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Reduced download size of ESASky documenation examples
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‎docs/esasky/esasky.rst

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@@ -257,15 +257,16 @@ HDUList is the value.
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.. doctest-remote-data::
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>>> from astroquery.esasky import ESASky
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>>> images = ESASky.get_images(position="m51", radius="20 arcmin", missions=['Herschel', 'ISO-IR']) # doctest: +IGNORE_WARNINGS +IGNORE_OUTPUT
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Starting download of HERSCHEL data. (25 files)
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Downloading Observation ID: 1342188589 from http://archives.esac.esa.int/hsa/whsa-tap-server/data?RETRIEVAL_TYPE=STANDALONE&observation_oid=8618001&DATA_RETRIEVAL_ORIGIN=UI [Done]
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Downloading Observation ID: 1342188328 from http://archives.esac.esa.int/hsa/whsa-tap-server/data?RETRIEVAL_TYPE=STANDALONE&observation_oid=8637833&DATA_RETRIEVAL_ORIGIN=UI
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>>> images = ESASky.get_images(position="V* HT Aqr", radius="15 arcmin", missions=['Herschel', 'ISO-IR']) # doctest: +IGNORE_WARNINGS
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Starting download of HERSCHEL data. (6 files)
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Downloading Observation ID: 1342220557 from http://archives.esac.esa.int/hsa/whsa-tap-server/data?RETRIEVAL_TYPE=STANDALONE&observation_oid=8628906&DATA_RETRIEVAL_ORIGIN=UI [Done]
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Downloading Observation ID: 1342221178 from http://archives.esac.esa.int/hsa/whsa-tap-server/data?RETRIEVAL_TYPE=STANDALONE&observation_oid=8628962&DATA_RETRIEVAL_ORIGIN=UI
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...
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>>> print(images) # doctest: +IGNORE_OUTPUT
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{
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'HERSCHEL': [{'70': [HDUList], '160': HDUList}, {'70': HDUList, '160': HDUList}, ...],
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'ISO' : [HDUList, HDUList, HDUList, HDUList, ...]
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'ISO-IR' : [HDUList, HDUList, HDUList, HDUList, ...]
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...
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}
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@@ -274,12 +275,12 @@ parameter observation_id instead of target and position.
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.. doctest-remote-data::
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>>> images = ESASky.get_images(observation_ids=["100001010", "01500403"], missions=["SUZAKU", "ISO-IR"]) # doctest: +IGNORE_WARNINGS +IGNORE_OUTPUT
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>>> images = ESASky.get_images(observation_ids="100001010", missions="SUZAKU") # doctest: +IGNORE_WARNINGS
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>>> images = ESASky.get_images(observation_ids=["100001010", "01500403"], missions=["SUZAKU", "ISO-IR"])
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Note that the fits files also are stored to disk. By default they are saved to the working directory but the location
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can be chosen by the download_dir parameter.
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Get maps
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--------
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@@ -291,15 +292,15 @@ position, radius and missions.
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.. Skip testing examples with with hard-wired download dir values
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.. doctest-remote-data::
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>>> table_list = ESASky.query_region_maps(position="m51", radius="20 arcmin", missions=['Herschel', 'ISO-IR'])
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>>> images = ESASky.get_maps(query_table_list=table_list, download_dir="/home/user/esasky") # doctest: +SKIP
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>>> table_list = ESASky.query_region_maps(position="V* HT Aqr", radius="15 arcmin", missions=['Herschel', 'ISO-IR'])
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>>> images = ESASky.get_maps(query_table_list=table_list, download_dir="/home/user/esasky") # doctest: +SKIP
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This example is equivalent to:
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.. doctest-remote-data::
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>>> images = ESASky.get_images(position="m51", radius="20 arcmin", missions=['Herschel', 'ISO-IR'],
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... download_dir="/home/user/esasky") # doctest: +SKIP
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>>> images = ESASky.get_images(position="V* HT Aqr", radius="15 arcmin", missions=['Herschel', 'ISO-IR'],
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download_dir="/home/user/esasky") # doctest: +SKIP
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Get spectra
@@ -316,21 +317,21 @@ The methods returns a `dict` to separate the different missions. All mission exc
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.. doctest-remote-data::
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>>> from astroquery.esasky import ESASky
