
-21.60737606, 40.61647544], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 21.88592689, 92.12487002, 179.93529008, ..., -17.60231452,
9.55872549, 106.26392283], shape=(68661,)),
'avg_v3_B': array([-29.78180029, -3.53940968, 52.53226335, ..., 34.66607406,
-21.60737606, 40.61647544], shape=(68661,))},
np.float64(110.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 22.40956898, 92.12051324, -178.7626056 , ..., -18.25892084,
9.94501442, 106.50760869], shape=(68661,)),
'avg_v3_A': array([-29.40478362, -2.54009907, 52.522019 , ..., 34.35820731,
-21.43797983, 41.5758581 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 22.40956898, 92.12051324, -178.7626056 , ..., -18.25892084,
9.94501442, 106.50760869], shape=(68661,)),
'avg_v3_B': array([-29.40478362, -2.54009907, 52.522019 , ..., 34.35820731,
-21.43797983, 41.5758581 ], shape=(68661,))},
np.float64(111.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 22.92316214, 92.11680645, -177.46215869, ..., -18.90547304,
10.32742183, 106.76350191], shape=(68661,)),
'avg_v3_A': array([-29.01939881, -1.54078586, 52.48906691, ..., 34.03954063,
-21.26197611, 42.534002 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 22.92316214, 92.11680645, -177.46215869, ..., -18.90547304,
10.32742183, 106.76350191], shape=(68661,)),
'avg_v3_B': array([-29.01939881, -1.54078586, 52.48906691, ..., 34.03954063,
-21.26197611, 42.534002 ], shape=(68661,))},
np.float64(112.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 23.42665018, 92.1137462 , -176.1651006 , ..., -19.54178548,
10.7058219 , 107.0322972 ], shape=(68661,)),
'avg_v3_A': array([-28.62583911, -0.54147046, 52.43346807, ..., 33.71028248,
-21.07944051, 43.49082531], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 23.42665018, 92.1137462 , -176.1651006 , ..., -19.54178548,
10.7058219 , 107.0322972 ], shape=(68661,)),
'avg_v3_B': array([-28.62583911, -0.54147046, 52.43346807, ..., 33.71028248,
-21.07944051, 43.49082531], shape=(68661,))},
np.float64(113.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 23.9199875 , 92.11133001, -174.87313854, ..., -20.16769073,
11.08009262, 107.31474625], shape=(68661,)),
'avg_v3_A': array([-28.22429742, 0.4578467 , 52.35532491, ..., 33.37064359,
-20.89045081, 44.44623958], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 23.9199875 , 92.11133001, -174.87313854, ..., -20.16769073,
11.08009262, 107.31474625], shape=(68661,)),
'avg_v3_B': array([-28.22429742, 0.4578467 , 52.35532491, ..., 33.37064359,
-20.89045081, 44.44623958], shape=(68661,))},
np.float64(114.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 24.4031385 , 92.10955639, -173.58794356, ..., -20.78303916,
11.45011585, 107.61166339], shape=(68661,)),
'avg_v3_A': array([-27.81496607, 1.45716521, 52.25478037, ..., 33.02083658,
-20.69508685, 45.40014913], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 24.4031385 , 92.10955639, -173.58794356, ..., -20.78303916,
11.45011585, 107.61166339], shape=(68661,)),
'avg_v3_B': array([-27.81496607, 1.45716521, 52.25478037, ..., 33.02083658,
-20.69508685, 45.40014913], shape=(68661,))},
np.float64(115.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 24.87607705, 92.10842482, -172.31113937, ..., -21.38769826,
11.81577734, 107.92393174], shape=(68661,)),
'avg_v3_A': array([-27.39803657, 2.45648464, 52.13201664, ..., 32.66107551,
-20.49343048, 46.35245023], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 24.87607705, 92.10842482, -172.31113937, ..., -21.38769826,
11.81577734, 107.92393174], shape=(68661,)),
'avg_v3_B': array([-27.39803657, 2.45648464, 52.13201664, ..., 32.66107551,
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np.float64(116.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 25.33878592, 92.10793576, -171.04429191, ..., -21.98155212,
12.17696675, 108.2525102 ], shape=(68661,)),
'avg_v3_A': array([-26.97369949, 3.45580461, 51.98725359, ..., 32.29157545,
-20.2855654 , 47.30303025], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 25.33878592, 92.10793576, -171.04429191, ..., -21.98155212,
12.17696675, 108.2525102 ], shape=(68661,)),
'avg_v3_B': array([-26.97369949, 3.45580461, 51.98725359, ..., 32.29157545,
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np.float64(117.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 25.79125622, 92.10809065, -169.7888999 , ..., -22.56450076,
12.53357762, 108.59844125], shape=(68661,)),
'avg_v3_A': array([-26.54214425, 4.45512467, 51.82074689, ..., 31.91255217,
-20.07157715, 48.25176671], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 25.79125622, 92.10809065, -169.7888999 , ..., -22.56450076,
12.53357762, 108.59844125], shape=(68661,)),
'avg_v3_B': array([-26.54214425, 4.45512467, 51.82074689, ..., 31.91255217,
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np.float64(118.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 26.23348688, 92.10889192, -168.54638654, ..., -23.13645944,
12.88550741, 108.96285964], shape=(68661,)),
'avg_v3_A': array([-26.10355898, 5.45444443, 51.63278586, ..., 31.52422173,
-19.85155294, 49.19852614], shape=(68661,)),
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'avg_v2_B': array([ 26.23348688, 92.10889192, -168.54638654, ..., -23.13645944,
12.88550741, 108.96285964], shape=(68661,)),
'avg_v3_B': array([-26.10355898, 5.45444443, 51.63278586, ..., 31.52422173,
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np.float64(119.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 26.66548405, 92.110343 , -167.31809244, ..., -23.69735798,
13.23265745, 109.34700227], shape=(68661,)),
'avg_v3_A': array([-25.65813038, 6.45376347, 51.42369116, ..., 31.12680015,
-19.62558163, 50.14316285], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 26.66548405, 92.110343 , -167.31809244, ..., -23.69735798,
13.23265745, 109.34700227], shape=(68661,)),
'avg_v3_B': array([-25.65813038, 6.45376347, 51.42369116, ..., 31.12680015,
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np.float64(120.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 27.08726063, 92.11244833, -166.10526971, ..., -24.24714006,
13.57493294, 109.75221913], shape=(68661,)),
'avg_v3_A': array([-25.20604358, 7.45308137, 51.19381227, ..., 30.72050312,
-19.39375357, 51.08551753], shape=(68661,)),
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'avg_v2_B': array([ 27.08726063, 92.11244833, -166.10526971, ..., -24.24714006,
13.57493294, 109.75221913], shape=(68661,)),
'avg_v3_B': array([-25.20604358, 7.45308137, 51.19381227, ..., 30.72050312,
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np.float64(121.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 27.4988357 , 92.11521338, -164.90907748, ..., -24.78576244,
13.91224289, 110.17998575], shape=(68661,)),
'avg_v3_A': array([-24.74748205, 8.45239769, 50.94352483, ..., 30.30554567,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 27.4988357 , 92.11521338, -164.90907748, ..., -24.78576244,
13.91224289, 110.17998575], shape=(68661,)),
'avg_v3_B': array([-24.74748205, 8.45239769, 50.94352483, ..., 30.30554567,
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np.float64(122.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 27.90023407, 92.11864469, -163.73057863, ..., -25.3131943 ,
14.24450012, 110.63191712], shape=(68661,)),
'avg_v3_A': array([-24.2826275 , 9.45171203, 50.67322795, ..., 29.88214196,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 27.90023407, 92.11864469, -163.73057863, ..., -25.3131943 ,
14.24450012, 110.63191712], shape=(68661,)),
'avg_v3_B': array([-24.2826275 , 9.45171203, 50.67322795, ..., 29.88214196,
-18.91289581, 52.96266545], shape=(68661,))},
np.float64(123.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 28.29148572, 92.12274986, -162.57073777, ..., -25.82941644,
14.57162117, 111.10978348], shape=(68661,)),
'avg_v3_A': array([-23.81165977, 10.45102392, 50.38334141, ..., 29.45050496,
-18.6640537 , 53.89705625], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 28.29148572, 92.12274986, -162.57073777, ..., -25.82941644,
14.57162117, 111.10978348], shape=(68661,)),
'avg_v3_B': array([-23.81165977, 10.45102392, 50.38334141, ..., 29.45050496,
-18.6640537 , 53.89705625], shape=(68661,))},
np.float64(124.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 28.67262539, 92.12753762, -161.43042046, ..., -26.3344206 ,
14.8935263 , 111.61552805], shape=(68661,)),
'avg_v3_A': array([-23.33475679, 11.45033295, 50.0743029 , ..., 29.01084625,
-18.40972985, 54.82835565], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 28.67262539, 92.12753762, -161.43042046, ..., -26.3344206 ,
14.8935263 , 111.61552805], shape=(68661,)),
'avg_v3_B': array([-23.33475679, 11.45033295, 50.0743029 , ..., 29.01084625,
-18.40972985, 54.82835565], shape=(68661,))},
np.float64(125.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 29.04369205, 92.13301784, -160.3103935 , ..., -26.82820867,
15.21013938, 112.15128712], shape=(68661,)),
'avg_v3_A': array([-22.85209448, 12.44963865, 49.74656529, ..., 28.56337585,
-18.15002097, 55.75630697], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 29.04369205, 92.13301784, -160.3103935 , ..., -26.82820867,
15.21013938, 112.15128712], shape=(68661,)),
'avg_v3_B': array([-22.85209448, 12.44963865, 49.74656529, ..., 28.56337585,
-18.15002097, 55.75630697], shape=(68661,))},
np.float64(126.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 29.40472853, 92.13920158, -159.21132629, ..., -27.31079205,
15.52138785, 112.71941268], shape=(68661,)),
'avg_v3_A': array([-22.36384676, 13.44894056, 49.40059393, ..., 28.10830197,
-17.88502482, 56.6806261 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 29.40472853, 92.13920158, -159.21132629, ..., -27.31079205,
15.52138785, 112.71941268], shape=(68661,)),
'avg_v3_B': array([-22.36384676, 13.44894056, 49.40059393, ..., 28.10830197,
-17.88502482, 56.6806261 ], shape=(68661,))},
np.float64(127.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 29.75578104, 92.14610115, -158.13379297, ..., -27.7821909 ,
15.82720266, 113.32249808], shape=(68661,)),
'avg_v3_A': array([-21.87018542, 14.4482382 , 49.03686405, ..., 27.64583089,
-17.61484007, 57.60099783], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 29.75578104, 92.14610115, -158.13379297, ..., -27.7821909 ,
15.82720266, 113.32249808], shape=(68661,)),
'avg_v3_B': array([-21.87018542, 14.4482382 , 49.03686405, ..., 27.64583089,
-17.61484007, 57.60099783], shape=(68661,))},
np.float64(128.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 30.09689879, 92.15373014, -157.07827553, ..., -28.24243344,
16.12751816, 113.96340688], shape=(68661,)),
'avg_v3_A': array([-21.37128018, 15.4475311 , 48.65585835, ..., 27.17616677,
-17.33956628, 58.51707169], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 30.09689879, 92.15373014, -157.07827553, ..., -28.24243344,
16.12751816, 113.96340688], shape=(68661,)),
'avg_v3_B': array([-21.37128018, 15.4475311 , 48.65585835, ..., 27.17616677,
-17.33956628, 58.51707169], shape=(68661,))},
np.float64(129.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 30.42813357, 92.16210347, -156.04516741, ..., -28.69155532,
16.42227208, 114.64530554], shape=(68661,)),
'avg_v3_A': array([-20.8672986 , 16.44681875, 48.2580646 , ..., 26.69951156,
-17.05930382, 59.42845709], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 30.42813357, 92.16210347, -156.04516741, ..., -28.69155532,
16.42227208, 114.64530554], shape=(68661,)),
'avg_v3_B': array([-20.8672986 , 16.44681875, 48.2580646 , ..., 26.69951156,
-17.05930382, 59.42845709], shape=(68661,))},
np.float64(130.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 30.74953943, 92.1712375 , -155.03477773, ..., -29.12959896,
16.71140537, 115.37170018], shape=(68661,)),
'avg_v3_A': array([-20.35840611, 17.44610063, 47.84397346, ..., 26.21606484,
-16.77415377, 60.33471773], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 30.74953943, 92.1712375 , -155.03477773, ..., -29.12959896,
16.71140537, 115.37170018], shape=(68661,)),
'avg_v3_B': array([-20.35840611, 17.44610063, 47.84397346, ..., 26.21606484,
-16.77415377, 60.33471773], shape=(68661,))},
np.float64(131.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 31.06117226, 92.18115004, -154.04733598, ..., -29.55661288,
16.99486219, 116.14647794], shape=(68661,)),
'avg_v3_A': array([-19.84476598, 18.44537621, 47.41407648, ..., 25.72602378,
-16.4842179 , 61.23536512], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 31.06117226, 92.18115004, -154.04733598, ..., -29.55661288,
16.99486219, 116.14647794], shape=(68661,)),
'avg_v3_B': array([-19.84476598, 18.44537621, 47.41407648, ..., 25.72602378,
-16.4842179 , 61.23536512], shape=(68661,))},
np.float64(132.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 31.36308949, 92.1918605 , -153.08299691, ..., -29.97265115,
17.27258976, 116.9739533 ], shape=(68661,)),
'avg_v3_A': array([-19.32653933, 19.44464495, 46.96886421, ..., 25.22958298,
-16.18959856, 62.12985098], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 31.36308949, 92.1918605 , -153.08299691, ..., -29.97265115,
17.27258976, 116.9739533 ], shape=(68661,)),
'avg_v3_B': array([-19.32653933, 19.44464495, 46.96886421, ..., 25.22958298,
-16.18959856, 62.12985098], shape=(68661,))},
np.float64(133.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 31.65534979, 92.20338989, -152.14184572, ..., -30.37777278,
17.5445383 , 117.8589198 ], shape=(68661,)),
'avg_v3_A': array([-18.80388514, 20.44390626, 46.50882451, ..., 24.72693447,
-15.89039864, 63.01755852], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 31.65534979, 92.20338989, -152.14184572, ..., -30.37777278,
17.5445383 , 117.8589198 ], shape=(68661,)),
'avg_v3_B': array([-18.80388514, 20.44390626, 46.50882451, ..., 24.72693447,
-15.89039864, 63.01755852], shape=(68661,))},
np.float64(134.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 31.93801269, 92.215761 , -151.22390339, ..., -30.77204115,
17.81066092, 118.80670723], shape=(68661,)),
'avg_v3_A': array([-18.27696026, 21.44315954, 46.03444104, ..., 24.21826763,
-15.58672153, 63.8977922 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 31.93801269, 92.215761 , -151.22390339, ..., -30.77204115,
17.81066092, 118.80670723], shape=(68661,)),
'avg_v3_B': array([-18.27696026, 21.44315954, 46.03444104, ..., 24.21826763,
-15.58672153, 63.8977922 ], shape=(68661,))},
np.float64(135.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 32.21113839, 92.22899846, -150.32913194, ..., -31.15552351,
18.07091356, 119.82324451], shape=(68661,)),
'avg_v3_A': array([-17.74591944, 22.44240419, 45.54619189, ..., 23.70376913,
-15.27867102, 64.76976588], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 32.21113839, 92.22899846, -150.32913194, ..., -31.15552351,
18.07091356, 119.82324451], shape=(68661,)),
'avg_v3_B': array([-17.74591944, 22.44240419, 45.54619189, ..., 23.70376913,
-15.27867102, 64.76976588], shape=(68661,))},
np.float64(136.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 32.47478743, 92.24312885, -149.45743975, ..., -31.52829044,
18.32525484, 120.91512763], shape=(68661,)),
'avg_v3_A': array([-17.21091534, 23.44163955, 45.0445484 , ..., 23.18362291,
-14.96635129, 65.63258894], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 32.47478743, 92.24312885, -149.45743975, ..., -31.52829044,
18.32525484, 120.91512763], shape=(68661,)),
'avg_v3_B': array([-17.21091534, 23.44163955, 45.0445484 , ..., 23.18362291,
-14.96635129, 65.63258894], shape=(68661,))},
np.float64(137.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 32.72902043, 92.25818087, -148.60868676, ..., -31.89041537,
18.57364599, 122.08969192], shape=(68661,)),
'avg_v3_A': array([-16.67209859, 24.44086493, 44.52997412, ..., 22.65801018,
-14.64986682, 66.4852503 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 32.72902043, 92.25818087, -148.60868676, ..., -31.89041537,
18.57364599, 122.08969192], shape=(68661,)),
'avg_v3_B': array([-16.67209859, 24.44086493, 44.52997412, ..., 22.65801018,
-14.64986682, 66.4852503 ], shape=(68661,))},
np.float64(138.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 32.97389789, 92.27418543, -147.78268948, ..., -32.24197414,
18.81605074, 123.35508662], shape=(68661,)),
'avg_v3_A': array([-16.1296178 , 25.44007964, 44.00292391, ..., 22.12710939,
-14.32932237, 67.32659978], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 32.97389789, 92.27418543, -147.78268948, ..., -32.24197414,
18.81605074, 123.35508662], shape=(68661,)),
'avg_v3_B': array([-16.1296178 , 25.44007964, 44.00292391, ..., 22.12710939,
-14.32932237, 67.32659978], shape=(68661,))},
np.float64(139.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 33.20947993, 92.29117585, -146.97922586, ..., -32.58304454,
19.05243524, 124.7203486 ], shape=(68661,)),
'avg_v3_A': array([-15.58361961, 26.43928292, 43.46384322, ..., 21.59109625,
-14.00482294, 68.15532665], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 33.20947993, 92.29117585, -146.97922586, ..., -32.58304454,
19.05243524, 124.7203486 ], shape=(68661,)),
'avg_v3_B': array([-15.58361961, 26.43928292, 43.46384322, ..., 21.59109625,
-14.00482294, 68.15532665], shape=(68661,))},
np.float64(140.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 33.43582611, 92.30918801, -146.19803989, ..., -32.9137059 ,
19.28276794, 126.19546995], shape=(68661,)),
'avg_v3_A': array([-15.03424873, 27.43847398, 42.91316745, ..., 21.05014369,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 33.43582611, 92.30918801, -146.19803989, ..., -32.9137059 ,
19.28276794, 126.19546995], shape=(68661,)),
'avg_v3_B': array([-15.03424873, 27.43847398, 42.91316745, ..., 21.05014369,
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np.float64(141.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 33.6529952 , 92.32826053, -145.43884602, ..., -33.23403875,
19.5070195 , 127.79145153], shape=(68661,)),
'avg_v3_A': array([-14.48164802, 28.437652 , 42.35132147, ..., 20.50442195,
-13.34437996, 69.76871592], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 33.6529952 , 92.32826053, -145.43884602, ..., -33.23403875,
19.5070195 , 127.79145153], shape=(68661,)),
'avg_v3_B': array([-14.48164802, 28.437652 , 42.35132147, ..., 20.50442195,
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np.float64(142.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 33.86104501, 92.34843502, -144.70133324, ..., -33.54412436,
19.72516268, 129.52033034], shape=(68661,)),
'avg_v3_A': array([-13.92595847, 29.43681611, 41.77871923, ..., 19.95409855,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 33.86104501, 92.34843502, -144.70133324, ..., -33.54412436,
19.72516268, 129.52033034], shape=(68661,)),
'avg_v3_B': array([-13.92595847, 29.43681611, 41.77871923, ..., 19.95409855,
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np.float64(143.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.06003223, 92.36975624, -143.98516896, ..., -33.84404451,
