correlcalc: A 'generic' recipe for calculation of two-point correlation function
Abstract
This article presents a recipe for 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 on a low-spec desktop computer for small datasets, this 'recipe' can be used for quick validation of alternative models and for pedagogical purposes.
- Publication:
-
Astronomy and Computing
- Pub Date:
- October 2018
- DOI:
- arXiv:
- arXiv:1710.01723
- Bibcode:
- 2018A&C....25..149R
- Keywords:
-
- Two-point correlation function;
- BallTree;
- Galaxy clustering;
- Redshift surveys;
- 2pCF for alternative models;
- Astrophysics - Cosmology and Nongalactic Astrophysics;
- Astrophysics - Instrumentation and Methods for Astrophysics
- E-Print:
- Prepared for submission to Astronomy &