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>>> spectra = ESASky.get_spectra(position="m51", radius="20 arcmin", missions=['Herschel', 'XMM-NEWTON']) # doctest: +SKIP
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>>> spectra = ESASky.get_spectra(observation_ids=["02101201", "z1ax0102t"], missions=["ISO-IR", "HST-UV"]) # doctest: +IGNORE_OUTPUT
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>>> spectra = ESASky.get_spectra(position="Gaia DR3 4512810408088819712", radius="6.52 arcmin",
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missions=['Herschel', 'XMM-NEWTON'])
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>>> spectra = ESASky.get_spectra(observation_ids=["02101201", "z1ax0102t"], missions=["ISO-IR", "HST-UV"])
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or
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.. doctest-remote-data::
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>>> table_list = ESASky.query_region_spectra(position="m51", radius="20 arcmin",
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... missions=['Herschel', 'XMM-NEWTON'])
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>>> spectra = ESASky.get_spectra_from_table(query_table_list=table_list)
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>>> table_list = ESASky.query_region_spectra(position="Gaia DR3 4512810408088819712", radius="6.52 arcmin",
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missions=['Herschel', 'XMM-NEWTON'])
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>>> spectra = ESASky.get_spectra_from_table(query_table_list=table_list, download_dir="/home/user/esasky")
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dict: {
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'HERSCHEL': {'1342211195': {'red' : {'HPSTBRRS' : HDUList}, 'blue' : {'HPSTBRBS': HDUList},
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'1342180796': {'WBS' : {'WBS-H_LSB_5a' : HDUList}, 'HRS' : {'HRS-H_LSB_5a': HDUList},
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'HERSCHEL': {'1342244919': {'red' : {'HPSTBRRS' : HDUList}, 'blue' : {'HPSTBRBS': HDUList},
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'1342243607': {'SSW+SLW' : {'SPSS' : HDUList},
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...},
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'HST-IR':[HDUList, HDUList, HDUList, HDUList, HDUList, ...],
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'XMM-NEWTON' : [HDUList, HDUList, HDUList, HDUList, ...]
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...
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}
@@ -340,20 +341,12 @@ Here is another example for Herschel, since it is a bit special:
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.. doctest-remote-data::
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>>> from astroquery.esasky import ESASky
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>>> result = ESASky.query_region_spectra(position='M51', radius='1arcmin', missions=['HERSCHEL'])
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>>> result = ESASky.query_region_spectra(position='[SMB88] 6327', radius='1 arcmin', missions=['HERSCHEL'])
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>>> herschel_result = result['HERSCHEL']
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>>> herschel_result['observation_id', 'target_name', 'instrument', 'observing_mode_name', 'band', 'duration'].pprint()
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>>> spectra = ESASky.get_spectra_from_table(query_table_list=[('HERSCHEL', herschel_result)], download_dir='Spectra_new')
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>>> spectra['HERSCHEL']['1342211195']['red'].keys()
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>>> spectra['HERSCHEL']['1342211195']['red']['HPSTBRRS'].info()
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observation_id target_name instrument observing_mode_name band duration
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seconds
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-------------- ------------ ---------- ------------------------ ------------------- ---------
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1342180479 M51 HIFI HifiMappingModeDBSRaster 555.45-571.56 GHz 8014.085
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1342211195 m51 strip2-1 PACS PacsLineSpec 62.96-190.85 micron 1254.0
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1342211188 m51 PACS PacsLineSpec 52.15-159.67 micron 5597.0
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1342180478 M51 HIFI HifiMappingModeOTF 562.54-578.65 GHz 4012.741
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...
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>>> spectra['HERSCHEL']['1342249066']['SSW+SLW'].keys()
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>>> spectra['HERSCHEL']['1342249066']['SSW+SLW']['SPSS'].info()
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Solar System Object Crossmatch
@@ -424,7 +417,7 @@ Or download everything on an SSO by something like this:
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.. doctest-remote-data::
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>>> from astroquery.esasky import ESASky
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>>> images=ESASky.get_images_sso(sso_name="ganymede")
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>>> images=ESASky.get_images_sso(sso_name="2017 RN65")
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This module also offers access to IMCCE's SsODNet resolver, which allows you to find solar and extra solar system

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