19.93717226, 131.39516359], shape=(68661,)),
'avg_v3_A': array([-13.36731934, 30.43596537, 41.19576349, ..., 19.39933835,
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'avg_v2_B': array([ 34.06003223, 92.36975624, -143.98516896, ..., -33.84404451,
19.93717226, 131.39516359], shape=(68661,)),
'avg_v3_B': array([-13.36731934, 30.43596537, 41.19576349, ..., 19.39933835,
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np.float64(144.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.25001226, 92.39227245, -143.29000255, ..., -34.13388106,
20.14302491, 133.42994533], shape=(68661,)),
'avg_v3_A': array([-12.80586816, 31.43509882, 40.60284561, ..., 18.84030357,
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'avg_v2_B': array([ 34.25001226, 92.39227245, -143.29000255, ..., -34.13388106,
20.14302491, 133.42994533], shape=(68661,)),
'avg_v3_B': array([-12.80586816, 31.43509882, 40.60284561, ..., 18.84030357,
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np.float64(145.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.43103903, 92.41603561, -142.61546865, ..., -34.41371575,
20.34269915, 135.63942296], shape=(68661,)),
'avg_v3_A': array([-12.24174079, 32.4342154 , 40.00034544, ..., 18.27715386,
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'avg_v2_B': array([ 34.43103903, 92.41603561, -142.61546865, ..., -34.41371575,
20.34269915, 135.63942296], shape=(68661,)),
'avg_v3_B': array([-12.24174079, 32.4342154 , 40.00034544, ..., 18.27715386,
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np.float64(146.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.60316494, 92.44110174, -141.96119019, ..., -34.68362982,
20.53617518, 138.03877176], shape=(68661,)),
'avg_v3_A': array([-11.67507152, 33.43331402, 39.3886313 , ..., 17.71004632,
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'avg_v2_B': array([ 34.60316494, 92.44110174, -141.96119019, ..., -34.68362982,
20.53617518, 138.03877176], shape=(68661,)),
'avg_v3_B': array([-11.67507152, 33.43331402, 39.3886313 , ..., 17.71004632,
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np.float64(147.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.76644065, 92.46753123, -141.32678113, ..., -34.94370384,
20.72343488, 140.64307634], shape=(68661,)),
'avg_v3_A': array([-11.1059931 , 34.43239349, 38.76805998, ..., 17.13913557,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 34.76644065, 92.46753123, -141.32678113, ..., -34.94370384,
20.72343488, 140.64307634], shape=(68661,)),
'avg_v3_B': array([-11.1059931 , 34.43239349, 38.76805998, ..., 17.13913557,
-11.27909048, 74.09800953], shape=(68661,))},
np.float64(148.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.920915 , 92.49538929, -140.711849 , ..., -35.1940174 ,
20.90446161, 143.4665628 ], shape=(68661,)),
'avg_v3_A': array([-10.53463681, 35.43145256, 38.13897684, ..., 16.56457381,
-10.92373925, 74.71310379], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 34.920915 , 92.49538929, -140.711849 , ..., -35.1940174 ,
20.90446161, 143.4665628 ], shape=(68661,)),
'avg_v3_B': array([-10.53463681, 35.43145256, 38.13897684, ..., 16.56457381,
-10.92373925, 74.71310379], shape=(68661,))},
np.float64(149.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.0666349 , 92.52474633, -140.11599714, ..., -35.4346489 ,
21.07924023, 146.52152879], shape=(68661,)),
'avg_v3_A': array([ -9.96113255, 36.43048989, 37.50171591, ..., 15.98651087,
-10.56548739, 75.28696946], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.0666349 , 92.52474633, -140.11599714, ..., -35.4346489 ,
21.07924023, 146.52152879], shape=(68661,)),
'avg_v3_B': array([ -9.96113255, 36.43048989, 37.50171591, ..., 15.98651087,
-10.56548739, 75.28696946], shape=(68661,))},
np.float64(150.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.20364523, 92.55567843, -139.53882672, ..., -35.66567536,
21.24775691, 149.81693965], shape=(68661,)),
'avg_v3_A': array([ -9.38560887, 37.42950405, 36.85660008, ..., 15.40509429,
-10.20444015, 75.81459962], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.20364523, 92.55567843, -139.53882672, ..., -35.66567536,
21.24775691, 149.81693965], shape=(68661,)),
'avg_v3_B': array([ -9.38560887, 37.42950405, 36.85660008, ..., 15.40509429,
-10.20444015, 75.81459962], shape=(68661,))},
np.float64(151.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.33198872, 92.58826795, -138.97993857, ..., -35.8871722 ,
21.40999914, 153.35670657], shape=(68661,)),
'avg_v3_A': array([-8.80819308, 38.42849347, 36.20394133, ..., 14.82046939,
-9.84070268, 76.29065267], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.33198872, 92.58826795, -138.97993857, ..., -35.8871722 ,
21.40999914, 153.35670657], shape=(68661,)),
'avg_v3_B': array([-8.80819308, 38.42849347, 36.20394133, ..., 14.82046939,
-9.84070268, 76.29065267], shape=(68661,))},
np.float64(152.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.45170591, 92.62260404, -138.4389348 , ..., -36.09921309,
21.56595558, 157.13774565], shape=(68661,)),
'avg_v3_A': array([-8.22901128, 39.42745652, 35.54404088, ..., 14.23277933,
-9.47438001, 76.70958312], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.45170591, 92.62260404, -138.4389348 , ..., -36.09921309,
21.56595558, 157.13774565], shape=(68661,)),
'avg_v3_B': array([-8.22901128, 39.42745652, 35.54404088, ..., 14.23277933,
-9.47438001, 76.70958312], shape=(68661,))},
np.float64(153.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.56283505, 92.65878339, -137.91542019, ..., -36.30186973,
21.71561601, 161.14803485], shape=(68661,)),
'avg_v3_A': array([-7.64818846, 40.42639141, 34.87718953, ..., 13.64216517,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.56283505, 92.65878339, -137.91542019, ..., -36.30186973,
21.71561601, 161.14803485], shape=(68661,)),
'avg_v3_B': array([-7.64818846, 40.42639141, 34.87718953, ..., 13.64216517,
-9.10557701, 77.06583757], shape=(68661,))},
np.float64(154.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.66541201, 92.69691094, -137.40900349, ..., -36.49521174,
21.85897125, 165.36501715], shape=(68661,)),
'avg_v3_A': array([-7.06584858, 41.42529622, 34.20366789, ..., 13.04876599,
-8.73439841, 77.35411642], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.66541201, 92.69691094, -137.40900349, ..., -36.49521174,
21.85897125, 165.36501715], shape=(68661,)),
'avg_v3_B': array([-7.06584858, 41.42529622, 34.20366789, ..., 13.04876599,
-8.73439841, 77.35411642], shape=(68661,))},
np.float64(155.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.75947025, 92.73710078, -136.91929847, ..., -36.67930652,
21.99601307, 169.75479795], shape=(68661,)),
'avg_v3_A': array([-6.4821146 , 42.42416886, 33.52374668, ..., 12.45271892,
-8.36094879, 77.56968824], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.75947025, 92.73710078, -136.91929847, ..., -36.67930652,
21.99601307, 169.75479795], shape=(68661,)),
'avg_v3_B': array([-6.4821146 , 42.42416886, 33.52374668, ..., 12.45271892,
-8.36094879, 77.56968824], shape=(68661,))},
np.float64(156.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.84504075, 92.77947706, -136.4459249 , ..., -36.85421909,
22.12673416, 174.2725799 ], shape=(68661,)),
'avg_v3_A': array([-5.89710859, 43.42300709, 32.83768702, ..., 11.85415926,
-7.98533257, 77.70872601], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.84504075, 92.77947706, -136.4459249 , ..., -36.85421909,
22.12673416, 174.2725799 ], shape=(68661,)),
'avg_v3_B': array([-5.89710859, 43.42300709, 32.83768702, ..., 11.85415926,
-7.98533257, 77.70872601], shape=(68661,))},
np.float64(157.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.92215195, 92.82417514, -135.98850935, ..., -37.02001199,
22.25112799, 178.86461204], shape=(68661,)),
'avg_v3_A': array([-5.31095182, 44.42180846, 32.14574078, ..., 11.25322053,
-7.607654 , 77.76861897], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.92215195, 92.82417514, -135.98850935, ..., -37.02001199,
22.25112799, 178.86461204], shape=(68661,)),
'avg_v3_B': array([-5.31095182, 44.42180846, 32.14574078, ..., 11.25322053,
-7.607654 , 77.76861897], shape=(68661,))},
np.float64(158.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.99082971, 92.87134278, -135.54668587, ..., -37.17674518,
22.36918882, -176.5284043 ], shape=(68661,)),
'avg_v3_A': array([-4.72376477, 45.42057033, 31.44815084, ..., 10.65003457,
-7.22801716, 77.74820612], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.99082971, 92.87134278, -135.54668587, ..., -37.17674518,
22.36918882, -176.5284043 ], shape=(68661,)),
'avg_v3_B': array([-4.72376477, 45.42057033, 31.44815084, ..., 10.65003457,
-7.22801716, 77.74820612], shape=(68661,))},
np.float64(159.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.05109727, 92.92114159, -135.12009658, ..., -37.32447592,
22.48091159, -171.96691697], shape=(68661,)),
'avg_v3_A': array([-4.13566727, 46.4192898 , 30.74515143, ..., 10.04473161,
-6.84652595, 77.64788566], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.05109727, 92.92114159, -135.12009658, ..., -37.32447592,
22.48091159, -171.96691697], shape=(68661,)),
'avg_v3_B': array([-4.13566727, 46.4192898 , 30.74515143, ..., 10.04473161,
-6.84652595, 77.64788566], shape=(68661,))},
np.float64(160.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.10297521, 92.97374862, -134.7083922 , ..., -37.46325866,
22.58629188, -167.50791052], shape=(68661,)),
'avg_v3_A': array([-3.54677854, 47.41796373, 30.03696847, ..., 9.43744037,
-6.46328413, 77.46957709], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.10297521, 92.97374862, -134.7083922 , ..., -37.46325866,
22.58629188, -167.50791052], shape=(68661,)),
'avg_v3_B': array([-3.54677854, 47.41796373, 30.03696847, ..., 9.43744037,
-6.46328413, 77.46957709], shape=(68661,))},
np.float64(161.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.14648142, 93.02935818, -134.31123238, ..., -37.59314503,
22.68532585, -163.20092984], shape=(68661,)),
'avg_v3_A': array([-2.9572173 , 48.41658866, 29.32381984, ..., 8.82828812,
-6.07839526, 77.21654408], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.14648142, 93.02935818, -134.31123238, ..., -37.59314503,
22.68532585, -163.20092984], shape=(68661,)),
'avg_v3_B': array([-2.9572173 , 48.41658866, 29.32381984, ..., 8.82828812,
-6.07839526, 77.21654408], shape=(68661,))},
np.float64(162.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.18163108, 93.08818401, -133.92828608, ..., -37.71418367,
22.77801017, -159.08538152], shape=(68661,)),
'avg_v3_A': array([-2.36710178, 49.4151608 , 28.60591577, ..., 8.21740081,
-5.69196275, 76.89311462], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.18163108, 93.08818401, -133.92828608, ..., -37.71418367,
22.77801017, -159.08538152], shape=(68661,)),
'avg_v3_B': array([-2.36710178, 49.4151608 , 28.60591577, ..., 8.21740081,
-5.69196275, 76.89311462], shape=(68661,))},
np.float64(163.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.20843664, 93.15046166, -133.55923179, ..., -37.82642026,
22.864342 , -155.18937062], shape=(68661,)),
'avg_v3_A': array([-1.77654987, 50.41367601, 27.88345906, ..., 7.6049031 ,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.20843664, 93.15046166, -133.55923179, ..., -37.82642026,
22.864342 , -155.18937062], shape=(68661,)),
'avg_v3_B': array([-1.77654987, 50.41367601, 27.88345906, ..., 7.6049031 ,
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np.float64(164.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.22690779, 93.21645129, -133.20375773, ..., -37.92989735,
22.94431891, -151.5299436 ], shape=(68661,)),
'avg_v3_A': array([-1.18567916, 51.41212968, 27.15664546, ..., 6.99091849,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.22690779, 93.21645129, -133.20375773, ..., -37.92989735,
22.94431891, -151.5299436 ], shape=(68661,)),
'avg_v3_B': array([-1.18567916, 51.41212968, 27.15664546, ..., 6.99091849,
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np.float64(165.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.23705145, 93.28644099, -132.86156198, ..., -38.02465442,
23.01793887, -148.11435308], shape=(68661,)),
'avg_v3_A': array([-0.59460702, 52.41051677, 26.42566394, ..., 6.37556937,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.23705145, 93.28644099, -132.86156198, ..., -38.02465442,
23.01793887, -148.11435308], shape=(68661,)),
'avg_v3_B': array([-0.59460702, 52.41051677, 26.42566394, ..., 6.37556937,
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np.float64(166.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.23887177, 93.36075049, -132.53235261, ..., -38.11072771,
23.08520018, -144.94188176], shape=(68661,)),
'avg_v3_A': array([-3.45067124e-03, 5.34088317e+01, 2.56906970e+01, ...,
5.75897716e+00, -4.13285907e+00, 7.50010335e+01], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.23887177, 93.36075049, -132.53235261, ..., -38.11072771,
23.08520018, -144.94188176], shape=(68661,)),
'avg_v3_B': array([-3.45067124e-03, 5.34088317e+01, 2.56906970e+01, ...,
5.75897716e+00, -4.13285907e+00, 7.50010335e+01], shape=(68661,))},
np.float64(167.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.23237013, 93.43973562, -132.21584765, ..., -38.1881503 ,
23.14610144, -142.0058198 ], shape=(68661,)),
'avg_v3_A': array([ 0.58767273, 54.40706813, 24.95192089, ..., 5.14126233,
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'avg_v2_B': array([ 36.23237013, 93.43973562, -132.21584765, ..., -38.1881503 ,
23.14610144, -142.0058198 ], shape=(68661,)),
'avg_v3_B': array([ 0.58767273, 54.40706813, 24.95192089, ..., 5.14126233,
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np.float64(168.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.21754512, 93.5237935 , -131.91177518, ..., -38.25695196,
23.20064153, -139.29531343], shape=(68661,)),
'avg_v3_A': array([ 1.17864601, 55.40521921, 24.20950605, ..., 4.52254455,
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'avg_v2_B': array([ 36.21754512, 93.5237935 , -131.91177518, ..., -38.25695196,
23.20064153, -139.29531343], shape=(68661,)),
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np.float64(169.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.19439254, 93.61336861, -131.61987329, ..., -38.31715918,
23.24881957, -136.79693165], shape=(68661,)),
'avg_v3_A': array([ 1.76935191, 56.40327715, 23.46361721, ..., 3.90294273,
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'avg_v2_B': array([ 36.19439254, 93.61336861, -131.61987329, ..., -38.31715918,
23.24881957, -136.79693165], shape=(68661,)),
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np.float64(170.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 36.16290546, 93.70896006, -131.33989001, ..., -38.36879514,
23.29063487, -134.49589881], shape=(68661,)),
'avg_v3_A': array([ 2.35967301, 57.40123325, 22.71441376, ..., 3.28257513,
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'avg_v2_B': array([ 36.16290546, 93.70896006, -131.33989001, ..., -38.36879514,
23.29063487, -134.49589881], shape=(68661,)),
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np.float64(171.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.32608696, -132.37700527], shape=(68661,)),
'avg_v3_A': array([ 2.94949165, 58.39907769, 21.96204997, ..., 2.66155946,
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23.32608696, -132.37700527], shape=(68661,)),
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np.float64(172.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.35517549, -130.42524161], shape=(68661,)),
'avg_v3_A': array([ 3.53868985, 59.39679941, 21.20667526, ..., 2.04001293,
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'avg_v2_B': array([ 36.07488618, 93.92051449, -130.81472084, ..., -38.44642909,
23.35517549, -130.42524161], shape=(68661,)),
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np.float64(173.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(175.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(176.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(177.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(178.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(179.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.38061603, -120.3519988 ], shape=(68661,)),
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np.float64(180.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(181.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(182.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(183.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(184.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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2.99239393, 60.7787786 ], shape=(68661,)),
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2.99239393, 60.7787786 ], shape=(68661,))},
np.float64(185.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(186.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(187.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(188.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(189.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(190.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(191.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.69926341, -111.3562644 ], shape=(68661,)),
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22.69926341, -111.3562644 ], shape=(68661,)),
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np.float64(192.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(193.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(194.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(197.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(199.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(200.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(201.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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21.43429039, -107.4601868 ], shape=(68661,)),
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21.43429039, -107.4601868 ], shape=(68661,)),
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9.49063979, 44.9159778 ], shape=(68661,))},
np.float64(202.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(203.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_A': array([ 20.81382214, 87.97269968, -3.04536036, ..., -16.84525988,
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'avg_v3_B': array([ 20.81382214, 87.97269968, -3.04536036, ..., -16.84525988,
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np.float64(204.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_A': array([ 21.31518222, 87.54739815, -3.83663244, ..., -17.4201554 ,
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'avg_v3_B': array([ 21.31518222, 87.54739815, -3.83663244, ..., -17.4201554 ,
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np.float64(205.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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20.75224802, -106.38353864], shape=(68661,)),
