Wildcard Handling with Astroquery.mast

Wildcard Handling with Astroquery.mast#

Learning Goals#

By the end of this tutorial, you will:

Use the wildcards available for astroquery.mast.Observations criteria queries
Broaden and refine astroquery.mast.Observations criteria queries
Fully utilize the instrument_name criteria, especially for JWST queries
Query for moving targets using target ephemeris and time criteria such as t_min and t_max

Introduction#

This Notebook demonstrates the use of wildcards in astroquery.mast.Observations criteria queries. The use of wildcards is encouraged for certain criteria types (namely, string object types) to ensure your query returns all results.

We will demonstrate 3 use-cases for wildcards when doing criteria queries and emphasize certain criteria where wildcard usage is highly encouraged, particularly for JWST queries. We will also use the last example to demonstrate the use of value ranges when working with float object criteria types.

The workflow for this notebook consists of:

Wildcard overview with astroquery.mast.Observations
1. Wildcard Search with instrument_name
2. Wildcard Search with instrument_name and proposal_id
3. Wildcard Search a Time-sensitive Object with target_name and t_min
Resources

Imports#

import astropy.units as u
import matplotlib.pyplot as plt

from astropy.coordinates import SkyCoord
from astropy.table import Table, unique, vstack
from astropy.time import Time
from astroquery.mast import Observations

Wildcards with `astroquery.mast.Observations`#

The use of wildcards when making astroquery.mast.Observations queries can help ensure you retrieve all observations without leaving anything out. The available wildcards are % and *: % replaces a single character, while * replaces more than one character preceding, following, or in between the existing characters, depending on its placement. See the Observation Criteria Queries section in the astroquery.mast documentation for more information on the wildcards.

Wildcards are only available for certain criteria. string type objects accept wildcards, but float, integer, or any other objects do not accept wildcards.

Users may call the get_metadata method to see the list of query criteria and their data types. The criteria listed as string objects under the Data Type column are criteria that can be called with wildcards:

Observations.get_metadata("observations")

Table length=34

Column Name	Column Label	Data Type	Units	Description	Examples/Valid Values
str21	str25	str7	str10	str72	str116
intentType	Observation Type	string		Whether observation is for science or calibration.	Valid values: science, calibration
obs_collection	Mission	string		Collection	E.g. SWIFT, PS1, HST, IUE
provenance_name	Provenance Name	string		Provenance name, or source of data	E.g. TASOC, CALSTIS, PS1
instrument_name	Instrument	string		Instrument Name	E.g. WFPC2/WFC, UVOT, STIS/CCD
project	Project	string		Processing project	E.g. HST, HLA, EUVE, hlsp_legus
filters	Filters	string		Instrument filters	F469N, NUV, FUV, LOW DISP, MIRROR
wavelength_region	Waveband	string		Energy Band	EUV, XRAY, OPTICAL
target_name	Target Name	string		Target Name	Ex. COMET-67P-CHURYUMOV-GER-UPDATE
target_classification	Target Classification	string		Type of target	Ex. COMET;COMET BEING ORBITED BY THE ROSETTA SPACECRAFT;SOLAR SYSTEM
...	...	...	...	...	...
s_region	s_region	string	ICRS Shape	STC/S Footprint	Will be ICRS circle or polygon. E.g. CIRCLE ICRS 17.71740689 -58.40043015 0.625
jpegURL	jpegURL	string		Preview Image URL	https://archive.stsci.edu/hst/previews/N4QF/N4QF18090.jpg
distance	Distance (")	float	arcsec	Angular separation between searched coordinates and center of obsevation
obsid	Product Group ID	integer		Database identifier for obs_id	Long integer, e.g. 2007590987
dataRights	Data Rights	string		Data Rights	valid values: public,exclusive_access,restricted
mtFlag	Moving Target	boolean		Moving Target Flag	If True, observation contains a moving target, if False or absent observation may or may not contain a moving target
srcDen	Number of Catalog Objects	float		Number of cataloged objects found in observation
dataURL	Data URL	string		Data URL
proposal_type	Proposal Type	string		Type of telescope proposal	Eg. 3PI, GO, GO/DD, HLA, GII, AIS
sequence_number	Sequence Number	integer		Sequence number, e.g. Kepler quarter or TESS sector

Case 1: Wildcard Search with `instrument_name`#

For our first example we will search for all NIRISS observations taken by a certain proposal/program PI. Our two query criteria are proposal_pi and instrument_name, which are both string object criteria. As such, both can be wildcarded for ease of use.

In fact, it is sometimes necessary to use wildcards when searching on instrument_name. Both HST and JWST use instrument configurations in this field to allow for more precise advanced searches (e.g. NIRISS/IMAGE and STIS/FUV-MAMA). When performing a “generic” search, you must include a wildcard or these more detailed results will be excluded.

