44ESA Integral Science Legacy Archive (ISLA) (`astroquery.esa.integral `)
55**********************************************************************
66
7- INTEGRAL is the INTernational Gamma-Ray Astrophysics Laboratory of the
8- European Space Agency. It observes the Universe in the X-ray and soft
9- gamma-ray band. Since its launch, on October 17, 2002, the ISDC receives
10- the spacecraft telemetry within seconds and provides alerts, processed
7+ INTEGRAL is the INTernational Gamma-Ray Astrophysics Laboratory of the
8+ European Space Agency. It observes the Universe in the X-ray and soft
9+ gamma-ray band. Since its launch, on October 17, 2002, the ISDC receives
10+ the spacecraft telemetry within seconds and provides alerts, processed
1111data and analysis software to the worldwide scientific community.
1212
1313========
@@ -26,8 +26,8 @@ file in the chosen format, and queries may be executed asynchronously.
2626
2727 >>> from astroquery.esa.integral import IntegralClass
2828 >>> isla = IntegralClass()
29- >>> isla.query_tap(query = ' select * from ivoa.obscore' )
30-
29+ >>> isla.query_tap(query = ' select * from ivoa.obscore' ) # doctest: +IGNORE_OUTPUT
30+ <Table length=6743>
3131 access_estsize access_format access_url calib_level ... t_max t_min t_resolution t_xel
3232 int64 object object int32 ... float64 float64 float64 int64
3333 -------------- ----------------- ------------------------------------------------------------------------------ ----------- ... ----------- ----------- ------------ -----
@@ -51,7 +51,7 @@ The output can be formatted and saved as needed.
5151 >>> from astroquery.esa.integral import IntegralClass
5252 >>> isla = IntegralClass()
5353 >>> isla.get_sources(target_name = ' crab' )
54-
54+ <Table length=1>
5555 name ra dec source_id
5656 object float64 float64 object
5757 ------ ----------------- ----------------- ----------------
@@ -69,7 +69,7 @@ identified by its target name. The metadata provides in-depth information about
6969 >>> from astroquery.esa.integral import IntegralClass
7070 >>> isla = IntegralClass()
7171 >>> metadata = isla.get_source_metadata(target_name = ' Crab' )
72- >>> metadata
72+ >>> metadata # doctest: +IGNORE_OUTPUT
7373 [{'name': 'Integral', 'link': None, 'metadata': [{'param': 'Name', 'value': 'Crab'}, {'param': 'Id', 'value': 'J053432.0+220052'}, {'param': 'Coordinates degrees', 'value': '83.6324 22.0174'}, {'param': 'Coordinates', 'value': '05 34 31.78 22 01 02.64'}, {'param': 'Galactic', 'value': '184.55 -5.78'}, {'param': 'Isgri flag2', 'value': 'very bright source'}, {'param': 'Jemx flag', 'value': 'detected'}, {'param': 'Spi flag', 'value': 'detected'}, {'param': 'Picsit flag', 'value': 'detected'}]}, {'name': 'Simbad', 'link': 'https://simbad.cds.unistra.fr/simbad/sim-id?Ident=Crab', 'metadata': [{'param': 'Id', 'value': 'NAME Crab'}, {'param': 'Type', 'value': 'SuperNova Remnant'}, {'param': 'Other types', 'value': 'HII|IR|Psr|Rad|SNR|X|gam'}]}]
7474
7575------------------------------------
@@ -85,8 +85,9 @@ operation asynchronously.
8585
8686 >>> from astroquery.esa.integral import IntegralClass
8787 >>> isla = IntegralClass()
88- >>> isla.get_observations(target_name = ' crab' , radius = 12.0 , start_revno = ' 0290' , end_revno = ' 0599' )
89- dec email end_revno endtime ... starttime surname title
88+ >>> isla.get_observations(target_name = ' crab' , radius = 12.0 , start_revno = ' 0290' , end_revno = ' 0599' ) # doctest: +IGNORE_OUTPUT
89+ <Table length=27>
90+ dec email end_revno endtime ... starttime surname title
9091 float64 str60 object object ... object str20 str120
9192 ---------- ------------------------------ --------- ------------------- ... ------------------- ---------- --------------------------------------------------------------
9293 26.3157778 [email protected] 0352 2005-09-02 21:20:59 ... 2005-08-31 11:07:06 Kretschmar Target of Opportunity Observations of an Outburst in A 0535+26 @@ -114,7 +115,7 @@ An additional parameter, read_fits (default value True) reads automatically the
114115
115116 >>> from astroquery.esa.integral import IntegralClass
116117 >>> isla = IntegralClass()
117- >>> isla.download_science_windows(science_windows = [' 008100430010' , ' 033400230030' ], output_file = None )
118+ >>> results = isla.download_science_windows(science_windows = [' 008100430010' , ' 033400230030' ], output_file = None ) # doctest: +IGNORE_OUTPUT
118119
119120
120121---------------------
@@ -132,7 +133,7 @@ to refine their search.