'avg_v3_A': array([ 21.81139039, 86.85046289, -4.62744095, ..., -17.9914073 ,
10.93075587, 41.08886329], shape=(68661,)),
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'avg_v3_B': array([ 21.81139039, 86.85046289, -4.62744095, ..., -17.9914073 ,
10.93075587, 41.08886329], shape=(68661,))},
np.float64(206.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_A': array([ 22.30227894, 86.02219437, -5.41769406, ..., -18.55886281,
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'avg_v3_B': array([ 22.30227894, 86.02219437, -5.41769406, ..., -18.55886281,
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np.float64(207.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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20.37386664, -105.91932259], shape=(68661,)),
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11.63331497, 39.16777235], shape=(68661,)),
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20.37386664, -105.91932259], shape=(68661,)),
'avg_v3_B': array([ 22.7876781 , 85.12913564, -6.20729917, ..., -19.12236673,
11.63331497, 39.16777235], shape=(68661,))},
np.float64(208.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(209.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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19.97075898, -105.49788492], shape=(68661,)),
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12.32308699, 37.24244259], shape=(68661,)),
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np.float64(210.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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19.75998376, -105.30190301], shape=(68661,)),
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19.75998376, -105.30190301], shape=(68661,)),
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12.66291483, 36.27834363], shape=(68661,))},
np.float64(211.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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19.54309159, -105.11512358], shape=(68661,)),
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12.99923029, 35.31336323], shape=(68661,)),
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19.54309159, -105.11512358], shape=(68661,)),
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12.99923029, 35.31336323], shape=(68661,))},
np.float64(212.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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19.32010774, -104.93712103], shape=(68661,)),
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19.32010774, -104.93712103], shape=(68661,)),
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np.float64(213.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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13.6609035 , 33.38096056], shape=(68661,)),
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19.09105948, -104.76749941], shape=(68661,)),
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np.float64(214.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(215.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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18.61488918, -104.45194994], shape=(68661,)),
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14.30726649, 31.44560824], shape=(68661,)),
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18.61488918, -104.45194994], shape=(68661,)),
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np.float64(216.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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14.62444471, 30.47693045], shape=(68661,)),
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np.float64(217.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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14.93748147, 29.50763574], shape=(68661,)),
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np.float64(218.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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15.24627261, 28.53775953], shape=(68661,)),
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np.float64(219.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(220.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(221.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(222.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(223.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(308.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_A': array([-15.78159467, -80.19357527, -4.70529799, ..., 10.70974761,
-6.74680743, -52.3909204 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -33.12645059, -103.31494096, 127.7677876 , ..., 37.16050588,
-22.51013818, 110.73263831], shape=(68661,)),
'avg_v3_B': array([-15.78159467, -80.19357527, -4.70529799, ..., 10.70974761,
-6.74680743, -52.3909204 ], shape=(68661,))},
np.float64(14.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -32.88751173, -104.79700482, 127.71926401, ..., 37.00287984,
-22.40006801, 110.28306299], shape=(68661,)),
'avg_v3_A': array([-16.32633683, -81.16371599, -3.91454009, ..., 11.31271729,
-7.12876488, -51.45429241], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -32.88751173, -104.79700482, 127.71926401, ..., 37.00287984,
-22.40006801, 110.28306299], shape=(68661,)),
'avg_v3_B': array([-16.32633683, -81.16371599, -3.91454009, ..., 11.31271729,
-7.12876488, -51.45429241], shape=(68661,))},
np.float64(15.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -32.63925576, -106.6443481 , 127.6792687 , ..., 36.83618829,
-22.28365856, 109.85710487], shape=(68661,)),
'avg_v3_A': array([-16.86750875, -82.1264363 , -3.1233096 , ..., 11.91342678,
-7.50889502, -50.51501582], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -32.63925576, -106.6443481 , 127.6792687 , ..., 36.83618829,
-22.28365856, 109.85710487], shape=(68661,)),
'avg_v3_B': array([-16.86750875, -82.1264363 , -3.1233096 , ..., 11.91342678,
-7.50889502, -50.51501582], shape=(68661,))},
np.float64(16.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -32.3816224 , -109.00455389, 127.64776932, ..., 36.660371 ,
-22.16091474, 109.45321047], shape=(68661,)),
'avg_v3_A': array([-17.40496308, -83.07863899, -2.33169775, ..., 12.51174407,
-7.88709399, -49.57327938], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -32.3816224 , -109.00455389, 127.64776932, ..., 36.660371 ,
-22.16091474, 109.45321047], shape=(68661,)),
'avg_v3_B': array([-17.40496308, -83.07863899, -2.33169775, ..., 12.51174407,
-7.88709399, -49.57327938], shape=(68661,))},
np.float64(17.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -32.11455106, -112.11203144, 127.6247407 , ..., 36.47536519,
-22.03184209, 109.0699584 ], shape=(68661,)),
'avg_v3_A': array([-17.93855049, -84.01530156, -1.53979526, ..., 13.10753549,
-8.26325774, -48.62925528], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -32.11455106, -112.11203144, 127.6247407 , ..., 36.47536519,
-22.03184209, 109.0699584 ], shape=(68661,)),
'avg_v3_B': array([-17.93855049, -84.01530156, -1.53979526, ..., 13.10753549,
-8.26325774, -48.62925528], shape=(68661,))},
np.float64(18.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -31.83798113, -116.35617245, 127.6101648 , ..., 36.28110558,
-21.89644693, 108.70604636], shape=(68661,)),
'avg_v3_A': array([-18.46811962, -84.9278074 , -0.74769242, ..., 13.70066554,
-8.63728208, -47.6831009 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -31.83798113, -116.35617245, 127.6101648 , ..., 36.28110558,
-21.89644693, 108.70604636], shape=(68661,)),
'avg_v3_B': array([-18.46811962, -84.9278074 , -0.74769242, ..., 13.70066554,
-8.63728208, -47.6831009 ], shape=(68661,))},
np.float64(19.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -31.55185216, -122.41235076, 127.60403071, ..., 36.07752457,
-21.75473636, 108.36027954], shape=(68661,)),
'avg_v3_A': array([-1.89935170e+01, -8.58003802e+01, 4.45207048e-02, ...,
1.42909969e+01, -9.00906263e+00, -4.67349603e+01], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -31.55185216, -122.41235076, 127.60403071, ..., 36.07752457,
-21.75473636, 108.36027954], shape=(68661,)),
'avg_v3_B': array([-1.89935170e+01, -8.58003802e+01, 4.45207048e-02, ...,
1.42909969e+01, -9.00906263e+00, -4.67349603e+01], shape=(68661,))},
np.float64(20.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -31.25610417, -131.4763049 , 127.60633463, ..., 35.86455231,
-21.60671837, 108.03156036], shape=(68661,)),
'avg_v3_A': array([-19.51458726, -86.6021153 , 0.83675423, ..., 14.87839035,
-9.37849485, -45.78496573], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -31.25610417, -131.4763049 , 127.60633463, ..., 35.86455231,
-21.60671837, 108.03156036], shape=(68661,)),
'avg_v3_B': array([-19.51458726, -86.6021153 , 0.83675423, ..., 14.87839035,
-9.37849485, -45.78496573], shape=(68661,))},
np.float64(21.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -30.95067789, -145.50350037, 127.61707988, ..., 35.6421169 ,
-21.45240188, 107.71887926], shape=(68661,)),
'avg_v3_A': array([-20.03117266, -87.26987579, 1.62891827, ..., 15.46270455,
-9.74547406, -44.83323856], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -30.95067789, -145.50350037, 127.61707988, ..., 35.6421169 ,
-21.45240188, 107.71887926], shape=(68661,)),
'avg_v3_B': array([-20.03117266, -87.26987579, 1.62891827, ..., 15.46270455,
-9.74547406, -44.83323856], shape=(68661,))},
np.float64(22.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -30.63551509, -166.34347662, 127.63627687, ..., 35.41014449,
-21.29179684, 107.42130649], shape=(68661,)),
'avg_v3_A': array([-20.54311347, -87.68468685, 2.42092282, ..., 16.04379617,
-10.1098954 , -43.87989063], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -30.63551509, -166.34347662, 127.63627687, ..., 35.41014449,
-21.29179684, 107.42130649], shape=(68661,)),
'avg_v3_B': array([-20.54311347, -87.68468685, 2.42092282, ..., 16.04379617,
-10.1098954 , -43.87989063], shape=(68661,))},
np.float64(23.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-30.31055883, 168.61747534, 127.66394318, ..., 35.1685595 ,
-21.12491427, 107.13798478], shape=(68661,)),
'avg_v3_A': array([-21.05024782, -87.70502405, 3.21267764, ..., 16.62151967,
-10.47165391, -42.925025 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-30.31055883, 168.61747534, 127.66394318, ..., 35.1685595 ,
-21.12491427, 107.13798478], shape=(68661,)),
'avg_v3_B': array([-21.05024782, -87.70502405, 3.21267764, ..., 16.62151967,
-10.47165391, -42.925025 ], shape=(68661,))},
np.float64(24.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-29.97575386, 147.15526169, 127.7001035 , ..., 34.91728476,
-20.9517664 , 106.86812282], shape=(68661,)),
'avg_v3_A': array([-21.55241164, -87.32188277, 4.00409213, ..., 17.19572729,
-10.83064445, -41.96873686], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-29.97575386, 147.15526169, 127.7001035 , ..., 34.91728476,
-20.9517664 , 106.86812282], shape=(68661,)),
'avg_v3_B': array([-21.55241164, -87.32188277, 4.00409213, ..., 17.19572729,
-10.83064445, -41.96873686], shape=(68661,))},
np.float64(25.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-29.63104691, 132.54345677, 127.74478973, ..., 34.65624174,
-20.77236667, 106.61098933], shape=(68661,)),
'avg_v3_A': array([-22.04943873, -86.67180734, 4.79507518, ..., 17.76626896,
-11.1867618 , -41.01111427], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-29.63104691, 132.54345677, 127.74478973, ..., 34.65624174,
-20.77236667, 106.61098933], shape=(68661,)),
'avg_v3_B': array([-22.04943873, -86.67180734, 4.79507518, ..., 17.76626896,
-11.1867618 , -41.01111427], shape=(68661,))},
np.float64(26.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-29.27638708, 123.10907113, 127.79804098, ..., 34.38535075,
-20.58672991, 106.36590781], shape=(68661,)),
'avg_v3_A': array([-22.54116075, -85.87925116, 5.58553506, ..., 18.33299224,
-11.53990062, -40.05223881], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-29.27638708, 123.10907113, 127.79804098, ..., 34.38535075,
-20.58672991, 106.36590781], shape=(68661,)),
'avg_v3_B': array([-22.54116075, -85.87925116, 5.58553506, ..., 18.33299224,
-11.53990062, -40.05223881], shape=(68661,))},
np.float64(27.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-28.91172619, 116.83215947, 127.85990362, ..., 34.10453114,
-20.39487232, 106.1322518 ], shape=(68661,)),
'avg_v3_A': array([-23.02740723, -85.01167136, 6.37537928, ..., 18.89574228,
-11.8899555 , -39.09218619], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-28.91172619, 116.83215947, 127.85990362, ..., 34.10453114,
-20.39487232, 106.1322518 ], shape=(68661,)),
'avg_v3_B': array([-23.02740723, -85.01167136, 6.37537928, ..., 18.89574228,
-11.8899555 , -39.09218619], shape=(68661,))},
np.float64(28.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-28.53701921, 112.45274977, 127.93043135, ..., 33.8137016 ,
-20.19681165, 105.90944062], shape=(68661,)),
'avg_v3_A': array([-23.5080056 , -84.10208344, 7.16451444, ..., 19.45436172,
-12.23682095, -38.13102676], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-28.53701921, 112.45274977, 127.93043135, ..., 33.8137016 ,
-20.19681165, 105.90944062], shape=(68661,)),
'avg_v3_B': array([-23.5080056 , -84.10208344, 7.16451444, ..., 19.45436172,
-12.23682095, -38.13102676], shape=(68661,))},
np.float64(29.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-28.15222465, 109.25843079, 128.00968526, ..., 33.51278038,
-19.99256725, 105.69693554], shape=(68661,)),
'avg_v3_A': array([-23.98278122, -83.16724348, 7.95284614, ..., 20.00869067,
-12.58039143, -37.16882601], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-28.15222465, 109.25843079, 128.00968526, ..., 33.51278038,
-19.99256725, 105.69693554], shape=(68661,)),
'avg_v3_B': array([-23.98278122, -83.16724348, 7.95284614, ..., 20.00869067,
-12.58039143, -37.16882601], shape=(68661,))},
np.float64(30.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-27.75730503, 106.83987432, 128.09773387, ..., 33.2016856 ,
-19.78216016, 105.49423629], shape=(68661,)),
'avg_v3_A': array([-24.45155743, -82.21624466, 8.7402788 , ..., 20.55856664,
-12.92056139, -36.20564498], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-27.75730503, 106.83987432, 128.09773387, ..., 33.2016856 ,
-19.78216016, 105.49423629], shape=(68661,)),
'avg_v3_B': array([-24.45155743, -82.21624466, 8.7402788 , ..., 20.55856664,
-12.92056139, -36.20564498], shape=(68661,))},
np.float64(31.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-27.35222728, 104.95172163, 128.19465326, ..., 32.88033553,
-19.56561321, 105.30087797], shape=(68661,)),
'avg_v3_A': array([-24.91415559, -81.25435679, 9.52671554, ..., 21.10382451,
-13.25722529, -35.24154065], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-27.35222728, 104.95172163, 128.19465326, ..., 32.88033553,
-19.56561321, 105.30087797], shape=(68661,)),
'avg_v3_B': array([-24.91415559, -81.25435679, 9.52671554, ..., 21.10382451,
-13.25722529, -35.24154065], shape=(68661,))},
np.float64(32.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-26.93696321, 103.44012449, 128.30052712, ..., 32.54864894,
-19.34295112, 105.11642822], shape=(68661,)),
'avg_v3_A': array([-25.37039519, -80.28481375, 10.31205801, ..., 21.6442965 ,
-13.59027762, -34.27656628], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-26.93696321, 103.44012449, 128.30052712, ..., 32.54864894,
-19.34295112, 105.11642822], shape=(68661,)),
'avg_v3_B': array([-25.37039519, -80.28481375, 10.31205801, ..., 21.6442965 ,
-13.59027762, -34.27656628], shape=(68661,))},
np.float64(33.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-26.51149006, 102.20454179, 128.41544684, ..., 32.20654542,
-19.11420058, 104.94048461], shape=(68661,)),
'avg_v3_A': array([-25.82009388, -79.30969824, 11.09620631, ..., 22.1798121 ,
-13.91961292, -33.31077176], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-26.51149006, 102.20454179, 128.41544684, ..., 32.20654542,
-19.11420058, 104.94048461], shape=(68661,)),
'avg_v3_B': array([-25.82009388, -79.30969824, 11.09620631, ..., 22.1798121 ,
-13.91961292, -33.31077176], shape=(68661,))},
np.float64(34.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-26.07579091, 101.17683663, 128.53951162, ..., 31.85394577,
-18.8793904 , 104.77267242], shape=(68661,)),
'avg_v3_A': array([-26.26306755, -78.33040717, 11.87905875, ..., 22.7101981 ,
-14.24512584, -32.34420384], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-26.07579091, 101.17683663, 128.53951162, ..., 31.85394577,
-18.8793904 , 104.77267242], shape=(68661,)),
'avg_v3_B': array([-26.26306755, -78.33040717, 11.87905875, ..., 22.7101981 ,
-14.24512584, -32.34420384], shape=(68661,))},
np.float64(35.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-25.62985524, 100.30935249, 128.6728286 , ..., 31.49077237,
-18.63855152, 104.61264245], shape=(68661,)),
'avg_v3_A': array([-26.69913051, -77.34791018, 12.66051179, ..., 23.23527852,
-14.56671118, -31.37690642], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-25.62985524, 100.30935249, 128.6728286 , ..., 31.49077237,
-18.63855152, 104.61264245], shape=(68661,)),
'avg_v3_B': array([-26.69913051, -77.34791018, 12.66051179, ..., 23.23527852,
-14.56671118, -31.37690642], shape=(68661,))},
np.float64(36.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-25.17367946, 99.5678333 , 128.81551293, ..., 31.11694959,
-18.39171719, 104.46006915], shape=(68661,)),
'avg_v3_A': array([-27.12809552, -76.36290025, 13.44045979, ..., 23.75487465,
-14.88426388, -30.40892079], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-25.17367946, 99.5678333 , 128.81551293, ..., 31.11694959,
-18.39171719, 104.46006915], shape=(68661,)),
'avg_v3_B': array([-27.12809552, -76.36290025, 13.44045979, ..., 23.75487465,
-14.88426388, -30.40892079], shape=(68661,))},
np.float64(37.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-24.7072674 , 98.92706279, 128.9676879 , ..., 30.73240428,
-18.13892305, 104.31464888], shape=(68661,)),
'avg_v3_A': array([-27.54977396, -75.37588524, 14.21879494, ..., 24.26880501,
-15.19767912, -29.4402858 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-24.7072674 , 98.92706279, 128.9676879 , ..., 30.73240428,
-18.13892305, 104.31464888], shape=(68661,)),
'avg_v3_B': array([-27.54977396, -75.37588524, 14.21879494, ..., 24.26880501,
-15.19767912, -29.4402858 ], shape=(68661,))},
np.float64(38.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-24.2306309 , 98.36808911, 129.12948508, ..., 30.33706614,
-17.8802072 , 104.17609836], shape=(68661,)),
'avg_v3_A': array([-27.96397599, -74.38724552, 14.99540701, ..., 24.77688538,
-15.50685235, -28.47103811], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-24.2306309 , 98.36808911, 129.12948508, ..., 30.33706614,
-17.8802072 , 104.17609836], shape=(68661,)),