We will demonstrate this by looking at the results for the query below:

observations = Observations.query_criteria(proposal_pi="Espinoza, Nestor",
                                           instrument_name="NIRISS*")
observations

Table masked=True length=234

intentType	obs_collection	provenance_name	instrument_name	project	filters	wavelength_region	target_name	target_classification	obs_id	s_ra	s_dec	dataproduct_type	proposal_pi	calib_level	t_min	t_max	t_exptime	em_min	em_max	obs_title	t_obs_release	proposal_id	proposal_type	sequence_number	s_region	jpegURL	dataURL	dataRights	mtFlag	srcDen	obsid	objID
str7	str4	str7	str12	str4	str13	str8	str14	str54	str50	float64	float64	str10	str16	int64	float64	float64	float64	float64	float64	str70	float64	str4	str3	int64	str132	str80	str81	str16	bool	float64	str9	str9
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_0210h_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.661724637386	59688.665328414354	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.079361272 19.219997306 124.088204918 19.256195264 124.126749247 19.247627141 124.117926871 19.211434025	mast:JWST/product/jw01541005001_0210h_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_0210h_00001_nis_rateints.fits	PUBLIC	False	nan	79661376	733199805
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_0210v_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.69811052859	59688.70171430556	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.070680154 19.221940542 124.079522008 19.258138913 124.118067242 19.249572589 124.109246657 19.213379062	mast:JWST/product/jw01541005001_0210v_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_0210v_00001_nis_rateints.fits	PUBLIC	False	nan	79661402	733199880
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_0210b_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.646151315625	59688.64975509259	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.080801154 19.213559815 124.089644763 19.249757705 124.128187507 19.241189289 124.119365169 19.20499624	mast:JWST/product/jw01541005001_0210b_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_0210b_00001_nis_rateints.fits	PUBLIC	False	nan	79661433	733199936
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_0210p_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.682512021645	59688.68611579861	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.072120417 19.215503156 124.080962242 19.251701457 124.119505889 19.243134834 124.110685335 19.206941375	mast:JWST/product/jw01541005001_0210p_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_0210p_00001_nis_rateints.fits	PUBLIC	False	nan	79661458	733199999
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_0210n_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.677321651274	59688.68092542824	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.075014085 19.214855403 124.083856539 19.25105356 124.122399877 19.242486306 124.113578694 19.206292991	mast:JWST/product/jw01541005001_0210n_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_0210n_00001_nis_rateints.fits	PUBLIC	False	nan	79661490	733200051
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_0210t_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.69290682489	59688.696510601854	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.073573871 19.221292827 124.082416316 19.257491062 124.12096125 19.248924145 124.112140074 19.212730753	mast:JWST/product/jw01541005001_0210t_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_0210t_00001_nis_rateints.fits	PUBLIC	False	nan	79661522	733200120
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_0210x_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.70328903553	59688.7068928125	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.069953497 19.219045681 124.078795054 19.255244082 124.117339642 19.246677893 124.108519354 19.210484334	mast:JWST/product/jw01541005001_0210x_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_0210x_00001_nis_rateints.fits	PUBLIC	False	nan	79661542	733200173
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_02101_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.62006541285	59688.623669189816	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.08369426 19.212911861 124.092538264 19.249109658 124.131080754 19.240540834 124.122258022 19.204347878	mast:JWST/product/jw01541005001_02101_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_02101_00001_nis_rateints.fits	PUBLIC	False	nan	79661575	733200230
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	ECLIPTIC-RA80	Calibration; External flat field	jw01541005001_02103_00001_nis	124.10089166666668	19.23126111111111	image	Espinoza, Nestor	2	59688.62538689433	59688.6289906713	300.63	600.0	2800.0	NIRISS Sensitivity and Stability for Transiting Exoplanet Observations	59774.8541666	1541	COM	--	POLYGON 124.084421799 19.215806744 124.093266409 19.252004442 124.131809472 19.243435191 124.122986133 19.207242333	mast:JWST/product/jw01541005001_02103_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01541005001_02103_00001_nis_rateints.fits	PUBLIC	False	nan	79661598	733200276
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