132133 >>> isla = IntegralClass()
133134 >>> coordinates = SkyCoord(83.63320922851562 , 22.01447105407715 , unit = " deg" )
134135 >>> timeline = isla.get_timeline(coordinates = coordinates)
135- >>> timeline
136+ >>> timeline # doctest: +IGNORE_OUTPUT
136137 {'total_items': 8714, 'fraFC': 0.8510442965343126, 'totEffExpo': 16416293.994214607, 'timeline': <Table length=8714>
137138 scwExpo scwRevs scwTimes scwOffAxis
138139 float64 float64 object float64
@@ -157,6 +158,7 @@ specific target, instrument, or energy band is available.
157158 >>> from astroquery.esa.integral import IntegralClass
158159 >>> isla = IntegralClass()
159160 >>> isla.get_epochs(target_name = ' J011705.1-732636' , band = ' 28_40' )
161+ <Table length=50>
160162 epoch
161163 object
162164 ----------------
@@ -190,7 +192,8 @@ Users can refine their results by selecting an instrument or energy band.
190192
191193 >>> from astroquery.esa.integral import IntegralClass
192194 >>> isla = IntegralClass()
193- >>> ltt = isla.get_long_term_timeseries(target_name = ' J174537.0-290107' , instrument = ' jem-x' )
195+ >>> ltt = isla.get_long_term_timeseries(target_name = ' J174537.0-290107' , instrument = ' jem-x' ) # doctest: +IGNORE_OUTPUT
196+
194197
1951988.2. Retrieving Short-Term Timeseries
196199~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -203,7 +206,8 @@ the results are saved to a file for detailed examination.
203206
204207 >>> from astroquery.esa.integral import IntegralClass
205208 >>> isla = IntegralClass()
206- >>> stt = isla.get_short_term_timeseries(target_name = ' J011705.1-732636' , band = ' 28_40' , epoch = ' 0745_06340000001' )
209+ >>> stt = isla.get_short_term_timeseries(target_name = ' J011705.1-732636' , band = ' 28_40' , epoch = ' 0745_06340000001' ) # doctest: +IGNORE_OUTPUT
210+
207211
2082128.3. Retrieving spectra
209213~~~~~~~~~~~~~~~~~~~~~~~
@@ -216,7 +220,7 @@ output file for further processing.
216220
217221 >>> from astroquery.esa.integral import IntegralClass
218222 >>> isla = IntegralClass()
219- >>> spectra = isla.get_spectra(target_name = ' J011705.1-732636' , instrument = ' ibis' , epoch = ' 0745_06340000001' )
223+ >>> spectra = isla.get_spectra(target_name = ' J011705.1-732636' , instrument = ' ibis' , epoch = ' 0745_06340000001' ) # doctest: +IGNORE_OUTPUT
220224
221225
2222268.4. Retrieving mosaics
@@ -229,11 +233,10 @@ Users can filter by instrument or energy band and save the resulting image to a
229233
230234 >>> from astroquery.esa.integral import IntegralClass
231235 >>> isla = IntegralClass()
232- >>> mosaics = isla.get_mosaic(epoch = ' 0727_88601650001' , instrument = ' ibis' )
233-
236+ >>> mosaics = isla.get_mosaic(epoch = ' 0727_88601650001' , instrument = ' ibis' ) # doctest: +IGNORE_OUTPUT +IGNORE_WARNINGS
234237
235238Reference/API
236239=============
237240
238241.. automodapi :: astroquery.esa.integral
239- :no-inheritance-diagram:
242+ :no-inheritance-diagram:
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