'avg_v3_B': array([-27.96397599, -74.38724552, 14.99540701, ..., 24.77688538,
-15.50685235, -28.47103811], shape=(68661,))},
np.float64(39.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-23.74379036, 97.87640572, 129.30104443, ..., 29.93086831,
-17.61561032, 104.04415317], shape=(68661,)),
'avg_v3_A': array([-28.37051068, -73.39727141, 15.77018326, ..., 25.27892881,
-15.81167929, -27.50121233], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-23.74379036, 97.87640572, 129.30104443, ..., 29.93086831,
-17.61561032, 104.04415317], shape=(68661,)),
'avg_v3_B': array([-28.37051068, -73.39727141, 15.77018326, ..., 25.27892881,
-15.81167929, -27.50121233], shape=(68661,))},
np.float64(40.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-23.24677526, 97.44072763, 129.48251446, ..., 29.51374781,
-17.34517578, 103.91856649], shape=(68661,)),
'avg_v3_A': array([-28.76918618, -72.40618825, 16.54300819, ..., 25.77474567,
-16.11205605, -26.53084118], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-23.24677526, 97.44072763, 129.48251446, ..., 29.51374781,
-17.34517578, 103.91856649], shape=(68661,)),
'avg_v3_B': array([-28.76918618, -72.40618825, 16.54300819, ..., 25.77474567,
-16.11205605, -26.53084118], shape=(68661,))},
np.float64(41.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-22.73962475, 97.05214873, 129.67405232, ..., 29.08564608,
-17.06894972, 103.79910791], shape=(68661,)),
'avg_v3_A': array([-29.15980995, -71.41417355, 17.3137634 , ..., 26.26414368,
-16.40787913, -25.55995565], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-22.73962475, 97.05214873, 129.67405232, ..., 29.08564608,
-17.06894972, 103.79910791], shape=(68661,)),
'avg_v3_B': array([-29.15980995, -71.41417355, 17.3137634 , ..., 26.26414368,
-16.40787913, -25.55995565], shape=(68661,))},
np.float64(42.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-22.22238821, 96.70354918, 129.87582396, ..., 28.64650958,
-16.78698115, 103.68556229], shape=(68661,)),
'avg_v3_A': array([-29.54218894, -70.42136901, 18.0823274 , ..., 26.74692796,
-16.69904552, -24.58858513], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-22.22238821, 96.70354918, 129.87582396, ..., 28.64650958,
-16.78698115, 103.68556229], shape=(68661,)),
'avg_v3_B': array([-29.54218894, -70.42136901, 18.0823274 , ..., 26.74692796,
-16.69904552, -24.58858513], shape=(68661,))},
np.float64(43.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-21.69512579, 96.38917082, 130.08800429, ..., 28.19629037,
-16.49932205, 103.57772882], shape=(68661,)),
'avg_v3_A': array([-29.91612979, -69.42788908, 18.84857542, ..., 27.22290112,
-16.9854527 , -23.61675754], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-21.69512579, 96.38917082, 130.08800429, ..., 28.19629037,
-16.49932205, 103.57772882], shape=(68661,)),
'avg_v3_B': array([-29.91612979, -69.42788908, 18.84857542, ..., 27.22290112,
-16.9854527 , -23.61675754], shape=(68661,))},
np.float64(44.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-21.15790896, 96.1043078 , 130.31077727, ..., 27.73494665,
-16.20602748, 103.47542007], shape=(68661,)),
'avg_v3_A': array([-30.28143912, -68.43382719, 19.61237918, ..., 27.69186334,
-17.26699876, -22.64449943], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-21.15790896, 96.1043078 , 130.31077727, ..., 27.73494665,
-16.20602748, 103.47542007], shape=(68661,)),
'avg_v3_B': array([-30.28143912, -68.43382719, 19.61237918, ..., 27.69186334,
-17.26699876, -22.64449943], shape=(68661,))},
np.float64(45.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-20.61082108, 95.8450775 , 130.54433608, ..., 27.26244351,
-15.90715562, 103.37846119], shape=(68661,)),
'avg_v3_A': array([-30.63792377, -67.43926035, 20.37360671, ..., 28.15361243,
-17.54358242, -21.6718361 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-20.61082108, 95.8450775 , 130.54433608, ..., 27.26244351,
-15.90715562, 103.37846119], shape=(68661,)),
'avg_v3_B': array([-30.63792377, -67.43926035, 20.37360671, ..., 28.15361243,
-17.54358242, -21.6718361 ], shape=(68661,))},
np.float64(46.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-20.05395785, 95.60824867, 130.78888325, ..., 26.77875347,
-15.60276791, 103.28668911], shape=(68661,)),
'avg_v3_A': array([-30.98539103, -66.44425264, 21.13212215, ..., 28.60794402,
-17.81510313, -20.69879168], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-20.05395785, 95.60824867, 130.78888325, ..., 26.77875347,
-15.60276791, 103.28668911], shape=(68661,)),
'avg_v3_B': array([-30.98539103, -66.44425264, 21.13212215, ..., 28.60794402,
-17.81510313, -20.69879168], shape=(68661,))},
np.float64(47.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-19.48742791, 95.3911108 , 131.04463078, ..., 26.2838572 ,
-15.2929291 , 103.19995188], shape=(68661,)),
'avg_v3_A': array([-31.32364899, -65.44885775, 21.88778548, ..., 29.05465164,
-18.08146111, -19.72538926], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-19.48742791, 95.3911108 , 131.04463078, ..., 26.2838572 ,
-15.2929291 , 103.19995188], shape=(68661,)),
'avg_v3_B': array([-31.32364899, -65.44885775, 21.88778548, ..., 29.05465164,
-18.08146111, -19.72538926], shape=(68661,))},
np.float64(48.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-18.91135324, 95.19137354, 131.31180025, ..., 25.77774424,
-14.97770736, 103.11810802], shape=(68661,)),
'avg_v3_A': array([-31.65250679, -64.45312104, 22.64045236, ..., 29.49352689,
-18.34255744, -18.75165089], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-18.91135324, 95.19137354, 131.31180025, ..., 25.77774424,
-14.97770736, 103.11810802], shape=(68661,)),
'avg_v3_B': array([-31.65250679, -64.45312104, 22.64045236, ..., 29.49352689,
-18.34255744, -18.75165089], shape=(68661,))},
np.float64(49.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-18.32586965, 95.00708864, 131.59062296, ..., 25.26041364,
-14.65717431, 103.04102594], shape=(68661,)),
'avg_v3_A': array([-31.97177499, -63.45708108, 23.38997383, ..., 29.92435959,
-18.59829412, -17.77759776], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-18.32586965, 95.00708864, 131.59062296, ..., 25.26041364,
-14.65717431, 103.04102594], shape=(68661,)),
'avg_v3_B': array([-31.97177499, -63.45708108, 23.38997383, ..., 29.92435959,
-18.59829412, -17.77759776], shape=(68661,))},
np.float64(50.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-17.73112719, 94.83658851, 131.88134001, ..., 24.73187473,
-14.33140516, 102.96858341], shape=(68661,)),
'avg_v3_A': array([-32.28126586, -62.46077088, 24.1361961 , ..., 30.34693801,
-18.84857418, -16.80325019], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-17.73112719, 94.83658851, 131.88134001, ..., 24.73187473,
-14.33140516, 102.96858341], shape=(68661,)),
'avg_v3_B': array([-32.28126586, -62.46077088, 24.1361961 , ..., 30.34693801,
-18.84857418, -16.80325019], shape=(68661,))},
np.float64(51.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-17.12729054, 94.67843761, 132.18420236, ..., 24.1921478 ,
-14.00047869, 102.90066706], shape=(68661,)),
'avg_v3_A': array([-32.58079375, -61.46421885, 24.8789603 , ..., 30.76104904,
-19.09330169, -15.82862775], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-17.12729054, 94.67843761, 132.18420236, ..., 24.1921478 ,
-14.00047869, 102.90066706], shape=(68661,)),
'avg_v3_B': array([-32.58079375, -61.46421885, 24.8789603 , ..., 30.76104904,
-19.09330169, -15.82862775], shape=(68661,))},
np.float64(52.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-16.51453934, 94.53139356, 132.49947097, ..., 23.6412649 ,
-13.66447739, 102.83717195], shape=(68661,)),
'avg_v3_A': array([-32.87017543, -60.46744956, 25.61810223, ..., 31.16647844,
-19.33238193, -14.85374927], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-16.51453934, 94.53139356, 132.49947097, ..., 23.6412649 ,
-13.66447739, 102.83717195], shape=(68661,)),
'avg_v3_B': array([-32.87017543, -60.46744956, 25.61810223, ..., 31.16647844,
-19.33238193, -14.85374927], shape=(68661,))},
np.float64(53.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-15.89306848, 94.3943758 , 132.82741678, ..., 23.0792705 ,
-13.32348747, 102.77800116], shape=(68661,)),
'avg_v3_A': array([-33.14923051, -59.47048441, 26.35345206, ..., 31.5630111 ,
-19.56572138, -13.87863296], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-15.89306848, 94.3943758 , 132.82741678, ..., 23.0792705 ,
-13.32348747, 102.77800116], shape=(68661,)),
'avg_v3_B': array([-33.14923051, -59.47048441, 26.35345206, ..., 31.5630111 ,
-19.56572138, -13.87863296], shape=(68661,))},
np.float64(54.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-15.26308834, 94.26644017, 133.16832073, ..., 22.50622227,
-12.97759891, 102.72306545], shape=(68661,)),
'avg_v3_A': array([-33.41778177, -58.47334209, 27.08483408, ..., 31.95043128,
-19.79322788, -12.9032964 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-15.26308834, 94.26644017, 133.16832073, ..., 22.50622227,
-12.97759891, 102.72306545], shape=(68661,)),
'avg_v3_B': array([-33.41778177, -58.47334209, 27.08483408, ..., 31.95043128,
-19.79322788, -12.9032964 ], shape=(68661,))},
np.float64(55.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-14.62482498, 94.14675812, 133.52247381, ..., 21.9221918 ,
-12.62690553, 102.67228287], shape=(68661,)),
'avg_v3_A': array([-33.67565558, -57.47603899, 27.81206644, ..., 32.32852293,
-20.01481068, -11.92775667], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-14.62482498, 94.14675812, 133.52247381, ..., 21.9221918 ,
-12.62690553, 102.67228287], shape=(68661,)),
'avg_v3_B': array([-33.67565558, -57.47603899, 27.81206644, ..., 32.32852293,
-20.01481068, -11.92775667], shape=(68661,))},
np.float64(56.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-13.97852024, 94.0345996 , 133.89017693, ..., 21.32726529,
-12.27150498, 102.62557851], shape=(68661,)),
'avg_v3_A': array([-33.92268228, -56.47858958, 28.53496082, ..., 32.69707002,
-20.23038053, -10.9520303 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-13.97852024, 94.0345996 , 133.89017693, ..., 21.32726529,
-12.27150498, 102.62557851], shape=(68661,)),
'avg_v3_B': array([-33.92268228, -56.47858958, 28.53496082, ..., 32.69707002,
-20.23038053, -10.9520303 ], shape=(68661,))},
np.float64(57.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-13.3244318 , 93.9293189 , 134.27174093, ..., 20.72154429,
-11.91149879, 102.58288419], shape=(68661,)),
'avg_v3_A': array([-34.15869663, -55.48100664, 29.25332215, ..., 33.05585684,
-20.43984978, -9.97613341], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-13.3244318 , 93.9293189 , 134.27174093, ..., 20.72154429,
-11.91149879, 102.58288419], shape=(68661,)),
'avg_v3_B': array([-34.15869663, -55.48100664, 29.25332215, ..., 33.05585684,
-20.43984978, -9.97613341], shape=(68661,))},
np.float64(58.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-12.66283316, 93.83034287, 134.66748634, ..., 20.10514631,
-11.5469924 , 102.54413823], shape=(68661,)),
'avg_v3_A': array([-34.38353816, -54.48330155, 29.96694832, ..., 33.40466838,
-20.64313245, -9.00008169], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-12.66283316, 93.83034287, 134.66748634, ..., 20.10514631,
-11.5469924 , 102.54413823], shape=(68661,)),
'avg_v3_B': array([-34.38353816, -54.48330155, 29.96694832, ..., 33.40466838,
-20.64313245, -9.00008169], shape=(68661,))},
np.float64(59.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-11.99401355, 93.73716106, 135.0777433 , ..., 19.47820552,
-11.17809513, 102.50928524], shape=(68661,)),
'avg_v3_A': array([-34.59705162, -53.48548443, 30.67562987, ..., 33.74329071,
-20.84014434, -8.02389048], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-11.99401355, 93.73716106, 135.0777433 , ..., 19.47820552,
-11.17809513, 102.50928524], shape=(68661,)),
'avg_v3_B': array([-34.59705162, -53.48548443, 30.67562987, ..., 33.74329071,
-20.84014434, -8.02389048], shape=(68661,))},
np.float64(60.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-11.31827774, 93.64931739, 135.50285124, ..., 18.84087329,
-10.80492023, 102.4782759 ], shape=(68661,)),
'avg_v3_A': array([-34.7990874 , -52.48756433, 31.37914968, ..., 34.0715114 ,
-21.03080312, -7.04757477], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-11.31827774, 93.64931739, 135.50285124, ..., 18.84087329,
-10.80492023, 102.4782759 ], shape=(68661,)),
'avg_v3_B': array([-34.7990874 , -52.48756433, 31.37914968, ..., 34.0715114 ,
-21.03080312, -7.04757477], shape=(68661,))},
np.float64(61.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([-10.6359458 , 93.5664032 , 135.94315859, ..., 18.19331883,
-10.42758481, 102.45106681], shape=(68661,)),
'avg_v3_A': array([-34.9895019 , -51.48954936, 32.07728264, ..., 34.3891199 ,
-21.21502842, -6.07114929], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([-10.6359458 , 93.5664032 , 135.94315859, ..., 18.19331883,
-10.42758481, 102.45106681], shape=(68661,)),
'avg_v3_B': array([-34.9895019 , -51.48954936, 32.07728264, ..., 34.3891199 ,
-21.21502842, -6.07114929], shape=(68661,))},
np.float64(62.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -9.94735277, 93.48805122, 136.39902238, ..., 17.53572961,
-10.04620988, 102.42762031], shape=(68661,)),
'avg_v3_A': array([-35.16815796, -50.49144685, 32.76979535, ..., 34.695908 ,
-21.3927419 , -5.0946285 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -9.94735277, 93.48805122, 136.39902238, ..., 17.53572961,
-10.04620988, 102.42762031], shape=(68661,)),
'avg_v3_B': array([-35.16815796, -50.49144685, 32.76979535, ..., 34.695908 ,
-21.3927419 , -5.0946285 ], shape=(68661,))},
np.float64(63.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -9.25284822, 93.41393053, 136.87080781, ..., 16.86831186,
-9.66092027, 102.40790441], shape=(68661,)),
'avg_v3_A': array([-35.33492525, -49.49326337, 33.45644577, ..., 34.99167031,
-21.56386738, -4.11802664], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -9.25284822, 93.41393053, 136.87080781, ..., 16.86831186,
-9.66092027, 102.40790441], shape=(68661,)),
'avg_v3_B': array([-35.33492525, -49.49326337, 33.45644577, ..., 34.99167031,
-21.56386738, -4.11802664], shape=(68661,))},
np.float64(64.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -8.55279575, 93.34374222, 137.35888759, ..., 16.19129094,
-9.27184463, 102.39189259], shape=(68661,)),
'avg_v3_A': array([-35.48968068, -48.49500489, 34.13698297, ..., 35.27620471,
-21.72833091, -3.1413578 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -8.55279575, 93.34374222, 137.35888759, ..., 16.19129094,
-9.27184463, 102.39189259], shape=(68661,)),
'avg_v3_B': array([-35.48968068, -48.49500489, 34.13698297, ..., 35.27620471,
-21.72833091, -3.1413578 ], shape=(68661,))},
np.float64(65.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -7.84757241, 93.27721563, 137.86364132, ..., 15.50491164,
-8.87911536, 102.3795638 ], shape=(68661,)),
'avg_v3_A': array([-35.63230871, -47.49667682, 34.81114674, ..., 35.54931282,
-21.88606087, -2.16463588], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -7.84757241, 93.27721563, 137.86364132, ..., 15.50491164,
-8.87911536, 102.3795638 ], shape=(68661,)),
'avg_v3_B': array([-35.63230871, -47.49667682, 34.81114674, ..., 35.54931282,
-21.88606087, -2.16463588], shape=(68661,))},
np.float64(66.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -7.13756803, 93.21410512, 138.38545468, ..., 14.8094384 ,
-8.48286853, 102.37090233], shape=(68661,)),
'avg_v3_A': array([-35.76270178, -46.49828406, 35.47866731, ..., 35.81080054,
-22.03698805, -1.18787469], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -7.13756803, 93.21410512, 138.38545468, ..., 14.8094384 ,
-8.48286853, 102.37090233], shape=(68661,)),
'avg_v3_B': array([-35.76270178, -46.49828406, 35.47866731, ..., 35.81080054,
-22.03698805, -1.18787469], shape=(68661,))},
np.float64(67.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -6.42318445, 93.1541873 , 138.92471848, ..., 14.10515547,
-8.08324386, 102.36589779], shape=(68661,)),
'avg_v3_A': array([-35.88076061, -45.4998311 , 36.13926507, ..., 36.06047854,
-22.18104574, -0.21108794], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -6.42318445, 93.1541873 , 138.92471848, ..., 14.10515547,
-8.08324386, 102.36589779], shape=(68661,)),
'avg_v3_B': array([-35.88076061, -45.4998311 , 36.13926507, ..., 36.06047854,
-22.18104574, -0.21108794], shape=(68661,))},
np.float64(68.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -5.70483468, 93.09725858, 139.48182758, ..., 13.39236693,
-7.68038458, 102.36454504], shape=(68661,)),
'avg_v3_A': array([-35.98639452, -44.50132203, 36.79265023, ..., 36.29816276,
-22.31816982, 0.76571068], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -5.70483468, 93.09725858, 139.48182758, ..., 13.39236693,
-7.68038458, 102.36454504], shape=(68661,)),
'avg_v3_B': array([-35.98639452, -44.50132203, 36.79265023, ..., 36.29816276,
-22.31816982, 0.76571068], shape=(68661,))},
np.float64(69.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -4.98294202, 93.04313307, 140.05717968, ..., 12.67139663,
-7.27443738, 102.36684424], shape=(68661,)),
'avg_v3_A': array([-36.07952174, -43.50276058, 37.4385226 , ..., 36.52367496,
-22.44829887, 1.74250754], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -4.98294202, 93.04313307, 140.05717968, ..., 12.67139663,
-7.27443738, 102.36684424], shape=(68661,)),
'avg_v3_B': array([-36.07952174, -43.50276058, 37.4385226 , ..., 36.52367496,
-22.44829887, 1.74250754], shape=(68661,))},
np.float64(70.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -4.25793907, 92.99164075, 140.65117389, ..., 11.94258805,
-6.86555229, 102.37280077], shape=(68661,)),
'avg_v3_A': array([-36.16006968, -42.5041502 , 38.07657129, ..., 36.73684323,
-22.57137421, 2.71928896], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -4.25793907, 92.99164075, 140.65117389, ..., 11.94258805,
-6.86555229, 102.37280077], shape=(68661,)),
'avg_v3_B': array([-36.16006968, -42.5041502 , 38.07657129, ..., 36.73684323,
-22.57137421, 2.71928896], shape=(68661,))},
np.float64(71.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -3.53026668, 92.94262581, 141.26420914, ..., 11.20630401,
-6.45388255, 102.38242532], shape=(68661,)),
'avg_v3_A': array([-36.22797517, -41.50549404, 38.70647448, ..., 36.9375025 ,
-22.68734001, 3.69604126], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -3.53026668, 92.94262581, 141.26420914, ..., 11.20630401,
-6.45388255, 102.38242532], shape=(68661,)),
'avg_v3_B': array([-36.22797517, -41.50549404, 38.70647448, ..., 36.9375025 ,
-22.68734001, 3.69604126], shape=(68661,))},
np.float64(72.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -2.80037286, 92.89594524, 141.89668241, ..., 10.46292627,
-6.03958452, 102.39573388], shape=(68661,)),
'avg_v3_A': array([-36.28318467, -40.50679499, 39.32789925, ..., 37.12549508,
-22.79614337, 4.67275063], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -2.80037286, 92.89594524, 141.89668241, ..., 10.46292627,
