rrl_completeness
Utility library to compute completeness maps based on two independent catalogues of RR Lyrae stars, following Mateu+ 2020
Science Score: 36.0%
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Repository
Utility library to compute completeness maps based on two independent catalogues of RR Lyrae stars, following Mateu+ 2020
Basic Info
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Metadata Files
README.md
RRL completeness utils
This is an utility library to read, plot and recompute the RR Lyrae completeness maps presented in Mateu et al. 2020 (M20).
Gaia DR2 (VC+SOS), Pan-STARRS-1 and ASAS-SN-II completeness maps presented in M20 are available in csv format in the maps directory.

EXAMPLES
- The Jupyter notebook mapplottingexamples.py shows how to plot the different precomputed maps published in Mateu et al. 2020.
- The Jupyter notebook mapcomputingexamples.py shows how to compute 2D maps and completeness in the line of sight for a given catalogue.
REQUIREMENTS
- Python modules required are NUMPY, SCIPY, ASTROPY AND HEALPY. PANDAS, MATPLOTLIB and [optionally SEABORN] are needed for plotting utilities.
INSTALLATION
In a terminal, run the following command:
sudo python setup.py install
and source your .cshrc or .bashrc
If you do not have root access, you can install in the custom directory pathtodir. First, add the directory's path pathtodir and pathtodir/lib/python2.7/site-packages/ to the PYTHONPATH variable in your .cshrc (or .bashrc) file and source it. Then install using the --prefix option::
python setup.py install --prefix=path_to_dir
Add pathtodir/bin to your PATH in your .csrhc or .bashrc file.
Owner
- Name: Cecilia Mateu
- Login: cmateu
- Kind: user
- Location: Uruguay
- Company: IFFC, UdelaR
- Repositories: 12
- Profile: https://github.com/cmateu
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