science	JWST	CALJWST	NIRISS/SOSS	JWST	F480M	INFRARED	BD+60-1753	Star; A dwarfs	jw01512003001_02101_00004_nis	261.2178777050174	60.43078853297545	image	Espinoza, Nestor	2	59996.00529503472	59996.005303460646	0.683	4600.0	5000.0	SOSS Wavelength and Trace	59996.22332179	1512	CAL	--	POLYGON 261.218583699 60.430047681 261.216374892 60.430470734 261.217218009 60.431553546 261.219427079 60.431130459	mast:JWST/product/jw01512003001_02101_00004_nis_cal.jpg	mast:JWST/product/jw01512003001_02101_00004_nis_cal.fits	PUBLIC	False	nan	117933686	737830022
science	JWST	CALJWST	NIRISS/SOSS	JWST	F480M	INFRARED	BD+60-1753	Star; A dwarfs	jw01512003001_02101_00001_nis	261.21787770496906	60.43078853295712	image	Espinoza, Nestor	2	59995.99888540509	59995.99889383102	0.683	4600.0	5000.0	SOSS Wavelength and Trace	59996.22369211	1512	CAL	--	POLYGON 261.218608459 60.430036846 261.216399664 60.430459912 261.217242807 60.43154272 261.219451865 60.431119619	mast:JWST/product/jw01512003001_02101_00001_nis_cal.jpg	mast:JWST/product/jw01512003001_02101_00001_nis_cal.fits	PUBLIC	False	nan	117933667	737830036
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	BD+60-1753	Star; A dwarfs	jw01512003001_03101_00001_nis	261.21787770503	60.43078853298023	image	Espinoza, Nestor	2	59996.006908877316	59996.00703605324	5.494	600.0	2800.0	SOSS Wavelength and Trace	59996.06799767	1512	CAL	--	POLYGON 261.252812005 60.462625558 261.225202062 60.427083893 261.208742612 60.430236211 261.236320034 60.465785632	mast:JWST/product/jw01512003001_03101_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01512003001_03101_00001_nis_rateints.fits	PUBLIC	False	nan	117933687	737830047
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	BD+60-1753	Star; A dwarfs	jw01512003001_03102_00001_nis	261.2178777050461	60.430788532986334	image	Espinoza, Nestor	2	59996.00783548611	59996.01037900463	164.82	600.0	2800.0	SOSS Wavelength and Trace	59996.06317129	1512	CAL	--	POLYGON 261.252812349 60.462625738 261.225202494 60.427084057 261.208743037 60.430236364 261.23632037 60.465785803	mast:JWST/product/jw01512003001_03102_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01512003001_03102_00001_nis_rateints.fits	PUBLIC	False	nan	117933688	737830059
science	JWST	CALJWST	NIRISS/SOSS	JWST	F480M	INFRARED	BD+60-1753	Star; A dwarfs	jw01512002001_02101_00001_nis	261.2178777048343	60.43078853290603	image	Espinoza, Nestor	2	59995.98101357639	59995.981022002314	0.683	4600.0	5000.0	SOSS Wavelength and Trace	59996.18175925	1512	CAL	--	POLYGON 261.218611229 60.43003597 261.216402689 60.430459359 261.217246483 60.431542043 261.219455287 60.431118619	mast:JWST/product/jw01512002001_02101_00001_nis_cal.jpg	mast:JWST/product/jw01512002001_02101_00001_nis_cal.fits	PUBLIC	False	nan	117933629	738677988
science	JWST	CALJWST	NIRISS/SOSS	JWST	F480M	INFRARED	BD+60-1753	Star; A dwarfs	jw01512002001_02101_00004_nis	261.2178777048824	60.43078853292429	image	Espinoza, Nestor	2	59995.98740097222	59995.98740939815	0.683	4600.0	5000.0	SOSS Wavelength and Trace	59996.18133101	1512	CAL	--	POLYGON 261.218583741 60.430047673 261.216375205 60.430471068 261.217219012 60.43155375 261.219427811 60.43113032	mast:JWST/product/jw01512002001_02101_00004_nis_cal.jpg	mast:JWST/product/jw01512002001_02101_00004_nis_cal.fits	PUBLIC	False	nan	117933631	738677997
science	JWST	CALJWST	NIRISS/SOSS	JWST	F480M	INFRARED	BD+60-1753	Star; A dwarfs	jw01512002001_02101_00003_nis	261.21787770484724	60.43078853291094	image	Espinoza, Nestor	2	59995.98273135417	59995.98273978009	0.683	4600.0	5000.0	SOSS Wavelength and Trace	59996.18243051	1512	CAL	--	POLYGON 261.218450695 60.430086083 261.216242156 60.430509478 261.217085963 60.43159216 261.219294765 60.43116873	mast:JWST/product/jw01512002001_02101_00003_nis_cal.jpg	mast:JWST/product/jw01512002001_02101_00003_nis_cal.fits	PUBLIC	False	nan	117933632	738678003
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	BD+60-1753	Star; A dwarfs	jw01512002001_03101_00001_nis	261.21787770489516	60.4307885329291	image	Espinoza, Nestor	2	59995.98902444445	59995.98915162037	5.494	600.0	2800.0	SOSS Wavelength and Trace	59996.02287034	1512	CAL	--	POLYGON 261.25283293 60.462620181 261.22520026 60.427082814 261.208742825 60.430237693 261.236342987 60.465782822	mast:JWST/product/jw01512002001_03101_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01512002001_03101_00001_nis_rateints.fits	PUBLIC	False	nan	117933633	738678016
science	JWST	CALJWST	NIRISS/SOSS	JWST	F480M	INFRARED	BD+60-1753	Star; A dwarfs	jw01512002001_02101_00002_nis	261.2178777048407	60.430788532908466	image	Espinoza, Nestor	2	59995.98186616898	59995.98187459491	0.683	4600.0	5000.0	SOSS Wavelength and Trace	59996.18305556	1512	CAL	--	POLYGON 261.218488089 60.429982383 261.216279555 60.430405777 261.217123358 60.431488459 261.219332154 60.43106503	mast:JWST/product/jw01512002001_02101_00002_nis_cal.jpg	mast:JWST/product/jw01512002001_02101_00002_nis_cal.fits	PUBLIC	False	nan	117933634	738678023
science	JWST	CALJWST	NIRISS/IMAGE	JWST	CLEAR;GR700XD	INFRARED	BD+60-1753	Star; A dwarfs	jw01512002001_03102_00001_nis	261.21787770491125	60.4307885329352	image	Espinoza, Nestor	2	59995.98995106482	59995.99249458333	164.82	600.0	2800.0	SOSS Wavelength and Trace	59996.02337956	1512	CAL	--	POLYGON 261.25283321 60.46262025 261.225200729 60.427082848 261.208743277 60.430237705 261.236343249 60.46578287	mast:JWST/product/jw01512002001_03102_00001_nis_trapsfilled.jpg	mast:JWST/product/jw01512002001_03102_00001_nis_rateints.fits	PUBLIC	False	nan	117933635	738678034