-6.03958452, 102.39573388], shape=(68661,)),
'avg_v3_B': array([-36.28318467, -40.50679499, 39.32789925, ..., 37.12549508,
-22.79614337, 4.67275063], shape=(68661,))},
np.float64(73.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -2.06871162, 92.8514676 , 142.54898668, ..., 9.71285507,
-5.62281751, 102.41274783], shape=(68661,)),
'avg_v3_A': array([-36.32565445, -39.50805575, 39.94050135, ..., 37.30067115,
-22.89773438, 5.64940321], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -2.06871162, 92.8514676 , 142.54898668, ..., 9.71285507,
-5.62281751, 102.41274783], shape=(68661,)),
'avg_v3_B': array([-36.32565445, -39.50805575, 39.94050135, ..., 37.30067115,
-22.89773438, 5.64940321], shape=(68661,))},
np.float64(74.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -1.33574178, 92.80907187, 143.22150871, ..., 8.95650845,
-5.20374366, 102.433494 ], shape=(68661,)),
'avg_v3_A': array([-36.35535079, -38.50927879, 40.54392513, ..., 37.46288926,
-22.9920662 , 6.62598496], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -1.33574178, 92.80907187, 143.22150871, ..., 8.95650845,
-5.20374366, 102.433494 ], shape=(68661,)),
'avg_v3_B': array([-36.35535079, -38.50927879, 40.54392513, ..., 37.46288926,
-22.9920662 , 6.62598496], shape=(68661,))},
np.float64(75.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ -0.60192573, 92.76864651, 143.91462658, ..., 8.19432154,
-4.78252777, 102.45800475], shape=(68661,)),
'avg_v3_A': array([-36.37225002, -37.51046641, 41.13780342, ..., 37.6120168 ,
-23.07909513, 7.60248168], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ -0.60192573, 92.76864651, 143.91462658, ..., 8.19432154,
-4.78252777, 102.45800475], shape=(68661,)),
'avg_v3_B': array([-36.37225002, -37.51046641, 41.13780342, ..., 37.6120168 ,
-23.07909513, 7.60248168], shape=(68661,))},
np.float64(76.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 1.32271790e-01, 9.27300886e+01, 1.44628707e+02, ...,
7.42674572e+00, -4.35933716e+00, 1.02486318e+02], shape=(68661,)),
'avg_v3_A': array([-36.37633865, -36.51162072, 41.72175749, ..., 37.74793049,
-23.15878068, 8.57887895], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 1.32271790e-01, 9.27300886e+01, 1.44628707e+02, ...,
7.42674572e+00, -4.35933716e+00, 1.02486318e+02], shape=(68661,)),
'avg_v3_B': array([-36.37633865, -36.51162072, 41.72175749, ..., 37.74793049,
-23.15878068, 8.57887895], shape=(68661,))},
np.float64(77.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 0.86638502, 92.69330287, 145.364102 , ..., 6.6542476 ,
-3.93434144, 102.51847796], shape=(68661,)),
'avg_v3_A': array([-36.36761342, -35.51274371, 42.2953971 , ..., 37.87051678,
-23.23108561, 9.55516213], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 0.86638502, 92.69330287, 145.364102 , ..., 6.6542476 ,
-3.93434144, 102.51847796], shape=(68661,)),
'avg_v3_B': array([-36.36761342, -35.51274371, 42.2953971 , ..., 37.87051678,
-23.23108561, 9.55516213], shape=(68661,))},
np.float64(78.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 1.59994843, 92.65820141, 146.12114629, ..., 5.87730799,
-3.50771241, 102.55453404], shape=(68661,)),
'avg_v3_A': array([-36.3460813 , -34.51383722, 42.85832064, ..., 37.97967228,
-23.29597603, 10.53131627], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 1.59994843, 92.65820141, 146.12114629, ..., 5.87730799,
-3.50771241, 102.55453404], shape=(68661,)),
'avg_v3_B': array([-36.3460813 , -34.51383722, 42.85832064, ..., 37.97967228,
-23.29597603, 10.53131627], shape=(68661,))},
np.float64(79.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 2.33249797, 92.62470264, 146.90015311, ..., 5.09642067,
-3.0796238 , 102.59454227], shape=(68661,)),
'avg_v3_A': array([-36.31175945, -33.51490296, 43.41011522, ..., 38.07530416,
-23.3534214 , 11.50732613], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 2.33249797, 92.62470264, 146.90015311, ..., 5.09642067,
-3.0796238 , 102.59454227], shape=(68661,)),
'avg_v3_B': array([-36.31175945, -33.51490296, 43.41011522, ..., 38.07530416,
-23.3534214 , 11.50732613], shape=(68661,))},
np.float64(80.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 3.06357241, 92.592731 , 147.70141069, ..., 4.31209114,
-2.65025113, 102.63856491], shape=(68661,)),
'avg_v3_A': array([-36.26467521, -32.51594253, 43.95035704, ..., 38.15733044,
-23.40339461, 12.48317609], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 3.06357241, 92.592731 , 147.70141069, ..., 4.31209114,
-2.65025113, 102.63856491], shape=(68661,)),
'avg_v3_B': array([-36.26467521, -32.51594253, 43.95035704, ..., 38.15733044,
-23.40339461, 12.48317609], shape=(68661,))},
np.float64(81.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 3.79271453, 92.56221634, 148.52517815, ..., 3.52483523,
-2.21977147, 102.68667078], shape=(68661,)),
'avg_v3_A': array([-36.20486593, -31.51695743, 44.47861172, ..., 38.22568038,
-23.44587201, 13.45885015], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 3.79271453, 92.56221634, 148.52517815, ..., 3.52483523,
-2.21977147, 102.68667078], shape=(68661,)),
'avg_v3_B': array([-36.20486593, -31.51695743, 44.47861172, ..., 38.22568038,
-23.44587201, 13.45885015], shape=(68661,))},
np.float64(82.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 4.51947234, 92.53309356, 149.37168108, ..., 2.7351776 ,
-1.78836324, 102.73893549], shape=(68661,)),
'avg_v3_A': array([-36.13237891, -30.51794906, 44.99443477, ..., 38.28029466,
-23.48083346, 14.43433184], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 4.51947234, 92.53309356, 149.37168108, ..., 2.7351776 ,
-1.78836324, 102.73893549], shape=(68661,)),
'avg_v3_B': array([-36.13237891, -30.51794906, 44.99443477, ..., 38.28029466,
-23.48083346, 14.43433184], shape=(68661,))},
np.float64(83.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 5.2434003 , 92.50530213, 150.24110698, ..., 1.94365031,
-1.35620599, 102.7954418 ], shape=(68661,)),
'avg_v3_A': array([-36.04727119, -29.51891874, 45.49737223, ..., 38.32112571,
-23.50826234, 15.40960423], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 5.2434003 , 92.50530213, 150.24110698, ..., 1.94365031,
-1.35620599, 102.7954418 ], shape=(68661,)),
'avg_v3_B': array([-36.04727119, -29.51891874, 45.49737223, ..., 38.32112571,
-23.50826234, 15.40960423], shape=(68661,))},
np.float64(84.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 5.96406043, 92.47878578, 151.13360041, ..., 1.15079113,
-0.92348024, 102.85627983], shape=(68661,)),
'avg_v3_A': array([-35.94960939, -28.51986769, 45.98696136, ..., 38.34813781,
-23.5281456 , 16.38464983], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 5.96406043, 92.47878578, 151.13360041, ..., 1.15079113,
-0.92348024, 102.85627983], shape=(68661,)),
'avg_v3_B': array([-35.94960939, -28.51986769, 45.98696136, ..., 38.34813781,
-23.5281456 , 16.38464983], shape=(68661,))},
np.float64(85.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 6.68102337, 92.45349216, 152.04925798, ..., 0.35714197,
-0.49036716, 102.92154748], shape=(68661,)),
'avg_v3_A': array([-35.83946944, -27.52079709, 46.46273156, ..., 38.36130728,
-23.54047376, 17.35945057], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 6.68102337, 92.45349216, 152.04925798, ..., 0.35714197,
-0.49036716, 102.92154748], shape=(68661,)),
'avg_v3_B': array([-35.83946944, -27.52079709, 46.46273156, ..., 38.36130728,
-23.54047376, 17.35945057], shape=(68661,))},
np.float64(86.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 7.39386944e+00, 9.24293725e+01, 1.52988123e+02, ...,
-4.36752828e-01, -5.70484412e-02, 1.02991351e+02], shape=(68661,)),
'avg_v3_A': array([-35.71693637, -26.52170802, 46.92420534, ..., 38.36062255,
-23.54524095, 18.33398773], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 7.39386944e+00, 9.24293725e+01, 1.52988123e+02, ...,
-4.36752828e-01, -5.70484412e-02, 1.02991351e+02], shape=(68661,)),
'avg_v3_B': array([-35.71693637, -26.52170802, 46.92420534, ..., 38.36062255,
-23.54524095, 18.33398773], shape=(68661,))},
np.float64(87.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 8.10218955, 92.40638153, 153.95018113, ..., -1.23034813,
0.376294 , 103.06580431], shape=(68661,)),
'avg_v3_A': array([-35.582104 , -25.52260152, 47.37089954, ..., 38.34608422,
-23.54244489, 19.30824189], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 8.10218955, 92.40638153, 153.95018113, ..., -1.23034813,
0.376294 , 103.06580431], shape=(68661,)),
'avg_v3_B': array([-35.582104 , -25.52260152, 47.37089954, ..., 38.34608422,
-23.54244489, 19.30824189], shape=(68661,))},
np.float64(88.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 8.80558613, 92.3844769 , 154.93535313, ..., -2.02309976,
0.80947819, 103.14503167], shape=(68661,)),
'avg_v3_A': array([-35.43507466, -24.52347857, 47.80232665, ..., 38.31770507,
-23.53208691, 20.28219286], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 8.80558613, 92.3844769 , 154.93535313, ..., -2.02309976,
0.80947819, 103.14503167], shape=(68661,)),
'avg_v3_B': array([-35.43507466, -24.52347857, 47.80232665, ..., 38.31770507,
-23.53208691, 20.28219286], shape=(68661,))},
np.float64(89.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 9.5036739 , 92.36361927, 155.94349152, ..., -2.81446613,
1.24232238, 103.22916596], shape=(68661,)),
'avg_v3_A': array([-35.27595883, -23.5243401 , 48.21799631, ..., 38.27550996,
-23.51417196, 21.25581964], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 9.5036739 , 92.36361927, 155.94349152, ..., -2.81446613,
1.24232238, 103.22916596], shape=(68661,)),
'avg_v3_B': array([-35.27595883, -23.5243401 , 48.21799631, ..., 38.27550996,
-23.51417196, 21.25581964], shape=(68661,))},
np.float64(90.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 10.19608059, 92.34377197, 156.97437441, ..., -3.60390997,
1.67464522, 103.31835034], shape=(68661,)),
'avg_v3_A': array([-35.10487482, -22.52518696, 48.61741698, ..., 38.21953579,
-23.48870857, 22.22910029], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 10.19608059, 92.34377197, 156.97437441, ..., -3.60390997,
1.67464522, 103.31835034], shape=(68661,)),
'avg_v3_B': array([-35.10487482, -22.52518696, 48.61741698, ..., 38.21953579,
-23.48870857, 22.22910029], shape=(68661,))},
np.float64(91.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 10.88244761, 92.32490086, 158.02770074, ..., -4.39089989,
2.10626602, 103.41273862], shape=(68661,)),
'avg_v3_A': array([-34.92194838, -21.52602001, 49.00009784, ..., 38.14983132,
-23.45570887, 23.20201191], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 10.88244761, 92.32490086, 158.02770074, ..., -4.39089989,
2.10626602, 103.41273862], shape=(68661,)),
'avg_v3_B': array([-34.92194838, -21.52602001, 49.00009784, ..., 38.14983132,
-23.45570887, 23.20201191], shape=(68661,))},
np.float64(92.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 11.5624306 , 92.30697415, 159.10308555, ..., -5.17491203,
2.53700494, 103.51249595], shape=(68661,)),
'avg_v3_A': array([-34.72731238, -20.52684003, 49.36555072, ..., 38.06645698,
-23.41518855, 24.17453053], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 11.5624306 , 92.30697415, 159.10308555, ..., -5.17491203,
2.53700494, 103.51249595], shape=(68661,)),
'avg_v3_B': array([-34.72731238, -20.52684003, 49.36555072, ..., 38.06645698,
-23.41518855, 24.17453053], shape=(68661,))},
np.float64(93.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 12.2356999 , 92.28996223, 160.20005578, ..., -5.95543151,
2.96668325, 103.61779948], shape=(68661,)),
'avg_v3_A': array([-34.52110633, -19.52764777, 49.71329235, ..., 37.96948466,
-23.36716683, 25.14663102], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 12.2356999 , 92.28996223, 160.20005578, ..., -5.95543151,
2.96668325, 103.61779948], shape=(68661,)),
'avg_v3_B': array([-34.52110633, -19.52764777, 49.71329235, ..., 37.96948466,
-23.36716683, 25.14663102], shape=(68661,))},
np.float64(94.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 12.90194093, 92.27383758, 161.31804646, ..., -6.73195394,
3.39512351, 103.72883921], shape=(68661,)),
'avg_v3_A': array([-34.30347606, -18.52844396, 50.04284663, ..., 37.8589974 ,
-23.31166644, 26.11828702], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 12.90194093, 92.27383758, 161.31804646, ..., -6.73195394,
3.39512351, 103.72883921], shape=(68661,)),
'avg_v3_B': array([-34.30347606, -18.52844396, 50.04284663, ..., 37.8589974 ,
-23.31166644, 26.11828702], shape=(68661,))},
np.float64(95.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 13.56085452, 92.25857462, 162.45639773, ..., -7.50398676,
3.82214978, 103.84581882], shape=(68661,)),
'avg_v3_A': array([-34.07457327, -17.52922928, 50.35374713, ..., 37.73508912,
-23.24871361, 27.08947077], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 13.56085452, 92.25857462, 162.45639773, ..., -7.50398676,
3.82214978, 103.84581882], shape=(68661,)),
'avg_v3_B': array([-34.07457327, -17.52922928, 50.35374713, ..., 37.73508912,
-23.24871361, 27.08947077], shape=(68661,))},
np.float64(96.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 14.21215713, 92.2441496 , 163.61435245, ..., -8.27105052,
4.24758783, 103.9689566 ], shape=(68661,)),
'avg_v3_A': array([-33.83455515, -16.53000438, 50.64553964, ..., 37.59786421,
-23.17833798, 28.06015308], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 14.21215713, 92.2441496 , 163.61435245, ..., -8.27105052,
4.24758783, 103.9689566 ], shape=(68661,)),
'avg_v3_B': array([-33.83455515, -16.53000438, 50.64553964, ..., 37.59786421,
-23.17833798, 28.06015308], shape=(68661,))},
np.float64(97.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 14.85558096, 92.23054049, 164.7910548 , ..., -9.03268005,
4.67126536, 104.09848649], shape=(68661,)),
'avg_v3_A': array([-33.58358394, -15.5307699 , 50.91778485, ..., 37.44743721,
-23.10057257, 29.03030313], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 14.85558096, 92.23054049, 164.7910548 , ..., -9.03268005,
4.67126536, 104.09848649], shape=(68661,)),
'avg_v3_B': array([-33.58358394, -15.5307699 , 50.91778485, ..., 37.44743721,
-23.10057257, 29.03030313], shape=(68661,))},
np.float64(98.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 15.49087406, 92.21772691, 165.98554992, ..., -9.78842556,
5.09301215, 104.23465924], shape=(68661,)),
'avg_v3_A': array([-33.32182653, -14.53152645, 51.17006109, ..., 37.28393234,
-23.01545377, 29.99988837], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 15.49087406, 92.21772691, 165.98554992, ..., -9.78842556,
5.09301215, 104.23465924], shape=(68661,)),
'avg_v3_B': array([-33.32182653, -14.53152645, 51.17006109, ..., 37.28393234,
-23.01545377, 29.99988837], shape=(68661,))},
np.float64(99.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 16.11780032, 92.20569001, 167.19678455, ..., -10.53785355,
5.51266027, 104.37774361], shape=(68661,)),
'avg_v3_A': array([-33.04945406, -13.5322746 , 51.4019671 , ..., 37.1074831 ,
-22.92302121, 30.96887438], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 16.11780032, 92.20569001, 167.19678455, ..., -10.53785355,
5.51266027, 104.37774361], shape=(68661,)),
'avg_v3_B': array([-33.04945406, -13.5322746 , 51.4019671 , ..., 37.1074831 ,
-22.92302121, 30.96887438], shape=(68661,))},
np.float64(100.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 16.73613938, 92.19441244, 168.4236089 , ..., -11.28054771,
5.93004426, 104.52802774], shape=(68661,)),
'avg_v3_A': array([-32.7666415 , -12.53301492, 51.61312479, ..., 36.91823179,
-22.82331776, 31.93722469], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 16.73613938, 92.19441244, 168.4236089 , ..., -11.28054771,
5.93004426, 104.52802774], shape=(68661,)),
'avg_v3_B': array([-32.7666415 , -12.53301492, 51.61312479, ..., 36.91823179,
-22.82331776, 31.93722469], shape=(68661,))},
np.float64(101.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 17.34568647, 92.18387823, 169.66477985, ..., -12.01610962,
6.34500126, 104.68582067], shape=(68661,)),
'avg_v3_A': array([-32.47356727, -11.53374795, 51.80318201, ..., 36.71632903,
-22.71638946, 32.90490059], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 17.34568647, 92.18387823, 169.66477985, ..., -12.01610962,
6.34500126, 104.68582067], shape=(68661,)),
'avg_v3_B': array([-32.47356727, -11.53374795, 51.80318201, ..., 36.71632903,
-22.71638946, 32.90490059], shape=(68661,))},
np.float64(102.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 17.94625225, 92.17407277, 170.91896527, ..., -12.74415936,
6.75737122, 104.85145394], shape=(68661,)),
'avg_v3_A': array([-32.17041283, -10.53447421, 51.97181513, ..., 36.50193328,
-22.60228541, 33.87186096], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 17.94625225, 92.17407277, 170.91896527, ..., -12.74415936,
6.75737122, 104.85145394], shape=(68661,)),
'avg_v3_B': array([-32.17041283, -10.53447421, 51.97181513, ..., 36.50193328,
-22.60228541, 33.87186096], shape=(68661,))},
np.float64(103.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 18.53766254, 92.16498274, 172.18474979, ..., -13.464336 ,
7.16699698, 105.02528342], shape=(68661,)),
'avg_v3_A': array([-31.85736233, -9.53519422, 52.11873163, ..., 36.27521028,
-22.48105775, 34.83806204], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 18.53766254, 92.16498274, 172.18474979, ..., -13.464336 ,
7.16699698, 105.02528342], shape=(68661,)),
'avg_v3_B': array([-31.85736233, -9.53519422, 52.11873163, ..., 36.27521028,
-22.48105775, 34.83806204], shape=(68661,))},
np.float64(104.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 19.119758 , 92.15659602, 173.46064178, ..., -14.17629801,
7.57372449, 105.20769133], shape=(68661,)),
'avg_v3_A': array([-31.5346022 , -8.53590846, 52.24367244, ..., 36.03633261,
-22.35276156, 35.8034572 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 19.119758 , 92.15659602, 173.46064178, ..., -14.17629801,
7.57372449, 105.20769133], shape=(68661,)),
'avg_v3_B': array([-31.5346022 , -8.53590846, 52.24367244, ..., 36.03633261,
-22.35276156, 35.8034572 ], shape=(68661,))},
np.float64(105.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 19.69239376, 92.14890173, 174.74508153, ..., -14.87972346,
7.97740286, 105.39908836], shape=(68661,)),
'avg_v3_A': array([-31.20232084, -7.53661743, 52.34641407, ..., 35.7854791 ,
-22.21745477, 36.76799667], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 19.69239376, 92.14890173, 174.74508153, ..., -14.87972346,
7.97740286, 105.39908836], shape=(68661,)),
'avg_v3_B': array([-31.20232084, -7.53661743, 52.34641407, ..., 35.7854791 ,
-22.21745477, 36.76799667], shape=(68661,))},
np.float64(106.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 20.25543908, 92.14189009, 176.03645057, ..., -15.57431024,
8.37788453, 105.59991616], shape=(68661,)),
'avg_v3_A': array([-30.86070825, -6.53732157, 52.42677055, ..., 35.52283435,
-22.0751981 , 37.73162726], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 20.25543908, 92.14189009, 176.03645057, ..., -15.57431024,
