Pyradiosky 1.0.1

Description:

pyradiosky 1.0.1

pyradiosky

Python objects and interfaces for representing diffuse, extended and compact
astrophysical radio sources.
The primary user class is SkyModel, which supports:

catalogs of point sources (read/write to hd5 and text files, read VOTables)
diffuse models as HEALPix maps (read/write to hd5 files)
conversion between any astropy supported coordinates (e.g. J2000 RA/Dec) and
Azimuth/Elevation including calculating full polarization coherencies in Az/El.

File formats
pyradiosky supports reading in catalogs from several formats, including VO Table files,
text files, FHD catalog files and SkyH5 files and
supports writing to SkyH5 and text files. SkyH5 is an HDF5-based file format defined by
the pyradiosky team, a full description is in the SkyH5 memo.
Community Guidelines
Contributions to this package to add new file formats or address any of the
issues in the issue log
are very welcome, as are bug reports and feature requests.
Please see our guide on contributing
Versioning
We use a generation.major.minor version number format. We use the generation
number for very significant improvements or major rewrites, the major number
to indicate substantial package changes and the minor number to release smaller
incremental updates (which do not include breaking API changes). We do our best
to provide a significant period (usually 2 major generations) of deprecation
warnings for all breaking changes to the API.
We track all changes in our changelog.
Documentation
Developer API documentation is hosted here.
Citation
Please cite pyradiosky by citing our JOSS paper:
Hazelton et al., (2024). pyradiosky: A Python package for Radio Sky Models.
Journal of Open Source Software, 9(97), 6503, https://doi.org/10.21105/joss.06503
ADS Link
Installation
Simple installation via pip is available for users, developers should follow
the directions under Developer Installation below.
For simple installation, the latest stable version is available via pip with
pip install pyradiosky.
There are some optional dependencies that are required for specific functionality,
which will not be installed automatically by pip.
See Dependencies for details on installing optional dependencies.
Dependencies
If you are using conda to manage your environment, you may wish to install the
following packages before installing pyradiosky:
Required:

astropy>=6.0
h5py>=3.4
numpy>=1.23
scipy>=1.8
pyuvdata>=2.4.3
setuptools_scm>=8.1

Optional:

astropy-healpix>=1.0.2 (for working with beams in HEALPix formats)
astroquery>=0.4.4 (for downloading GLEAM and other VizieR catalogs)
lunarsky>=0.2.2 (for supporting telescope locations on the moon)

We suggest using conda to install all the dependencies. To install
pyuvdata, astropy-healpix and astroquery, you'll need to add conda-forge as a channel
(conda config --add channels conda-forge).
If you do not want to use conda, the packages are also available on PyPI.
You can install the optional dependencies via pip by specifying an option
when you install pyradiosky, as in pip install .[healpix]
which will install all the required packages for using the HEALPix functionality
in pyradiosky. The options that can be passed in this way are:
[healpix, astroquery, lunarsky, all, doc, test, dev].
The first three (healpix, astroquery, lunarsky) enable various specific
functionality while all will install all optional dependencies.
The last three (doc, test and dev) may be useful for developers of pyradiosky.
Developer Installation
Clone the repository using
git clone https://github.com/RadioAstronomySoftwareGroup/pyradiosky.git
Navigate into the pyradiosky directory and run pip install .
(note that python setup.py install does not work).
Note that this will attempt to automatically install any missing dependencies.
If you use anaconda or another package manager you might prefer to first install
the dependencies as described in Dependencies.
To install without dependencies, run pip install --no-deps
If you want to do development on pyradiosky, in addition to the other dependencies
you will need the following packages:

pytest
pytest-cov
coverage
pre-commit
sphinx
pypandoc

One way to ensure you have all the needed packages is to use the included
environment.yaml file to create a new environment that will
contain all the optional dependencies along with dependencies required for
testing and development (conda env create -f environment.yml).
Alternatively, you can specify dev when installing pyradiosky
(as in pip install pyradiosky[dev]) to install the packages needed for testing
and documentation development.
To use pre-commit to prevent committing code that does not follow our style,
you'll need to run pre-commit install in the top level pyradiosky directory.
Tests
Uses the pytest package to execute test suite.
From the pyradiosky directory run pytest or python -m pytest.
Maintainers
pyradiosky is maintained by the RASG Managers, which currently include:

Adam Beardsley (Arizona State University)
Bryna Hazelton (University of Washington)
Daniel Jacobs (Arizona State University)
Paul La Plante (University of California, Berkeley)
Jonathan Pober (Brown University)

Please use the channels discussed in the guide on contributing
for code-related discussions. You can contact us privately if needed at
[email protected].
Acknowledgments
Support for pyradiosky was provided by NSF awards #1835421 and #1835120.