Our query returned many NIRISS observations led by the PI Dr. Espinoza. Let’s get all the unique values under the instrument_name column to see what our * wildcard picked up.

set(observations['instrument_name'])

{np.str_('NIRISS/IMAGE'), np.str_('NIRISS/SOSS')}

Our observations have the advanced labeling; had we simply set instrument_name = "NIRISS", we would have missed several observations. For more details on this advanced labeling, see the JWST Instrument Names page.

A note of caution: There is such a thing as too many wildcards#

You can be too generous with the wildcards, so be sure to exercise caution in their use. Too much ambiguity can lead to unintended results. Let’s take a look at our example below.

observations = Observations.query_criteria(proposal_pi='Espinoza, Nestor',
                                           instrument_name='NIR*') # Surely only one instrument begins with 'NIR'
set(observations['instrument_name'])

{np.str_('NIRISS/IMAGE'), np.str_('NIRISS/SOSS'), np.str_('NIRSPEC/SLIT')}

This query returns NIRSPEC/SLIT observations in addition to the NIRISS ones, which is not what we intended.

Case 2: Wildcard Search with `instrument_name` and `proposal_id`#

Let’s add an additional string criterion and wildcard into the mix. We’ll do this with the proposal_id field which, despite its numeric content, is encoded as a string.

Let’s query for a four digit proposal/program IDs that begin with 15.

observations = Observations.query_criteria(proposal_pi='Espinoza, Nestor',
                                           instrument_name='NIRISS*',
                                           proposal_id=['15%%']) # Only a four digit result will match this

set(observations['proposal_id']), set(observations['instrument_name'])

({np.str_('1512'), np.str_('1541')},
 {np.str_('NIRISS/IMAGE'), np.str_('NIRISS/SOSS')})

Case 3: Create a Moving Target Ephemeris using MAST Observations with Wildcard Search#

We will be querying for image observations of Comet 67P Churyumov-Gerasimenko observed through the Hubble Space Telescope’s Advanced Camera for Surveys (ACS) Wide Field Camera (WFC). This comet’s name can be listed in different ways, so we will use * wildcards in our criteria query.

observations = Observations.query_criteria(target_name="*67P*",
                                           instrument_name="ACS/WFC")

print(f"{len(observations)} total observations" + "\n")
print("Listed target names:")
print(set(observations['target_name']))

140 total observations

Listed target names:
{np.str_('COMET-67P-CHURYUMOV-GERASIMENK'), np.str_('COMET-67P-CHURYUMOV-GER-UPDATE')}

Above there are two names we get for Comet-67P. You should exercise caution when searching on the target_name criteria, since this is often entered by the PI who proposed the observation and can vary from person to person.

In the remainder of this notebook, we will construct a bare-bones ephemeris using the filtered MAST observations of this object and their metadata. We will then do some reverse engineering to query for the target based on coordinates using the ephemeris table, and hope that we get the same results back! Let’s begin:

For simplicity, let’s work only with the 'COMET-67P-CHURYUMOV-GERASIMENK' observations to create our ephemeris.

mask = observations["target_name"] == "COMET-67P-CHURYUMOV-GERASIMENK"
filtered_observations = observations[mask]
filtered_observations