8.37788453, 105.59991616], shape=(68661,)),
'avg_v3_B': array([-30.86070825, -6.53732157, 52.42677055, ..., 35.52283435,
-22.0751981 , 37.73162726], shape=(68661,))},
np.float64(107.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 20.80877685, 92.13555245, 177.33308201, ..., -16.25977607,
8.77502535, 105.81064998], shape=(68661,)),
'avg_v3_A': array([-30.50995569, -5.53802137, 52.484595 , ..., 35.24858819,
-21.92605498, 38.69429203], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 20.80877685, 92.13555245, 177.33308201, ..., -16.25977607,
8.77502535, 105.81064998], shape=(68661,)),
'avg_v3_B': array([-30.50995569, -5.53802137, 52.484595 , ..., 35.24858819,
-21.92605498, 38.69429203], shape=(68661,))},
np.float64(108.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 21.35230318, 92.12988127, 178.63327171, ..., -16.93585845,
9.16868468, 106.03180164], shape=(68661,)),
'avg_v3_A': array([-30.1502554 , -4.53871726, 52.51978097, ..., 34.96293518,
-21.77009145, 39.65592993], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 21.35230318, 92.12988127, 178.63327171, ..., -16.93585845,
9.16868468, 106.03180164], shape=(68661,)),
'avg_v3_B': array([-30.1502554 , -4.53871726, 52.51978097, ..., 34.96293518,
-21.77009145, 39.65592993], shape=(68661,))},
np.float64(109.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 21.88592689, 92.12487002, 179.93529008, ..., -17.60231452,
9.55872549, 106.26392283], shape=(68661,)),
'avg_v3_A': array([-29.78180029, -3.53940968, 52.53226335, ..., 34.66607406,
-21.60737606, 40.61647544], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 21.88592689, 92.12487002, 179.93529008, ..., -17.60231452,
9.55872549, 106.26392283], shape=(68661,)),
'avg_v3_B': array([-29.78180029, -3.53940968, 52.53226335, ..., 34.66607406,
-21.60737606, 40.61647544], shape=(68661,))},
np.float64(110.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 22.40956898, 92.12051324, -178.7626056 , ..., -18.25892084,
9.94501442, 106.50760869], shape=(68661,)),
'avg_v3_A': array([-29.40478362, -2.54009907, 52.522019 , ..., 34.35820731,
-21.43797983, 41.5758581 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 22.40956898, 92.12051324, -178.7626056 , ..., -18.25892084,
9.94501442, 106.50760869], shape=(68661,)),
'avg_v3_B': array([-29.40478362, -2.54009907, 52.522019 , ..., 34.35820731,
-21.43797983, 41.5758581 ], shape=(68661,))},
np.float64(111.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 22.92316214, 92.11680645, -177.46215869, ..., -18.90547304,
10.32742183, 106.76350191], shape=(68661,)),
'avg_v3_A': array([-29.01939881, -1.54078586, 52.48906691, ..., 34.03954063,
-21.26197611, 42.534002 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 22.92316214, 92.11680645, -177.46215869, ..., -18.90547304,
10.32742183, 106.76350191], shape=(68661,)),
'avg_v3_B': array([-29.01939881, -1.54078586, 52.48906691, ..., 34.03954063,
-21.26197611, 42.534002 ], shape=(68661,))},
np.float64(112.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 23.42665018, 92.1137462 , -176.1651006 , ..., -19.54178548,
10.7058219 , 107.0322972 ], shape=(68661,)),
'avg_v3_A': array([-28.62583911, -0.54147046, 52.43346807, ..., 33.71028248,
-21.07944051, 43.49082531], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 23.42665018, 92.1137462 , -176.1651006 , ..., -19.54178548,
10.7058219 , 107.0322972 ], shape=(68661,)),
'avg_v3_B': array([-28.62583911, -0.54147046, 52.43346807, ..., 33.71028248,
-21.07944051, 43.49082531], shape=(68661,))},
np.float64(113.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 23.9199875 , 92.11133001, -174.87313854, ..., -20.16769073,
11.08009262, 107.31474625], shape=(68661,)),
'avg_v3_A': array([-28.22429742, 0.4578467 , 52.35532491, ..., 33.37064359,
-20.89045081, 44.44623958], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 23.9199875 , 92.11133001, -174.87313854, ..., -20.16769073,
11.08009262, 107.31474625], shape=(68661,)),
'avg_v3_B': array([-28.22429742, 0.4578467 , 52.35532491, ..., 33.37064359,
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np.float64(114.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 24.4031385 , 92.10955639, -173.58794356, ..., -20.78303916,
11.45011585, 107.61166339], shape=(68661,)),
'avg_v3_A': array([-27.81496607, 1.45716521, 52.25478037, ..., 33.02083658,
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'avg_v2_B': array([ 24.4031385 , 92.10955639, -173.58794356, ..., -20.78303916,
11.45011585, 107.61166339], shape=(68661,)),
'avg_v3_B': array([-27.81496607, 1.45716521, 52.25478037, ..., 33.02083658,
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np.float64(115.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 24.87607705, 92.10842482, -172.31113937, ..., -21.38769826,
11.81577734, 107.92393174], shape=(68661,)),
'avg_v3_A': array([-27.39803657, 2.45648464, 52.13201664, ..., 32.66107551,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 24.87607705, 92.10842482, -172.31113937, ..., -21.38769826,
11.81577734, 107.92393174], shape=(68661,)),
'avg_v3_B': array([-27.39803657, 2.45648464, 52.13201664, ..., 32.66107551,
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np.float64(116.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 25.33878592, 92.10793576, -171.04429191, ..., -21.98155212,
12.17696675, 108.2525102 ], shape=(68661,)),
'avg_v3_A': array([-26.97369949, 3.45580461, 51.98725359, ..., 32.29157545,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 25.33878592, 92.10793576, -171.04429191, ..., -21.98155212,
12.17696675, 108.2525102 ], shape=(68661,)),
'avg_v3_B': array([-26.97369949, 3.45580461, 51.98725359, ..., 32.29157545,
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np.float64(117.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 25.79125622, 92.10809065, -169.7888999 , ..., -22.56450076,
12.53357762, 108.59844125], shape=(68661,)),
'avg_v3_A': array([-26.54214425, 4.45512467, 51.82074689, ..., 31.91255217,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 25.79125622, 92.10809065, -169.7888999 , ..., -22.56450076,
12.53357762, 108.59844125], shape=(68661,)),
'avg_v3_B': array([-26.54214425, 4.45512467, 51.82074689, ..., 31.91255217,
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np.float64(118.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 26.23348688, 92.10889192, -168.54638654, ..., -23.13645944,
12.88550741, 108.96285964], shape=(68661,)),
'avg_v3_A': array([-26.10355898, 5.45444443, 51.63278586, ..., 31.52422173,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 26.23348688, 92.10889192, -168.54638654, ..., -23.13645944,
12.88550741, 108.96285964], shape=(68661,)),
'avg_v3_B': array([-26.10355898, 5.45444443, 51.63278586, ..., 31.52422173,
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np.float64(119.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 26.66548405, 92.110343 , -167.31809244, ..., -23.69735798,
13.23265745, 109.34700227], shape=(68661,)),
'avg_v3_A': array([-25.65813038, 6.45376347, 51.42369116, ..., 31.12680015,
-19.62558163, 50.14316285], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 26.66548405, 92.110343 , -167.31809244, ..., -23.69735798,
13.23265745, 109.34700227], shape=(68661,)),
'avg_v3_B': array([-25.65813038, 6.45376347, 51.42369116, ..., 31.12680015,
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np.float64(120.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 27.08726063, 92.11244833, -166.10526971, ..., -24.24714006,
13.57493294, 109.75221913], shape=(68661,)),
'avg_v3_A': array([-25.20604358, 7.45308137, 51.19381227, ..., 30.72050312,
-19.39375357, 51.08551753], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 27.08726063, 92.11244833, -166.10526971, ..., -24.24714006,
13.57493294, 109.75221913], shape=(68661,)),
'avg_v3_B': array([-25.20604358, 7.45308137, 51.19381227, ..., 30.72050312,
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np.float64(121.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 27.4988357 , 92.11521338, -164.90907748, ..., -24.78576244,
13.91224289, 110.17998575], shape=(68661,)),
'avg_v3_A': array([-24.74748205, 8.45239769, 50.94352483, ..., 30.30554567,
-19.15616058, 52.02541561], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 27.4988357 , 92.11521338, -164.90907748, ..., -24.78576244,
13.91224289, 110.17998575], shape=(68661,)),
'avg_v3_B': array([-24.74748205, 8.45239769, 50.94352483, ..., 30.30554567,
-19.15616058, 52.02541561], shape=(68661,))},
np.float64(122.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 27.90023407, 92.11864469, -163.73057863, ..., -25.3131943 ,
14.24450012, 110.63191712], shape=(68661,)),
'avg_v3_A': array([-24.2826275 , 9.45171203, 50.67322795, ..., 29.88214196,
-18.91289581, 52.96266545], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 27.90023407, 92.11864469, -163.73057863, ..., -25.3131943 ,
14.24450012, 110.63191712], shape=(68661,)),
'avg_v3_B': array([-24.2826275 , 9.45171203, 50.67322795, ..., 29.88214196,
-18.91289581, 52.96266545], shape=(68661,))},
np.float64(123.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 28.29148572, 92.12274986, -162.57073777, ..., -25.82941644,
14.57162117, 111.10978348], shape=(68661,)),
'avg_v3_A': array([-23.81165977, 10.45102392, 50.38334141, ..., 29.45050496,
-18.6640537 , 53.89705625], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 28.29148572, 92.12274986, -162.57073777, ..., -25.82941644,
14.57162117, 111.10978348], shape=(68661,)),
'avg_v3_B': array([-23.81165977, 10.45102392, 50.38334141, ..., 29.45050496,
-18.6640537 , 53.89705625], shape=(68661,))},
np.float64(124.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 28.67262539, 92.12753762, -161.43042046, ..., -26.3344206 ,
14.8935263 , 111.61552805], shape=(68661,)),
'avg_v3_A': array([-23.33475679, 11.45033295, 50.0743029 , ..., 29.01084625,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 28.67262539, 92.12753762, -161.43042046, ..., -26.3344206 ,
14.8935263 , 111.61552805], shape=(68661,)),
'avg_v3_B': array([-23.33475679, 11.45033295, 50.0743029 , ..., 29.01084625,
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np.float64(125.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 29.04369205, 92.13301784, -160.3103935 , ..., -26.82820867,
15.21013938, 112.15128712], shape=(68661,)),
'avg_v3_A': array([-22.85209448, 12.44963865, 49.74656529, ..., 28.56337585,
-18.15002097, 55.75630697], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 29.04369205, 92.13301784, -160.3103935 , ..., -26.82820867,
15.21013938, 112.15128712], shape=(68661,)),
'avg_v3_B': array([-22.85209448, 12.44963865, 49.74656529, ..., 28.56337585,
-18.15002097, 55.75630697], shape=(68661,))},
np.float64(126.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 29.40472853, 92.13920158, -159.21132629, ..., -27.31079205,
15.52138785, 112.71941268], shape=(68661,)),
'avg_v3_A': array([-22.36384676, 13.44894056, 49.40059393, ..., 28.10830197,
-17.88502482, 56.6806261 ], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 29.40472853, 92.13920158, -159.21132629, ..., -27.31079205,
15.52138785, 112.71941268], shape=(68661,)),
'avg_v3_B': array([-22.36384676, 13.44894056, 49.40059393, ..., 28.10830197,
-17.88502482, 56.6806261 ], shape=(68661,))},
np.float64(127.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 29.75578104, 92.14610115, -158.13379297, ..., -27.7821909 ,
15.82720266, 113.32249808], shape=(68661,)),
'avg_v3_A': array([-21.87018542, 14.4482382 , 49.03686405, ..., 27.64583089,
-17.61484007, 57.60099783], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 29.75578104, 92.14610115, -158.13379297, ..., -27.7821909 ,
15.82720266, 113.32249808], shape=(68661,)),
'avg_v3_B': array([-21.87018542, 14.4482382 , 49.03686405, ..., 27.64583089,
-17.61484007, 57.60099783], shape=(68661,))},
np.float64(128.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 30.09689879, 92.15373014, -157.07827553, ..., -28.24243344,
16.12751816, 113.96340688], shape=(68661,)),
'avg_v3_A': array([-21.37128018, 15.4475311 , 48.65585835, ..., 27.17616677,
-17.33956628, 58.51707169], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 30.09689879, 92.15373014, -157.07827553, ..., -28.24243344,
16.12751816, 113.96340688], shape=(68661,)),
'avg_v3_B': array([-21.37128018, 15.4475311 , 48.65585835, ..., 27.17616677,
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np.float64(129.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 30.42813357, 92.16210347, -156.04516741, ..., -28.69155532,
16.42227208, 114.64530554], shape=(68661,)),
'avg_v3_A': array([-20.8672986 , 16.44681875, 48.2580646 , ..., 26.69951156,
-17.05930382, 59.42845709], shape=(68661,)),
'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 30.42813357, 92.16210347, -156.04516741, ..., -28.69155532,
16.42227208, 114.64530554], shape=(68661,)),
'avg_v3_B': array([-20.8672986 , 16.44681875, 48.2580646 , ..., 26.69951156,
-17.05930382, 59.42845709], shape=(68661,))},
np.float64(130.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 30.74953943, 92.1712375 , -155.03477773, ..., -29.12959896,
16.71140537, 115.37170018], shape=(68661,)),
'avg_v3_A': array([-20.35840611, 17.44610063, 47.84397346, ..., 26.21606484,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 30.74953943, 92.1712375 , -155.03477773, ..., -29.12959896,
16.71140537, 115.37170018], shape=(68661,)),
'avg_v3_B': array([-20.35840611, 17.44610063, 47.84397346, ..., 26.21606484,
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np.float64(131.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 31.06117226, 92.18115004, -154.04733598, ..., -29.55661288,
16.99486219, 116.14647794], shape=(68661,)),
'avg_v3_A': array([-19.84476598, 18.44537621, 47.41407648, ..., 25.72602378,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 31.06117226, 92.18115004, -154.04733598, ..., -29.55661288,
16.99486219, 116.14647794], shape=(68661,)),
'avg_v3_B': array([-19.84476598, 18.44537621, 47.41407648, ..., 25.72602378,
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np.float64(132.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 31.36308949, 92.1918605 , -153.08299691, ..., -29.97265115,
17.27258976, 116.9739533 ], shape=(68661,)),
'avg_v3_A': array([-19.32653933, 19.44464495, 46.96886421, ..., 25.22958298,
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'avg_v2_B': array([ 31.36308949, 92.1918605 , -153.08299691, ..., -29.97265115,
17.27258976, 116.9739533 ], shape=(68661,)),
'avg_v3_B': array([-19.32653933, 19.44464495, 46.96886421, ..., 25.22958298,
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np.float64(133.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 31.65534979, 92.20338989, -152.14184572, ..., -30.37777278,
17.5445383 , 117.8589198 ], shape=(68661,)),
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17.5445383 , 117.8589198 ], shape=(68661,)),
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np.float64(134.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 31.93801269, 92.215761 , -151.22390339, ..., -30.77204115,
17.81066092, 118.80670723], shape=(68661,)),
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'avg_v2_B': array([ 31.93801269, 92.215761 , -151.22390339, ..., -30.77204115,
17.81066092, 118.80670723], shape=(68661,)),
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np.float64(135.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 32.21113839, 92.22899846, -150.32913194, ..., -31.15552351,
18.07091356, 119.82324451], shape=(68661,)),
'avg_v3_A': array([-17.74591944, 22.44240419, 45.54619189, ..., 23.70376913,
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'avg_v2_B': array([ 32.21113839, 92.22899846, -150.32913194, ..., -31.15552351,
18.07091356, 119.82324451], shape=(68661,)),
'avg_v3_B': array([-17.74591944, 22.44240419, 45.54619189, ..., 23.70376913,
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np.float64(136.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 32.47478743, 92.24312885, -149.45743975, ..., -31.52829044,
18.32525484, 120.91512763], shape=(68661,)),
'avg_v3_A': array([-17.21091534, 23.44163955, 45.0445484 , ..., 23.18362291,
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'avg_v2_B': array([ 32.47478743, 92.24312885, -149.45743975, ..., -31.52829044,
18.32525484, 120.91512763], shape=(68661,)),
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np.float64(137.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 32.72902043, 92.25818087, -148.60868676, ..., -31.89041537,
18.57364599, 122.08969192], shape=(68661,)),
'avg_v3_A': array([-16.67209859, 24.44086493, 44.52997412, ..., 22.65801018,
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'avg_v2_B': array([ 32.72902043, 92.25818087, -148.60868676, ..., -31.89041537,
18.57364599, 122.08969192], shape=(68661,)),
'avg_v3_B': array([-16.67209859, 24.44086493, 44.52997412, ..., 22.65801018,
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np.float64(138.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 32.97389789, 92.27418543, -147.78268948, ..., -32.24197414,
18.81605074, 123.35508662], shape=(68661,)),
'avg_v3_A': array([-16.1296178 , 25.44007964, 44.00292391, ..., 22.12710939,
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18.81605074, 123.35508662], shape=(68661,)),
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np.float64(139.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 33.20947993, 92.29117585, -146.97922586, ..., -32.58304454,
19.05243524, 124.7203486 ], shape=(68661,)),
'avg_v3_A': array([-15.58361961, 26.43928292, 43.46384322, ..., 21.59109625,
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19.05243524, 124.7203486 ], shape=(68661,)),
'avg_v3_B': array([-15.58361961, 26.43928292, 43.46384322, ..., 21.59109625,
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np.float64(140.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 33.43582611, 92.30918801, -146.19803989, ..., -32.9137059 ,
19.28276794, 126.19546995], shape=(68661,)),
'avg_v3_A': array([-15.03424873, 27.43847398, 42.91316745, ..., 21.05014369,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 33.43582611, 92.30918801, -146.19803989, ..., -32.9137059 ,
19.28276794, 126.19546995], shape=(68661,)),
'avg_v3_B': array([-15.03424873, 27.43847398, 42.91316745, ..., 21.05014369,
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np.float64(141.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 33.6529952 , 92.32826053, -145.43884602, ..., -33.23403875,
19.5070195 , 127.79145153], shape=(68661,)),
'avg_v3_A': array([-14.48164802, 28.437652 , 42.35132147, ..., 20.50442195,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 33.6529952 , 92.32826053, -145.43884602, ..., -33.23403875,
19.5070195 , 127.79145153], shape=(68661,)),
'avg_v3_B': array([-14.48164802, 28.437652 , 42.35132147, ..., 20.50442195,
