Implementation of the Schmidt et al. (2013) clustering redshift method.
Project description
yet_another_wizz is a python package to efficiently compute cross-correlation redshifts, also know as clustering redshifts. The method allows to estimate the unknown redshift distribution of a galaxy sample by measuring the amplitude of the angular correlation of the galaxy positions with those of a reference sample with known redshifts.
This implementation is based on the idea (introduced by Schmidt et al. 2013, see arXiv:1303.0292) to measure the amplitude of the angular correlation functions by counting galaxy pairs in a single, wide angular bin.
The code base, documentation and, python package are distributed at:
Installation
The yet_another_wizz package, which ships the python library yaw, can be installed directly with pip:
pip install yet_another_wizz
To enable MPI support, the MPI runtime-environment must be installed and configured. The easiest way to install yet_another_wizz with MPI enabled is using the provided setup for conda:
conda install -f environment.yml
This will creates a new environment called yaw and install the code together with the openmpi implementation of MPI.
Alternative use the pip install option:
pip install yet_another_wizz[mpi]
Other optional dependencies (not installed by default) are:
matplotlib to enable plotting methods.
healpy to enable generating random samples based on HealPix masks.
Usage
For more information about how to use the python code, please refer to the usage examples in the official documentation.
There is also a plugin interface for the Redshift Assessment Infrastructure Layers (RAIL) pipeline.
Previous versions of yet_another_wizz could also be run as a command line tool when installing the sparate command-line client yet_another_wizz_cli. This tool is deprecated as of version 3.0 but maybe be integrated directly into yet_another_wizz in a future release.
For bug reports or requesting new features, please use the github issue page: https://github.com/jlvdb/yet_another_wizz/issues
Maintainers
Jan Luca van den Busch (author, Ruhr-Universität Bochum, Astronomisches Institut)
Acknowledgements
Jan Luca van den Busch acknowledges support from the European Research Council under grant numbers 770935. The authors also thank Hendrik Hildebrandt, Benjamin Joachimi, Angus H. Wright, and Chris Blake for vital feedback and support throughout the development of this software.
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