('Forward-modelling of relativistic effects from tracer luminosity function.',)
Project description
Relativistic Effects in Ultra-Large-Scale Clustering
HorizonGRound is a Python package that offers tools for forward modelling of general relativistic effects from tracer luminosity functions as well as comparing relativistic corrections with the local primordial non-Gaussianity signature in ultra-large-scale clustering statistics.
Installation
The simplest installation method is pip
:
pip install HorizonGRound
Documentation
API documentation and quick recipes can be found at mikeswang.github.io/HorizonGRound.
Attribution
If you would like to acknowledge this work please consider citing
Wang, Beutler & Bacon (2020) <https://arxiv.org/abs/2007.xxxxx>
_. You
may use the following BibTeX record.
@article{Wang_2020,
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.xxxx},
}
Licence
Copyright 2020, M S Wang
HorizonGRound is made freely available under the GPL v3.0 licence.
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