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np.float64(142.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 33.86104501, 92.34843502, -144.70133324, ..., -33.54412436,
19.72516268, 129.52033034], shape=(68661,)),
'avg_v3_A': array([-13.92595847, 29.43681611, 41.77871923, ..., 19.95409855,
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'avg_v2_B': array([ 33.86104501, 92.34843502, -144.70133324, ..., -33.54412436,
19.72516268, 129.52033034], shape=(68661,)),
'avg_v3_B': array([-13.92595847, 29.43681611, 41.77871923, ..., 19.95409855,
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np.float64(143.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.06003223, 92.36975624, -143.98516896, ..., -33.84404451,
19.93717226, 131.39516359], shape=(68661,)),
'avg_v3_A': array([-13.36731934, 30.43596537, 41.19576349, ..., 19.39933835,
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'avg_v2_B': array([ 34.06003223, 92.36975624, -143.98516896, ..., -33.84404451,
19.93717226, 131.39516359], shape=(68661,)),
'avg_v3_B': array([-13.36731934, 30.43596537, 41.19576349, ..., 19.39933835,
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np.float64(144.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.25001226, 92.39227245, -143.29000255, ..., -34.13388106,
20.14302491, 133.42994533], shape=(68661,)),
'avg_v3_A': array([-12.80586816, 31.43509882, 40.60284561, ..., 18.84030357,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 34.25001226, 92.39227245, -143.29000255, ..., -34.13388106,
20.14302491, 133.42994533], shape=(68661,)),
'avg_v3_B': array([-12.80586816, 31.43509882, 40.60284561, ..., 18.84030357,
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np.float64(145.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.43103903, 92.41603561, -142.61546865, ..., -34.41371575,
20.34269915, 135.63942296], shape=(68661,)),
'avg_v3_A': array([-12.24174079, 32.4342154 , 40.00034544, ..., 18.27715386,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 34.43103903, 92.41603561, -142.61546865, ..., -34.41371575,
20.34269915, 135.63942296], shape=(68661,)),
'avg_v3_B': array([-12.24174079, 32.4342154 , 40.00034544, ..., 18.27715386,
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np.float64(146.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.60316494, 92.44110174, -141.96119019, ..., -34.68362982,
20.53617518, 138.03877176], shape=(68661,)),
'avg_v3_A': array([-11.67507152, 33.43331402, 39.3886313 , ..., 17.71004632,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 34.60316494, 92.44110174, -141.96119019, ..., -34.68362982,
20.53617518, 138.03877176], shape=(68661,)),
'avg_v3_B': array([-11.67507152, 33.43331402, 39.3886313 , ..., 17.71004632,
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np.float64(147.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.76644065, 92.46753123, -141.32678113, ..., -34.94370384,
20.72343488, 140.64307634], shape=(68661,)),
'avg_v3_A': array([-11.1059931 , 34.43239349, 38.76805998, ..., 17.13913557,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 34.76644065, 92.46753123, -141.32678113, ..., -34.94370384,
20.72343488, 140.64307634], shape=(68661,)),
'avg_v3_B': array([-11.1059931 , 34.43239349, 38.76805998, ..., 17.13913557,
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np.float64(148.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 34.920915 , 92.49538929, -140.711849 , ..., -35.1940174 ,
20.90446161, 143.4665628 ], shape=(68661,)),
'avg_v3_A': array([-10.53463681, 35.43145256, 38.13897684, ..., 16.56457381,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 34.920915 , 92.49538929, -140.711849 , ..., -35.1940174 ,
20.90446161, 143.4665628 ], shape=(68661,)),
'avg_v3_B': array([-10.53463681, 35.43145256, 38.13897684, ..., 16.56457381,
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np.float64(149.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.0666349 , 92.52474633, -140.11599714, ..., -35.4346489 ,
21.07924023, 146.52152879], shape=(68661,)),
'avg_v3_A': array([ -9.96113255, 36.43048989, 37.50171591, ..., 15.98651087,
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'avg_v2_B': array([ 35.0666349 , 92.52474633, -140.11599714, ..., -35.4346489 ,
21.07924023, 146.52152879], shape=(68661,)),
'avg_v3_B': array([ -9.96113255, 36.43048989, 37.50171591, ..., 15.98651087,
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np.float64(150.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.20364523, 92.55567843, -139.53882672, ..., -35.66567536,
21.24775691, 149.81693965], shape=(68661,)),
'avg_v3_A': array([ -9.38560887, 37.42950405, 36.85660008, ..., 15.40509429,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.20364523, 92.55567843, -139.53882672, ..., -35.66567536,
21.24775691, 149.81693965], shape=(68661,)),
'avg_v3_B': array([ -9.38560887, 37.42950405, 36.85660008, ..., 15.40509429,
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np.float64(151.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.33198872, 92.58826795, -138.97993857, ..., -35.8871722 ,
21.40999914, 153.35670657], shape=(68661,)),
'avg_v3_A': array([-8.80819308, 38.42849347, 36.20394133, ..., 14.82046939,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 35.33198872, 92.58826795, -138.97993857, ..., -35.8871722 ,
21.40999914, 153.35670657], shape=(68661,)),
'avg_v3_B': array([-8.80819308, 38.42849347, 36.20394133, ..., 14.82046939,
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np.float64(152.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.45170591, 92.62260404, -138.4389348 , ..., -36.09921309,
21.56595558, 157.13774565], shape=(68661,)),
'avg_v3_A': array([-8.22901128, 39.42745652, 35.54404088, ..., 14.23277933,
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'avg_v2_B': array([ 35.45170591, 92.62260404, -138.4389348 , ..., -36.09921309,
21.56595558, 157.13774565], shape=(68661,)),
'avg_v3_B': array([-8.22901128, 39.42745652, 35.54404088, ..., 14.23277933,
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np.float64(153.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.56283505, 92.65878339, -137.91542019, ..., -36.30186973,
21.71561601, 161.14803485], shape=(68661,)),
'avg_v3_A': array([-7.64818846, 40.42639141, 34.87718953, ..., 13.64216517,
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'avg_v2_B': array([ 35.56283505, 92.65878339, -137.91542019, ..., -36.30186973,
21.71561601, 161.14803485], shape=(68661,)),
'avg_v3_B': array([-7.64818846, 40.42639141, 34.87718953, ..., 13.64216517,
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np.float64(154.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.66541201, 92.69691094, -137.40900349, ..., -36.49521174,
21.85897125, 165.36501715], shape=(68661,)),
'avg_v3_A': array([-7.06584858, 41.42529622, 34.20366789, ..., 13.04876599,
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'avg_v2_B': array([ 35.66541201, 92.69691094, -137.40900349, ..., -36.49521174,
21.85897125, 165.36501715], shape=(68661,)),
'avg_v3_B': array([-7.06584858, 41.42529622, 34.20366789, ..., 13.04876599,
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np.float64(155.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_A': array([ 35.75947025, 92.73710078, -136.91929847, ..., -36.67930652,
21.99601307, 169.75479795], shape=(68661,)),
'avg_v3_A': array([-6.4821146 , 42.42416886, 33.52374668, ..., 12.45271892,
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21.99601307, 169.75479795], shape=(68661,)),
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np.float64(156.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.12673416, 174.2725799 ], shape=(68661,)),
'avg_v3_A': array([-5.89710859, 43.42300709, 32.83768702, ..., 11.85415926,
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22.12673416, 174.2725799 ], shape=(68661,)),
'avg_v3_B': array([-5.89710859, 43.42300709, 32.83768702, ..., 11.85415926,
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np.float64(157.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.25112799, 178.86461204], shape=(68661,)),
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'avg_v2_B': array([ 35.92215195, 92.82417514, -135.98850935, ..., -37.02001199,
22.25112799, 178.86461204], shape=(68661,)),
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np.float64(158.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.36918882, -176.5284043 ], shape=(68661,)),
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22.36918882, -176.5284043 ], shape=(68661,)),
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np.float64(159.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.48091159, -171.96691697], shape=(68661,)),
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22.48091159, -171.96691697], shape=(68661,)),
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np.float64(160.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.58629188, -167.50791052], shape=(68661,)),
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22.58629188, -167.50791052], shape=(68661,)),
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np.float64(161.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.68532585, -163.20092984], shape=(68661,)),
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'avg_v2_B': array([ 36.14648142, 93.02935818, -134.31123238, ..., -37.59314503,
22.68532585, -163.20092984], shape=(68661,)),
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np.float64(162.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.77801017, -159.08538152], shape=(68661,)),
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'avg_v2_B': array([ 36.18163108, 93.08818401, -133.92828608, ..., -37.71418367,
22.77801017, -159.08538152], shape=(68661,)),
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np.float64(163.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.864342 , -155.18937062], shape=(68661,)),
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22.864342 , -155.18937062], shape=(68661,)),
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np.float64(164.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.94431891, -151.5299436 ], shape=(68661,)),
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22.94431891, -151.5299436 ], shape=(68661,)),
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np.float64(165.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.01793887, -148.11435308], shape=(68661,)),
'avg_v3_A': array([-0.59460702, 52.41051677, 26.42566394, ..., 6.37556937,
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'avg_v3_B': array([-0.59460702, 52.41051677, 26.42566394, ..., 6.37556937,
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np.float64(166.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.08520018, -144.94188176], shape=(68661,)),
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5.75897716e+00, -4.13285907e+00, 7.50010335e+01], shape=(68661,)),
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23.08520018, -144.94188176], shape=(68661,)),
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5.75897716e+00, -4.13285907e+00, 7.50010335e+01], shape=(68661,))},
np.float64(167.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.14610144, -142.0058198 ], shape=(68661,)),
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23.14610144, -142.0058198 ], shape=(68661,)),
'avg_v3_B': array([ 0.58767273, 54.40706813, 24.95192089, ..., 5.14126233,
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np.float64(168.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.20064153, -139.29531343], shape=(68661,)),
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23.20064153, -139.29531343], shape=(68661,)),
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np.float64(169.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.24881957, -136.79693165], shape=(68661,)),
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23.24881957, -136.79693165], shape=(68661,)),
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np.float64(170.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.29063487, -134.49589881], shape=(68661,)),
'avg_v3_A': array([ 2.35967301, 57.40123325, 22.71441376, ..., 3.28257513,
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'avg_v2_B': array([ 36.16290546, 93.70896006, -131.33989001, ..., -38.36879514,
23.29063487, -134.49589881], shape=(68661,)),
'avg_v3_B': array([ 2.35967301, 57.40123325, 22.71441376, ..., 3.28257513,
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np.float64(171.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'avg_v3_A': array([ 2.94949165, 58.39907769, 21.96204997, ..., 2.66155946,
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23.32608696, -132.37700527], shape=(68661,)),
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np.float64(172.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.35517549, -130.42524161], shape=(68661,)),
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'avg_v2_B': array([ 36.07488618, 93.92051449, -130.81472084, ..., -38.44642909,
23.35517549, -130.42524161], shape=(68661,)),
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np.float64(173.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.3779003 , -128.6262123 ], shape=(68661,)),
'avg_v3_A': array([ 4.12714924, 60.39438586, 20.44843443, ..., 1.41805239,
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'avg_intensity_B': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
'avg_v2_B': array([ 36.01832638, 94.03783466, -130.56908015, ..., -38.47245658,
23.3779003 , -128.6262123 ], shape=(68661,)),
'avg_v3_B': array([ 4.12714924, 60.39438586, 20.44843443, ..., 1.41805239,
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np.float64(174.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.39426132, -126.9663832 ], shape=(68661,)),
'avg_v3_A': array([ 4.71475098, 61.39182273, 19.6874679 , ..., 0.79579435,
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23.39426132, -126.9663832 ], shape=(68661,)),
'avg_v3_B': array([ 4.71475098, 61.39182273, 19.6874679 , ..., 0.79579435,
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np.float64(175.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.40425865, -125.43320958], shape=(68661,)),
'avg_v3_A': array([ 5.30137569, 62.38909366, 18.92391194, ..., 0.17335513,
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'avg_v2_B': array([ 35.88001714, 94.29968954, -130.11062177, ..., -38.49898071,
23.40425865, -125.43320958], shape=(68661,)),
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np.float64(176.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.40789244, -124.01518178], shape=(68661,)),
'avg_v3_A': array([ 5.88690337, 63.38617985, 18.1578989 , ..., -0.44914906,
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23.40789244, -124.01518178], shape=(68661,)),
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np.float64(177.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.40516299, -122.70181654], shape=(68661,)),
'avg_v3_A': array([ 6.47121331, 64.3830596 , 17.38955739, ..., -1.07160209,
0.21987174, 66.90088007], shape=(68661,)),
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23.40516299, -122.70181654], shape=(68661,)),
'avg_v3_B': array([ 6.47121331, 64.3830596 , 17.38955739, ..., -1.07160209,
0.21987174, 66.90088007], shape=(68661,))},
np.float64(178.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.39607069, -121.48361461], shape=(68661,)),
'avg_v3_A': array([ 7.05418406, 65.37970766, 16.61901253, ..., -1.69388773,
0.61704607, 66.05363356], shape=(68661,)),
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23.39607069, -121.48361461], shape=(68661,)),
'avg_v3_B': array([ 7.05418406, 65.37970766, 16.61901253, ..., -1.69388773,
0.61704607, 66.05363356], shape=(68661,))},
np.float64(179.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.38061603, -120.3519988 ], shape=(68661,)),
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1.0140238 , 65.19567784], shape=(68661,)),
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23.38061603, -120.3519988 ], shape=(68661,)),
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1.0140238 , 65.19567784], shape=(68661,))},
np.float64(180.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.35879961, -119.29924251], shape=(68661,)),
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1.41070298, 64.32808998], shape=(68661,)),
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23.35879961, -119.29924251], shape=(68661,)),
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1.41070298, 64.32808998], shape=(68661,))},
np.float64(181.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.33062215, -118.31839504], shape=(68661,)),
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1.80698163, 63.45181771], shape=(68661,)),
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23.33062215, -118.31839504], shape=(68661,)),
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1.80698163, 63.45181771], shape=(68661,))},
np.float64(182.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.2960845 , -117.40320793], shape=(68661,)),
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2.20275774, 62.56769676], shape=(68661,)),
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23.2960845 , -117.40320793], shape=(68661,)),
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np.float64(183.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.25518764, -116.54806466], shape=(68661,)),
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2.59792923, 61.67646567], shape=(68661,))},
np.float64(184.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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2.99239393, 60.7787786 ], shape=(68661,)),
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2.99239393, 60.7787786 ], shape=(68661,))},
np.float64(185.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(186.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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23.09435424, -114.29487605], shape=(68661,)),
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np.float64(187.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(188.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.95536224, -113.01287939], shape=(68661,)),
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4.56113897, 57.13417599], shape=(68661,)),
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22.95536224, -113.01287939], shape=(68661,)),
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4.56113897, 57.13417599], shape=(68661,))},
np.float64(189.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.87634142, -112.42788571], shape=(68661,)),
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4.95053436, 56.2117584 ], shape=(68661,)),
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np.float64(190.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.79097414, -111.87650318], shape=(68661,)),
