correlcalc: A `Generic' Recipe for Calculation of Two-point Correlation function
Cosmology and Nongalactic Astrophysics
2017-11-09 v2 Instrumentation and Methods for Astrophysics
Abstract
This article provides a method for quick computation of galaxy two-point correlation function(2pCF) from redshift surveys using python. One of the salient features of this approach is that it can be used for calculating galaxy clustering for any arbitrary geometry (or Cosmology) model. Being efficient enough to run fast on a low-spec desktop computer, this `recipe' can be used for quick validation of alternative models and for pedagogical purposes.
Cite
@article{arxiv.1710.01723,
title = {correlcalc: A `Generic' Recipe for Calculation of Two-point Correlation function},
author = {Yeluripati Rohin},
journal= {arXiv preprint arXiv:1710.01723},
year = {2017}
}
Comments
Prepared for submission to Astronomy & Computing, 16 pages , 7 figures, 1 python package, Feedback & comments welcome