Table masked=True length=70

intentType	obs_collection	provenance_name	instrument_name	project	filters	wavelength_region	target_name	target_classification	obs_id	s_ra	s_dec	dataproduct_type	proposal_pi	calib_level	t_min	t_max	t_exptime	em_min	em_max	obs_title	t_obs_release	proposal_id	proposal_type	sequence_number	s_region	jpegURL	dataURL	dataRights	mtFlag	srcDen	obsid	objID
str7	str3	str6	str7	str3	str12	str7	str30	str89	str36	float64	float64	str5	str14	int64	float64	float64	float64	float64	float64	str119	float64	str5	str3	int64	str2243	str86	str35	str6	bool	float64	str8	str9
science	HST	CALACS	ACS/WFC	HST	F606W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET-67P-CHURYUMOV-GERASIMENKO WHICH IS THE PRIMARY TARGET FOR ROSETTA SPACECRAFT	jcis02010	281.1070302812	-31.0066887554	image	Hines, Dean C.	3	56888.26101200232	56888.48685717593	9600.0	470.0	720.0	Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Supporting the Rosetta Mission	57253.60605318	13863	GO	--	POLYGON -78.905924930000026 -31.02423579 -78.87427893 -31.0173634 -78.8800066 -30.98912327 -78.882365737150309 -30.989635932676503 -78.882504439999991 -30.98895186 -78.889317083503954 -30.990432181918216 -78.889530770000022 -30.98937778 -78.891752852813568 -30.989860489154527 -78.891883689999986 -30.98921489 -78.899628421871924 -30.990897116662392 -78.9001551 -30.98829685 -78.902371489060187 -30.988778129799261 -78.90250218 -30.98813288 -78.909141342406116 -30.989574421562239 -78.909719680000023 -30.98671762 -78.911930371781551 -30.987197501880228 -78.91206093 -30.98655257 -78.943699260000017 -30.99341636 -78.937989440000024 -31.02165911 -78.935778550730731 -31.021179788693974 -78.935648239999978 -31.02182416 -78.929005954826081 -31.020383985804244 -78.928427829999976 -31.02324132 -78.926211233460563 -31.02276060029919 -78.926080790000015 -31.02340529 -78.918332079103052 -31.0217246209393 -78.91780553000001 -31.02432554 -78.9155832393156 -31.023843392393292 -78.91545265000002 -31.02448843 -78.9086363989854 -31.023009444135333 -78.908422719999976 -31.02406438 -78.906063370071536 -31.023552312315246 -78.905924930000026 -31.02423579 -78.905924930000026 -31.02423579	mast:HST/product/jcis02010_drz.jpg	mast:HST/product/jcis02010_drz.fits	PUBLIC	True	nan	24839229	743573585
science	HST	CALACS	ACS/WFC	HST	F606W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET-67P-CHURYUMOV-GERASIMENKO WHICH IS THE PRIMARY TARGET FOR ROSETTA SPACECRAFT	jcis04020	290.2770693515	-28.02111499969	image	Hines, Dean C.	3	56977.45820188658	56977.611049039355	6280.0	470.0	720.0	Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Supporting the Rosetta Mission	57342.94112256	13863	GO	--	POLYGON -69.68999134 -28.03180292 -69.690000793261078 -28.0314964187349 -69.68653658 -28.03117872 -69.686564584120333 -28.03027073277142 -69.683764119999978 -28.03001384 -69.6838006065022 -28.028831798853574 -69.67044575 -28.02760593 -69.670481996731183 -28.026436279688706 -69.666591489999973 -28.02607881 -69.666601003399478 -28.025772506303237 -69.663133870000024 -28.02545393 -69.664023900000018 -27.99678969 -69.695551850000015 -27.99968392 -69.695542411269713 -27.999990871866526 -69.69900966 -28.0003088 -69.6989737114984 -28.001477839264155 -69.702862620000019 -28.00183422 -69.702826356326327 -28.00301616323647 -69.716178669999977 -28.00423892 -69.716150921131742 -28.005146940581007 -69.718950740000025 -28.00540317 -69.718941361850952 -28.005710310378014 -69.722405690000016 -28.00602736 -69.722395728297926 -28.006353608328851 -69.735389909999981 -28.00754168 -69.7353798073961 -28.007874214140372 -69.739126740000017 -28.00821667 -69.73825566 -28.03688132 -69.70671568 -28.03399601 -69.706725863943035 -28.033664169692418 -69.70297905000001 -28.03332102 -69.702989071877354 -28.032994456845575 -69.68999134 -28.03180292 -69.68999134 -28.03180292	mast:HST/product/jcis04020_drz.jpg	mast:HST/product/jcis04020_drz.fits	PUBLIC	True	nan	24839232	741030402
science	HST	CALACS	ACS/WFC	HST	F775W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET-67P-CHURYUMOV-GERASIMENKO WHICH IS THE PRIMARY TARGET FOR ROSETTA SPACECRAFT	jcis06010	290.9112348543	-27.90621726673	image	Hines, Dean C.	3	56979.505933368055	56979.51200949074	300.0	690.0	860.0	Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Supporting the Rosetta Mission	57344.94012718	13863	GO	--	POLYGON -69.07205442999998 -27.91834206 -69.072058317717648 -27.918294549551291 -69.070418239999981 -27.91807766 -69.072739870000021 -27.88970302 -69.103821919999973 -27.89381052 -69.103818044368452 -27.893858065783444 -69.105458039999974 -27.89407459 -69.103144859999986 -27.92244975 -69.07205442999998 -27.91834206 -69.07205442999998 -27.91834206	mast:HST/product/jcis06010_drz.jpg	mast:HST/product/jcis06010_drz.fits	PUBLIC	True	nan	24839235	738724710
science	HST	CALACS	ACS/WFC	HST	F606W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET BEING ORBITED BY THE ROSETTA SPACECRAFT	jcz302010	149.0210592664	17.79521475611	image	Hines, Dean C.	3	57306.00024725695	57306.02970309028	1868.0	470.0	720.0	Post-Perihelion Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Continued Support of the Rosetta Mission	57672.2263889	14261	GO	--	POLYGON 149.05898205 17.79748171 149.05396387760246 17.799381902109118 149.05409679 17.79964078 149.04813166312613 17.801899341627337 149.04814366 17.80192271 149.02083733 17.81225854 149.02015424058055 17.810927544842077 149.01400423 17.81325475 149.00078955 17.78750012 149.02809307 17.77716698 149.02863132569428 17.778215844015303 149.04576215 17.77173013 149.05898205 17.79748171 149.05898205 17.79748171	mast:HST/product/jcz302010_drz.jpg	mast:HST/product/jcz302010_drz.fits	PUBLIC	True	nan	25001891	738758828