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np.float64(191.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.69926341, -111.3562644 ], shape=(68661,)),
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22.69926341, -111.3562644 ], shape=(68661,)),
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np.float64(192.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.60121267, -110.8649299 ], shape=(68661,)),
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22.60121267, -110.8649299 ], shape=(68661,)),
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6.11037829, 53.42297291], shape=(68661,))},
np.float64(193.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(194.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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6.87562464, 51.54848311], shape=(68661,)),
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'avg_v3_B': array([ 16.0963702 , 81.22967369, 4.08201547, ..., -11.53131234,
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np.float64(195.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.26906181, -109.54489015], shape=(68661,)),
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'avg_v2_B': array([ 32.59368491, 104.72791463, -127.66827777, ..., -36.87231212,
22.26906181, -109.54489015], shape=(68661,)),
'avg_v3_B': array([ 16.63689895, 82.20047047, 3.29063942, ..., -12.1324981 ,
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np.float64(196.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.14569524, -109.15055037], shape=(68661,)),
'avg_v3_A': array([ 17.17369052, 83.16291572, 2.49891409, ..., -12.73131591,
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22.14569524, -109.15055037], shape=(68661,)),
'avg_v3_B': array([ 17.17369052, 83.16291572, 2.49891409, ..., -12.73131591,
7.63351947, 49.66378056], shape=(68661,))},
np.float64(197.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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22.01601372, -108.77658445], shape=(68661,)),
'avg_v3_A': array([ 17.70659595, 84.11291184, 1.70693013, ..., -13.32763194,
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22.01601372, -108.77658445], shape=(68661,)),
'avg_v3_B': array([ 17.70659595, 84.11291184, 1.70693013, ..., -13.32763194,
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np.float64(198.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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21.88002424, -108.42170131], shape=(68661,)),
'avg_v3_A': array([ 18.23546428, 85.04329556, 0.91477781, ..., -13.92131056,
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21.88002424, -108.42170131], shape=(68661,)),
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8.38323266, 47.77026625], shape=(68661,))},
np.float64(199.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(200.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(201.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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21.43429039, -107.4601868 ], shape=(68661,)),
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9.49063979, 44.9159778 ], shape=(68661,)),
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21.43429039, -107.4601868 ], shape=(68661,)),
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9.49063979, 44.9159778 ], shape=(68661,))},
np.float64(202.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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21.27315603, -107.17072202], shape=(68661,)),
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9.85478112, 43.96129175], shape=(68661,)),
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21.27315603, -107.17072202], shape=(68661,)),
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9.85478112, 43.96129175], shape=(68661,))},
np.float64(203.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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21.10576206, -106.89530364], shape=(68661,)),
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10.21625083, 43.00515053], shape=(68661,)),
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21.10576206, -106.89530364], shape=(68661,)),
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10.21625083, 43.00515053], shape=(68661,))},
np.float64(204.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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20.93212135, -106.63314989], shape=(68661,)),
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10.57494406, 42.04764603], shape=(68661,)),
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10.57494406, 42.04764603], shape=(68661,))},
np.float64(205.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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20.75224802, -106.38353864], shape=(68661,)),
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10.93075587, 41.08886329], shape=(68661,)),
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10.93075587, 41.08886329], shape=(68661,))},
np.float64(206.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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11.28358121, 40.12888103], shape=(68661,)),
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20.5661575 , -106.14580222], shape=(68661,)),
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11.28358121, 40.12888103], shape=(68661,))},
np.float64(207.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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20.37386664, -105.91932259], shape=(68661,)),
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11.63331497, 39.16777235], shape=(68661,)),
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20.37386664, -105.91932259], shape=(68661,)),
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11.63331497, 39.16777235], shape=(68661,))},
np.float64(208.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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11.97985196, 38.20560514], shape=(68661,)),
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np.float64(209.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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19.97075898, -105.49788492], shape=(68661,)),
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12.32308699, 37.24244259], shape=(68661,)),
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np.float64(210.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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19.75998376, -105.30190301], shape=(68661,)),
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12.66291483, 36.27834363], shape=(68661,))},
np.float64(211.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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19.54309159, -105.11512358], shape=(68661,)),
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12.99923029, 35.31336323], shape=(68661,)),
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np.float64(212.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(213.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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13.6609035 , 33.38096056], shape=(68661,)),
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np.float64(214.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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np.float64(215.0): {'avg_intensity_A': array([0., 0., 0., ..., 0., 0., 0.], shape=(68661,)),
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'flux_boolean': defaultdict(dict,
{'F150W2_A': {'min_18.030454683190104_0.1': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
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True, True, True, True, True, True, False, False, False,
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True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True]),
'mean_44.16813805032401_0.2': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True])},
'flux_boolean_min_A': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, False, False, False,
False, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
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True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True]),
'F150W2_B': {'min_18.030454683190104_0.1': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
False, False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False,
False, False, False, False, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
False, False, False, False, False, False, False, False, False,
False, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, False, False, False,
True, True, True, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False,
False, False, False, False, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, False, False, False,
False, False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False,
True, True, True, True, True, True, True, True, True,
True, True, True, False, False, False, False, False, False,
False, True, True, True, True, True, False, False, False,
True, True, True, True, True, True, True, True, True,
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False, False, False, False, True, True, True, False, False,
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True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True]),
'mean_44.16813805032401_0.2': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, False, False, False, False, False, False, False, False,
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True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True])},
'flux_boolean_min_B': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
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True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
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True, True, True, True, True, True, True, True, True,
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False, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, False, False, False,
True, True, True, False, False, False, False, False, False,
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False, False, False, False, True, True, False, False, False,
False, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
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True, True, True, True, True, True, True, True, True,
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False, True, True, True, True, True, False, False, False,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, False, False, False, False, False,
False, False, False, False, True, True, True, False, False,
False, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True]),
'flux_boolean_mean_A': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
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True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True]),
'flux_boolean_mean_B': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
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True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True])})}
Each dictionary key contains specific information about the observation:
visit : pandas data frame containing informations about the visits in the observation
ra : Right ascension value of target
dec : Declination value of target
nircam_exposure_specification: Pandas dataframe of specifics instrument configurations for NRC exposures
nircam_templates : Pandas dataframe containing information on which visit uses which NRC detector module
valid_starts_angles : Numpy array containing the starting angles of sweeps with no claws
valid_ends_angles : Numpy array containing the ending angles of sweeps with no claws
exposure_frames : See docs for explanation
averages_A : Statistical averages for NRC module A (displayed in V3PA vs Flux plots) (if there is no A module data, this key won’t appear)
averages_B : Statistical averages for NRC module B (displayed in V3PA vs Flux plots) (if there is no B module data, this key won’t appear)
filters : Pandas Series containing filters used in observation
pupils Pandas Series containing pupils used in observation
flux Dictionary containing flux values at each position angle. The key names depend on filter and pupil combination and are in units of counts and dn_pix_ks
flux_boolean : dictionary containing boolean arrays. These arrays denote where flux values surpass or the statistical limits set.
Plotting Rogue Path Tool Results#
Exposure Level Valid Angle Plots#
The following cells show how to generate figures at the exposure level for which position angles contain claws. The target is centered in the figures with a red x, the pink circles are “bright” targets from the 2MASS Survey that have a k band magnitude less than 5. The plotted stars are selected by an annulus which can be parsed to the plotting function as keyword arguments inner_radius and outer_radius. By default they are set to inner_radius=8.0 and outer_radius=12.0 in arcseconds. The green “pie slices” or “wedges” are the angles where these targets fall in the susceptibility region which is represented by the light blue polygons overlayed on the targets. Where you don’t see wedges or the susceptibility region plotted
supported_observations = program.observations.supported_observations.keys()
for obs_number in supported_observations:
program.plot_exposures(program.observations.data[obs_number])
Observation Level Valid Angle Plots#
The following plotting method will show valid angle ranges across all exposures in a single observation. If angles ranges are valid in one exposure but not in others, it will not be shown at this level. Here we plot all of the supported observations in our program.
supported_observations = program.observations.supported_observations.keys()
for obs_number in supported_observations:
program.plot_observation(program.observations.data[obs_number])
Plotting a Single Angle of Attitude in V2 & V3 Space#
The figure below shows what the tool is searching for when sweeping angles. Here for a single angle we show the V2 & V3 space of the targets in our source catalog as well as the susceptibility region. The intensity of targets that fall in this region are dependent on the location where of the target in the susceptibility region and the brightness of the target.
from jwst_rogue_path_tool.plotting import plot_fixed_angle_regions
angles = np.arange(100, 106)
observation = program.observations.data[1]
for angle in angles:
plot_fixed_angle_regions(observation, angle)
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Flux as a Function of Attitude#
Below we show the calculated flux as a function of attitude angle. This figure also ties in the JWST Backgrounds Tool to calculate the background of the target JWST is observing described in the APT file. By default, we set the parameters for the backgrounds tool to calculate 10% of the minimum background value. You can set the function and percentage via a dictionary and pass it to the AptProgram class.
jbt_params = [{"threshold":0.1, function:np.min}, {"threshold":0.2, "function":np.mean}, ..... {"threshold":value, "function":stats_function}]
AptProgram(apt_JSON_filename, angular_step=1.0, bkg_params=jbt_params)
from jwst_rogue_path_tool.plotting import create_v3pa_vs_flux_plot
for obs_number in supported_observations:
create_v3pa_vs_flux_plot(program.observations.data[obs_number])
Reporting & Applying PA Constraints in APT#
In this section, we demonstrate how to plot the predicted claw flux across all position angles for a single observation, identify the angles free from claws, and modify the observation in APT to ensure it is taken only within those good position angle ranges.
# The observation number of interest
obs_number = 5
# Make plot of claws flux vs position angle
create_v3pa_vs_flux_plot(program.observations.data[obs_number])
# Make file containing good position angles
program.make_background_report(program.observations.data[obs_number], output_directory=pathlib.Path.cwd())
WROTE FILE TO: /home/runner/work/jdat_notebooks/jdat_notebooks/notebooks/NIRCam/NIRCam_claw_detection/0/valid_angle_reports/program_0_observation_5_background_module_B.txt
The plot above illustrates the predicted claw flux at each position angle for every filter. The horizontal orange and green lines indicate signal levels at 10% (based on minimum background throughout the year) and 20% (based on mean background throughout the year) of the predicted background levels, respectively. These thresholds help identify position angles free from claw contamination. Typically, the 20% threshold is sufficient, but for certain targets—such as faint, high-redshift objects—observers may prefer the more conservative 10% threshold. The PA ranges that are free from claws based on each threshold are saved to a text file, e.g. for this example observation program_0_observation_5_background_module_B.txt:
**** Ranges Not Impacted by Background Thresholds ****
**** Module B ****
**** Ranges Under 0.1 of min ****
PA Start -- PA End: 0 -- 80
PA Start -- PA End: 103 -- 115
PA Start -- PA End: 126 -- 157
PA Start -- PA End: 162 -- 163
PA Start -- PA End: 184 -- 221
PA Start -- PA End: 243 -- 253
PA Start -- PA End: 263 -- 265
PA Start -- PA End: 270 -- 300
PA Start -- PA End: 310 -- 312
PA Start -- PA End: 315 -- 359
**** Ranges Under 0.2 of mean ****
PA Start -- PA End: 0 -- 81
PA Start -- PA End: 92 -- 117
PA Start -- PA End: 124 -- 165
PA Start -- PA End: 178 -- 178
PA Start -- PA End: 183 -- 223
PA Start -- PA End: 235 -- 237
PA Start -- PA End: 240 -- 302
PA Start -- PA End: 308 -- 359
The PA ranges in this file are determined conservatively by considering all filters together. If the predicted claw flux in any filter exceeds the threshold, the corresponding position angle is excluded from these ranges.
Once the PA ranges free from claws are determined, users can add them to their APT files as a PA Special Requirement to ensure their observations are only taken within those PA ranges. To do this, select the observation in APT, then go to Special Requirement→Add→Position Angle→PA Range and input each good PA range in the V3PA Range boxes. Each PA range should be entered as a separate Special Requirement. For example, using the 20% threshold, the first Special Requirement for the example observation above would be:
Aperture PA Range 359.92542306 to 80.92542306 Degrees (V3 0.0 to 81.0)
Currently, the tool does not take into account target visibility, so some of the PA ranges shown may not need to be considered. For example, if a strong claw is predicted at a PA that is never available in the roll analysis, users don’t have to include Special Requirements to avoid that PA as it will never be used anyway. To check which PA ranges are actually available for a given visit, users can go to Visit Planner→Reports→Visitx.x→Total Roll Analysis For Visit.