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.