science	HST	CALACS	ACS/WFC	HST	F606W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET-67P-CHURYUMOV-GERASIMENKO WHICH IS THE PRIMARY TARGET FOR ROSETTA SPACECRAFT	jcis05020	290.5842080034	-27.96554445143	image	Hines, Dean C.	3	56978.454278206016	56978.60601420139	6280.0	470.0	720.0	Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Supporting the Rosetta Mission	57343.75185176	13863	GO	--	POLYGON -69.38324793999999 -27.97644 -69.38325337699672 -27.976084633770142 -69.37975694 -27.975807 -69.379771610697432 -27.974848106719922 -69.376938269999982 -27.97462306 -69.376959271556942 -27.973252682572433 -69.363480320000008 -27.97218126 -69.363499179187144 -27.970960544973902 -69.35957473000002 -27.97064824 -69.35958024246527 -27.970293021520565 -69.35608091 -27.97001454 -69.356525560000023 -27.94135352 -69.388067579999984 -27.94386099 -69.388062164224209 -27.944216860866497 -69.391561589999981 -27.94449469 -69.391543021733554 -27.945714773910108 -69.39546565 -27.94602599 -69.395444888234721 -27.947396421736535 -69.408921220000025 -27.94846475 -69.408906811818213 -27.9494236609726 -69.41173950000001 -27.94964805 -69.411734159831681 -27.950004069145866 -69.415230679999979 -27.95028105 -69.415223505589069 -27.950759354159036 -69.427996080000014 -27.95177004 -69.427990357442667 -27.952155441892863 -69.431772200000012 -27.95245457 -69.431346519999977 -27.98111569 -69.399792699999978 -27.97861726 -69.399798527580231 -27.97823255633358 -69.396016780000025 -27.97793273 -69.39602403128157 -27.97745404126006 -69.38324793999999 -27.97644 -69.38324793999999 -27.97644	mast:HST/product/jcis05020_drz.jpg	mast:HST/product/jcis05020_drz.fits	PUBLIC	True	nan	24839234	747043545
science	HST	CALACS	ACS/WFC	HST	F606W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET-67P-CHURYUMOV-GERASIMENKO WHICH IS THE PRIMARY TARGET FOR ROSETTA SPACECRAFT	jcis01010	281.2558788729	-31.01619293249	image	Hines, Dean C.	3	56887.26573422454	56887.49156755787	7200.0	470.0	720.0	Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Supporting the Rosetta Mission	57252.60829852	13863	GO	--	POLYGON -78.756865950000019 -31.03386473 -78.72529176 -31.02670072 -78.731368569999972 -30.9985026 -78.733805750513454 -30.9990559361688 -78.733958120000011 -30.99834869 -78.740986132787157 -30.99994418656815 -78.741227330000015 -30.9988241 -78.743523208857965 -30.999345171906345 -78.743666940000026 -30.9986777 -78.751640936670128 -31.000487279621648 -78.752215089999993 -30.99781954 -78.754505385727953 -30.998339146989291 -78.75464896 -30.99767203 -78.761518775521665 -30.999230471627669 -78.762147550000009 -30.99630741 -78.764432262131379 -30.996825567137762 -78.764575690000015 -30.99615878 -78.796142359999976 -31.00331385 -78.79008367 -31.03151488 -78.787798738721818 -31.030997298944033 -78.787655570000027 -31.0316635 -78.780782261578381 -31.030106426334836 -78.780153620000021 -31.03303019 -78.777863106729612 -31.032511160972405 -78.777719789999992 -31.0331777 -78.769741953915457 -31.031369732821123 -78.76916795 -31.03403788 -78.766871853092809 -31.033517388181245 -78.766728380000018 -31.03418428 -78.759696670679176 -31.032590149820496 -78.759455460000027 -31.03371081 -78.757018048375642 -31.033158086745466 -78.756865950000019 -31.03386473 -78.756865950000019 -31.03386473	mast:HST/product/jcis01010_drz.jpg	mast:HST/product/jcis01010_drz.fits	PUBLIC	True	nan	24839228	741030366
science	HST	CALACS	ACS/WFC	HST	F775W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET-67P-CHURYUMOV-GERASIMENKO WHICH IS THE PRIMARY TARGET FOR ROSETTA SPACECRAFT	jcis04010	290.2735685756	-28.02183037337	image	Hines, Dean C.	3	56977.44858376157	56977.454660219904	300.0	690.0	860.0	Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Supporting the Rosetta Mission	57342.8724883	13863	GO	--	POLYGON -69.710339019999992 -28.03460849 -69.710342387468657 -28.034498772208945 -69.708739630000025 -28.03435188 -69.70961256999999 -28.00591362 -69.740906 -28.00877878 -69.740902662524562 -28.008888572547743 -69.742505129999984 -28.0090351 -69.74164077 -28.03747355 -69.710339019999992 -28.03460849 -69.710339019999992 -28.03460849	mast:HST/product/jcis04010_drz.jpg	mast:HST/product/jcis04010_drz.fits	PUBLIC	True	nan	24839231	738724725
science	HST	CALACS	ACS/WFC	HST	F606W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET-67P-CHURYUMOV-GERASIMENKO WHICH IS THE PRIMARY TARGET FOR ROSETTA SPACECRAFT	jcis03010	280.9542165962	-30.99542663878	image	Hines, Dean C.	3	56889.322632372685	56889.548465706015	9600.0	470.0	720.0	Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Supporting the Rosetta Mission	57254.78804398	13863	GO	--	POLYGON -79.05840738 -31.01316703 -79.026878020000026 -31.00584488 -79.033151780000026 -30.97766767 -79.035392031871083 -30.978188257438966 -79.035550100000023 -30.97747812 -79.042032257876684 -30.978984322746957 -79.04228344 -30.97785538 -79.044393200704519 -30.978345489210106 -79.044542289999981 -30.9776754 -79.0519318160874 -30.979391859188709 -79.052526699999987 -30.97671682 -79.054630711213818 -30.97720541840804 -79.054779619999977 -30.9765358 -79.0610665098948 -30.977995640936911 -79.061717779999981 -30.97506566 -79.0638160189322 -30.975552764251791 -79.063964759999976 -30.97488358 -79.09548675000002 -30.9821973 -79.089230410000027 -31.01037747 -79.087131972414525 -31.009890899345596 -79.086983480000015 -31.01055955 -79.080693324737766 -31.009100920228253 -79.08004225000002 -31.01203134 -79.077938041505035 -31.011543277238278 -79.077789380000013 -31.01221237 -79.070396015373021 -31.010497338548994 -79.06980123 -31.01317303 -79.067691267708852 -31.012683456849597 -79.06754243 -31.013353 -79.061056825969644 -31.011848027080774 -79.060805640000012 -31.0129775 -79.058565179306754 -31.012457479047875 -79.05840738 -31.01316703 -79.05840738 -31.01316703	mast:HST/product/jcis03010_drz.jpg	mast:HST/product/jcis03010_drz.fits	PUBLIC	True	nan	24839230	747064813
