astropy:docs

Source code for drizzle.doblot

from __future__ import division, print_function, unicode_literals, absolute_import

# THIRD-PARTY
import numpy as np

# LOCAL
from . import util
from . import calc_pixmap
#from . import cdrizzle

"""
STScI Python compatable blot module
"""

[docs]def doblot(source, source_wcs, blot_wcs, exptime, coeffs = True, interp='poly5', sinscl=1.0, stepsize=10, wcsmap=None): """ Low level routine for performing the 'blot' operation. Create a single blotted image from a single source image. The interface is compatible with STScI code. All distortion information is assumed to be included in the WCS specification of the 'output' blotted image given in 'blot_wcs'. Parameters ---------- source : 2d array Input numpy array of the source image in units of 'cps'. source_wcs : wcs The source image WCS. blot_wcs : wcs The blotted image WCS. The WCS that the source image will be resampled to. exptime : float The exposure time of the input image. interp : str, optional The type of interpolation used in the blotting. The possible values are "nearest" (nearest neighbor interpolation), "linear" (bilinear interpolation), "poly3" (cubic polynomial interpolation), "poly5" (quintic polynomial interpolation), "sinc" (sinc interpolation), "lan3" (3rd order Lanczos interpolation), and "lan5" (5th order Lanczos interpolation). sincscl : float, optional The scaling factor for sinc interpolation. Returns ------- A 2d numpy array with the blotted image Other Parameters ---------------- coeffs : bool, optional Not used. Only kept for backwards compatibility. stepsize : float, optional Was used when input to output mapping was computed internally. Is no longer used and only here for backwards compatibility. wcsmap : function, optional Was used when input to output mapping was computed internally. Is no longer used and only here for backwards compatibility. """ _outsci = np.zeros((blot_wcs._naxis2,blot_wcs._naxis1),dtype=np.float32) # compute the undistorted 'natural' plate scale wcslin = blot_wcs blot_wcs.sip = None blot_wcs.cpdis1 = None blot_wcs.cpdis2 = None blot_wcs.det2im = None pixmap = calc_pixmap.calc_pixmap(blot_wcs, source_wcs) pix_ratio = source_wcs.pscale/blot_wcs.pscale cdrizzle.tblot(source, pixmap, _outsci, scale=pix_ratio, kscale=1.0, interp=interp, exptime=exptime, misval=0.0, sinscl=sinscl) return _outsci

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