Relativistic Effects in Ultra-Large-Scale Clustering¶
HorizonGRound is a Python package that offers tools for forward modelling of general relativistic effects from the tracer luminosity function as well as comparing relativistic corrections with the local primordial non-Gaussianity signature in ultra-large-scale clustering statistics.
Installation¶
To install, enter in bash:
pip install HorizonGRound
Where to start¶
Quick Recipes for ready-made recipes
API Reference for more detailed documentation of classes and functions
Attribution¶
If you would like to acknowledge this work, please cite Wang, Beutler & Bacon (2020). You may use the following BibTeX record:
@article{Wang_2020a,
author = {Wang, M.~S. and Beutler, F. and Bacon, D.},
title = {%
Impact of relativistic effects on the primordial {non-Gaussianity} %
signature in the large-scale clustering of quasars%
},
year = {2020},
archivePrefix = {arXiv},
primaryClass = {astro-ph.CO},
eprint = {2007.01802},
}
Licence¶
HorizonGRound is made freely available under the GPL v3.0 licence.