science	HST	CALACS	ACS/WFC	HST	F606W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	COMET; COMET-67P-CHURYUMOV-GERASIMENKO WHICH IS THE PRIMARY TARGET FOR ROSETTA SPACECRAFT	jcis06020	290.9147892768	-27.90546497065	image	Hines, Dean C.	3	56979.51550486111	56979.66734533565	6280.0	470.0	720.0	Imaging Polarimetry of the 67P/Churyumov-Gerasimenko with ACS: Supporting the Rosetta Mission	57344.94447902	13863	GO	--	POLYGON -69.051552329999993 -27.91547868 -69.051566623053915 -27.915304522529482 -69.048023170000022 -27.91483611 -69.048086300262 -27.914066875478145 -69.045198070000026 -27.91368501 -69.045253211462011 -27.913013321787403 -69.031596869999987 -27.91120688 -69.031681552501226 -27.910176912272057 -69.027714189999983 -27.90965175 -69.02772849552359 -27.909477898544647 -69.024182240000016 -27.90900847 -69.02653583 -27.88039823 -69.057861839999987 -27.88454222 -69.057847539106191 -27.884716718646743 -69.06139399 -27.88518549 -69.06130963442007 -27.88621477953863 -69.065275460000009 -27.88673877 -69.0652204552501 -27.887410472053556 -69.078874509999991 -27.8892136 -69.078813220742 -27.889963190045712 -69.098235400000021 -27.89252561 -69.098220005459254 -27.892714303389873 -69.102038349999987 -27.89321784 -69.099703449999993 -27.92182943 -69.082889846828763 -27.919611642662879 -69.082889340000008 -27.91961784 -69.051552329999993 -27.91547868 -69.051552329999993 -27.91547868	mast:HST/product/jcis06020_drz.jpg	mast:HST/product/jcis06020_drz.fits	PUBLIC	True	nan	24839236	741034269
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
science	HLA	HLA	ACS/WFC	HLA	F606WPOL120V	--	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_13863_03_acs_wfc_f606wpol120v_01	280.9542207499916	-30.995417914305882	image	Hines	2	56889.32263	56889.33654	1200.0	nan	nan	--	57254.78804398	13863	HLA	--	POLYGON J2000 280.94159040 -31.01316570 280.97311730 -31.00584330 280.96684640 -30.97766890 280.93532830 -30.98498970 280.94159040 -31.01316570	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_13863_03_acs_wfc_f606wpol120v_01	--	PUBLIC	--	nan	25981100	67948367
science	HLA	HLA	ACS/WFC	HLA	F606WPOL120V	--	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_13863_03_acs_wfc_f606wpol120v_02	280.9234007501509	-30.99263091472144	image	Hines	2	56889.53457	56889.54848	1200.0	nan	nan	--	57254.78804398	13863	HLA	--	POLYGON J2000 280.91076580 -31.01037540 280.94229310 -31.00306020 280.93603100 -30.97488520 280.90451250 -30.98219890 280.91076580 -31.01037540	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_13863_03_acs_wfc_f606wpol120v_02	--	PUBLIC	--	nan	25981101	67948368
science	HLA	HLA	ACS/WFC	HLA	F606WPOL0V	--	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_13863_04_acs_wfc_f606wpol0v_03	290.2938020457327	-28.01891575026861	image	Hines	2	56977.51266	56977.52176	785.0	nan	nan	--	57342.94112256	13863	HLA	--	POLYGON J2000 290.31000840 -28.03180110 290.30912780 -28.00313970 290.27759970 -28.00602840 290.27847180 -28.03469010 290.31000840 -28.03180110	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_13863_04_acs_wfc_f606wpol0v_03	--	PUBLIC	--	nan	25981110	67948377
science	HLA	HLA	ACS/WFC	HLA	F775W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_13863_04_acs_wfc_f775w_01	290.27357746214466	-28.021822337884565	image	Hines	2	56977.44859	56977.45034	150.0	690000000000.0	860000000000.0	--	57342.8724883	13863	HLA	--	POLYGON J2000 290.28965860 -28.03460380 290.28879070 -28.00616920 290.25750010 -28.00903900 290.25835980 -28.03747380 290.28965860 -28.03460380	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_13863_04_acs_wfc_f775w_01	--	PUBLIC	--	nan	25981116	67948383
science	HLA	HLA	ACS/WFC	HLA	F775W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_13863_04_acs_wfc_f775w_02	290.2751774620947	-28.021566337845524	image	Hines	2	56977.45293	56977.45468	150.0	690000000000.0	860000000000.0	--	57342.8724883	13863	HLA	--	POLYGON J2000 290.29039040 -28.00591310 290.25910000 -28.00878320 290.25996010 -28.03721790 290.29125870 -28.03434760 290.29039040 -28.00591310	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_13863_04_acs_wfc_f775w_02	--	PUBLIC	--	nan	25981117	67948384
science	HLA	HLA	ACS/WFC	HLA	F606WPOL60V	--	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_13863_05_acs_wfc_f606wpol60v_03	290.6007621459412	-27.963361624819484	image	Hines	2	56978.50763	56978.51672	785.0	nan	nan	--	57343.75185176	13863	HLA	--	POLYGON J2000 290.61631780 -27.94778080 290.58477530 -27.95028270 290.58520200 -27.97894070 290.61675290 -27.97643870 290.61631780 -27.94778080	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_13863_05_acs_wfc_f606wpol60v_03	--	PUBLIC	--	nan	25981120	67948387
science	HLA	HLA	ACS/WFC	HLA	F775W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_13863_05_acs_wfc_f775w_01	290.58067756432786	-27.966253462770922	image	Hines	2	56978.44466	56978.44641	150.0	690000000000.0	860000000000.0	--	57343.70451382	13863	HLA	--	POLYGON J2000 290.56522550 -27.98171880 290.59655000 -27.97922890 290.59612520 -27.95078640 290.56480900 -27.95327620 290.56522550 -27.98171880	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_13863_05_acs_wfc_f775w_01	--	PUBLIC	--	nan	25981126	67948393
science	HLA	HLA	ACS/WFC	HLA	F775W	OPTICAL	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_13863_06_acs_wfc_f775w_01	290.9128770096229	-27.905945046863923	image	Hines	2	56979.51028	56979.51203	150.0	690000000000.0	860000000000.0	--	57344.94012718	13863	HLA	--	POLYGON J2000 290.89618110 -27.89381480 290.89848990 -27.92218630 290.92957680 -27.91807330 290.92725980 -27.88970230 290.89618110 -27.89381480	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_13863_06_acs_wfc_f775w_01	--	PUBLIC	--	nan	25981136	67948403
science	HLA	HLA	ACS/WFC	HLA	F606WPOL60V	--	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_14261_02_acs_wfc_f606wpol60v_04	149.03383347531883	17.791933192580494	image	Hines	2	57306.01628	57306.0217	467.0	nan	nan	--	57672.2263889	14261	HLA	--	POLYGON J2000 149.02679120 17.80997720 149.01357040 17.78422550 149.04087430 17.77388890 149.05409830 17.79963880 149.02679120 17.80997720	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_14261_02_acs_wfc_f606wpol60v_04	--	PUBLIC	--	nan	26004664	67971931
science	HLA	HLA	ACS/WFC	HLA	F606WPOL120V	--	COMET-67P-CHURYUMOV-GERASIMENK	--	hst_14261_03_acs_wfc_f606wpol120v_03	149.38633343179924	17.696582189227897	image	Hines	2	57306.53082	57306.53624	467.0	nan	nan	--	57672.72732635	14261	HLA	--	POLYGON J2000 149.37931420 17.71464960 149.36605570 17.68889320 149.39335130 17.67851450 149.40661290 17.70426910 149.37931420 17.71464960	https://hla.stsci.edu/cgi-bin/preview.cgi?dataset=hst_14261_03_acs_wfc_f606wpol120v_03	--	PUBLIC	--	nan	26004667	67971934

