Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Uniform interface for the selection functions of astronomical surveys.

Project description



The selectionfunctions package provides a uniform interface to the selection functions of the major astronomical surveys. This package is entirely derivative of the truly excellent dustmaps package created by Gregory M. Green. Please cite the dustmaps JOSS paper when using this package.

Supported Selection Functions

The currently supported selection functions are:

  1. Boubert & Everall (2019; boubert_everall_2019, in prep.)

To request addition of another selection function in this package, [file an issue on GitHub](, or submit a pull request.


Download the repository from [GitHub]( and then run:

python install –large-data-dir=/path/where/you/want/large/data/files/stored

Alternatively, you can use the Python package manager pip:

pip install selectionfunctions

Getting the Data

To fetch the data for the GaiaDR2 selectionfunction, run:

python fetch –map-name=boubert_everall_2019

You can download the other selection functions by changing “boubert_everall_2019” to (other selection functions to be added in future).

Alternatively, if you have used pip to install selectionfunctions, then you can configure the data directory and download the data by opening up a python interpreter and running:

>>> from selectionfunctions.config import config
>>> config['data_dir'] = '/path/where/you/want/large/data/files/stored'
>>> import selectionfunctions.boubert_everall_2019
>>> selectionfunctions.boubert_everall_2019.fetch()

Querying the Maps

Maps are queried using SourceCoord objects, which are a variant on the [astropy.coordinates.SkyCoord]( object. This means that any coordinate system supported by astropy can be used as input. For example, we can query BoubertEverall2019 as follows:

>>> from selectionfunctions.boubert_everall_2019 import BoubertEverall2019Query
>>> from selectionfunctions.source_base import Source
>>> boubert_everall_2019 = BoubertEverall2019Query()
>>> c = Source(
>>> print(boubert_everall_2019(c))

Above, we have used the ICRS coordinate system (the inputs are RA and Dec). We can use other coordinate systems, such as Galactic coordinates, and we can provide coordinate arrays. The following example uses both features:

>>> c = Source(
        [75.00000000, 130.00000000],
        [-89.00000000, 10.00000000],
>>> print(boubert_everall_2019(c))


Read the full documentation at


If you make use of this software in a publication, please cite [Green (2018) in The Journal of Open Source Software](


Development of selectionfunctions takes place on GitHub, at Any bugs, feature requests, pull requests, or other issues can be filed there. Contributions to the software are welcome.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for selectionfunctions, version 0.1.1
Filename, size File type Python version Upload date Hashes
Filename, size selectionfunctions-0.1.1.tar.gz (29.6 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page