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Fix example outputs, cleanup empty code cells, and skip dockets when authentication is assumed.
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‎docs/casda/casda.rst

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@@ -18,40 +18,22 @@ The method takes a location and either a radius or a height and width of the reg
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The location should be specified in ICRS coordinates or an `astropy.coordinates.SkyCoord` object.
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For example:
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.. code-block:: python
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.. doctest-remote-data::
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>>> from astroquery.casda import Casda
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>>> from astropy.coordinates import SkyCoord
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>>> from astropy import units as u
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>>> centre = SkyCoord.from_name('NGC 7232')
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>>> result_table = Casda.query_region(centre, radius=30*u.arcmin)
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>>> print(result_table['obs_publisher_did','s_ra', 's_dec', 'obs_release_date'])
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obs_publisher_did s_ra s_dec obs_release_date
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>>> print(result_table['obs_publisher_did','s_ra', 's_dec', 'obs_release_date'][:5])
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obs_publisher_did s_ra s_dec obs_release_date
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deg deg
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----------------- --------------- ---------------- ------------------------
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cube-502 333.16767306594 -45.302084636451 2017-08-02T03:51:19.728Z
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cube-504 333.16767306594 -45.302084636451 2017-08-02T03:51:19.728Z
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cube-505 333.16767306594 -45.302084636451 2017-08-02T03:51:19.728Z
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cube-506 333.16767306594 -45.302084636451 2017-08-02T03:51:19.728Z
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cube-507 333.16767306594 -45.302084636451 2017-08-02T03:51:19.728Z
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cube-508 333.16767306594 -45.302084636451 2017-08-02T03:51:19.728Z
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cube-453 332.53629746595 -44.850153699406 2017-07-10T05:18:13.482Z
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cube-454 332.53629746595 -44.850153699406 2017-07-10T05:18:13.482Z
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cube-455 332.53629746595 -44.850153699406 2017-07-10T05:18:13.482Z
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... ... ... ...
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cube-470 332.53644868638 -44.834926604835 2017-07-10T05:18:48.812Z
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cube-471 332.53644868638 -44.834926604835 2017-07-10T05:18:48.812Z
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cube-472 332.53644868638 -44.834926604835 2017-07-10T05:18:48.812Z
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cube-473 332.53644868638 -44.834926604835 2017-07-10T05:18:48.812Z
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cube-1170 333.70448386919 -45.966341151806 2019-01-30T13:00:00.000Z
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cube-612 333.30189344648 -50.033321773361 2018-05-25T08:22:51.025Z
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cube-650 326.04487794126 -42.033324601808
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cube-651 335.54487794126 -42.033324601808
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Length = 121 rows
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cube-11460 326.52250211117 -43.891190432671 2020-11-18T09:49:27.134Z
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cube-11461 326.52250211117 -43.891190432671 2020-11-18T09:49:27.134Z
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cube-11462 326.52250211117 -43.891190432671 2020-11-18T09:49:27.134Z
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cube-11463 326.52250211117 -43.891190432671 2020-11-18T09:49:27.134Z
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cube-11464 326.52250211117 -43.891190432671 2020-11-18T09:49:27.134Z
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In most cases only public data is required. While most ASKAP data is public, some data products may not be released for quality reasons.
@@ -60,48 +42,38 @@ To filter down to just the public data you can use the :meth:`~astroquery.casda.
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For example to filter out the 30 non-public results from the above data set:
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.. code-block:: python
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.. doctest-remote-data::
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>>> public_results = Casda.filter_out_unreleased(result_table)
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>>> print(public_results['obs_publisher_did','s_ra', 's_dec', 'obs_release_date'])
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obs_publisher_did s_ra s_dec obs_release_date
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>>> print(public_results['obs_publisher_did','s_ra', 's_dec', 'obs_release_date'][:5])
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obs_publisher_did s_ra s_dec obs_release_date
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deg deg
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----------------- --------------- ---------------- ------------------------
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cube-502 333.16767306594 -45.302084636451 2017-08-02T03:51:19.728Z
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cube-503 333.16767306594 -45.302084636451 2017-08-02T03:51:19.728Z
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cube-453 332.53629746595 -44.850153699406 2017-07-10T05:18:13.482Z
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cube-454 332.53629746595 -44.850153699406 2017-07-10T05:18:13.482Z
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... ... ... ...
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cube-468 332.53644868638 -44.834926604835 2017-07-10T05:18:48.812Z
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cube-473 332.53644868638 -44.834926604835 2017-07-10T05:18:48.812Z
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cube-1170 333.70448386919 -45.966341151806 2019-01-30T13:00:00.000Z
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cube-612 333.30189344648 -50.033321773361 2018-05-25T08:22:51.025Z
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Length = 81 rows
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cube-11460 326.52250211117 -43.891190432671 2020-11-18T09:49:27.134Z
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cube-11461 326.52250211117 -43.891190432671 2020-11-18T09:49:27.134Z
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cube-11464 326.52250211117 -43.891190432671 2020-11-18T09:49:27.134Z
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Authentication
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==============
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User authentication is required to access data files from CASDA, including calibrated visibilities, images and image cubes.
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User authentication is required to access data files from CASDA, including
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calibrated visibilities, images and image cubes.
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Authentication is made with OPAL credentials.
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To register with OPAL, go to https://opal.atnf.csiro.au/ and click on the link to 'Register'. Enter your email address, name, affiliation and a password. The OPAL application will register you straight away.
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To register with OPAL, go to https://opal.atnf.csiro.au/ and click on the
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link to 'Register'. Enter your email address, name, affiliation and a password.
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The OPAL application will register you straight away.
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OPAL user accounts are self-managed. Please keep your account details up to date. To change user-registration details, or to request a new OPAL password, use the link to 'Log in or reset password'.
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OPAL user accounts are self-managed. Please keep your account details up to
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date. To change user-registration details, or to request a new OPAL password,
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use the link to 'Log in or reset password'.
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To use download tasks, you should create an instance of the Casda object with a username and password. e.g.:
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To use download tasks, you should create an instance of the ``Casda`` class
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with a username and password. e.g.:
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.. code-block:: python
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.. doctest-skip::
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>>> from astroquery.casda import Casda
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>>> import getpass
@@ -121,9 +93,10 @@ This column should contain the datalink address of the data product.
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Once the data has been assembled you can then download the data using the :meth:`~astroquery.casda.CasdaClass.download_files` method, or using tools such as wget.
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Authentication is required when staging the data, but not for the download.
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An example script to download public continuum images of the NGC 7232 region taken in scheduling block 2338 is shown below:
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.. code-block:: python
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.. doctest-remote-data::
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An example script to download public continuum images of the NGC 7232 region
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taken in scheduling block 2338 is shown below:
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.. doctest-skip::
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>>> from astropy import coordinates, units as u, wcs
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>>> from astroquery.casda import Casda

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