Now that we have our filtered observations, let’s sort the rows of this table based on the t_min criteria, which refers to the start time of the exposure in MJD.

filtered_observations.sort("t_min")

Now that we’ve sorted our table, let’s construct a basic ephemeris showing the path of our object over time (with t_min, or exposure start in MJD, as our time component):

ephemeris = Table([filtered_observations["s_ra"],
                   filtered_observations["s_dec"],
                   filtered_observations["t_min"]], names=("ra", "dec", "t_min"))

Let’s display the contents of our ephemeris, and use it to generate a plot of the comet’s path:

ephemeris.sort("t_min")
ephemeris

Table length=70

ra	dec	t_min
float64	float64	float64
281.2558788729	-31.01619293249	56887.26573422454
281.1070408364967	-31.006679797131913	56888.26101
281.1070302812	-31.0066887554	56888.26101200232
281.1045408863173	-31.00650879708346	56888.27707
281.0975108367455	-31.006933797314236	56888.32419
281.0951608865579	-31.006770747268593	56888.34025
281.0868808868347	-31.005851797486205	56888.39054
281.0845408866453	-31.005687797434355	56888.40661
281.0773208868312	-31.004271747618215	56888.4569
...	...	...
149.02105347495342	17.795211192797524	57306.00024
149.0210592664	17.79521475611	57306.00024725695
149.02788342509825	17.794214142733026	57306.00826
149.03383347531883	17.791933192580494	57306.01628
149.0387234255141	17.789775192433133	57306.02429
149.38633343179924	17.696582189227897	57306.53082
149.386341824	17.6965860963	57306.530825775466
149.39313343193777	17.695584189165338	57306.53884
149.39905343216378	17.69330118900645	57306.54686
149.40391343235848	17.69114218886538	57306.55487

plt.figure(figsize=(12,8))
plt.scatter(ephemeris[0:18]['ra'], ephemeris[0:18]['dec'], color='royalblue', s=200, lw=1., edgecolor='k')

plt.xlabel("Right Ascension (deg)", fontsize=20)
plt.ylabel("Declination (deg)", fontsize=20)

plt.title("Sky Coordinates", fontsize=20)

plt.xticks(fontsize=15)
plt.yticks(fontsize=15)
plt.grid()

../../../_images/8d5c927a56be8bf2398237a367e5cca2ea145d2a47f277d36a350f9e0bb8e0c9.png

You can choose to save the ephemeris table in your current working directory by running the cell below:

# Overwriting is not necessary, but prevents this Notebook from failing STScI's automated testing
ephemeris.write('ephemeris-comet67p-cg.csv', format='ascii', overwrite=True)

Resources#

The following is a list of resources that were referenced throughout the tutorial, as well as some additional references that you may find useful:

Citations#

If you use any of astroquery’s tools for published research, please cite the authors. Follow this link for more information about citing astroquery:

Citing astroquery

About This Notebook#

If you have comments or questions on this notebook, please contact us through the Archive Help Desk e-mail at archive@stsci.edu.

Author: Jenny V. Medina
Keywords: astroquery, wildcards, moving target
Last Updated: Jun 2023