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correlcalc: Two-point correlation function from redshift surveys

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Ada Coda
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correlcalc: Two-point correlation function from redshift surveys

Postby Ada Coda » Wed Nov 29, 2017 6:53 pm

correlcalc: Two-point correlation function from redshift surveys

Abstract: correlcalc calculates two-point correlation function (2pCF) of galaxies/quasars using redshift surveys. It can be used for any assumed geometry or Cosmology model. Using BallTree algorithms to reduce the computational effort for large datasets, it is a parallelised code suitable for running on clusters as well as personal computers. It takes redshift (z), Right Ascension (RA) and Declination (DEC) data of galaxies and random catalogs as inputs in form of ascii or fits files. If random catalog is not provided, it generates one of desired size based on the input redshift distribution and mangle polygon file (in .ply format) describing the survey geometry. It also calculates different realisations of (3D) anisotropic 2pCF. Optionally it makes healpix maps of the survey providing visualization.

Credit: Rohin, Yeluripati

Site: https://github.com/rohinkumar/correlcalc
https://ui.adsabs.harvard.edu/abs/2018A%26C....25..149R

Bibcode: 2017ascl.soft11005R

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2018A%26C....25..149R

ID: ascl:1711.005
Last edited by Ada Coda on Mon Jun 24, 2019 3:12 am, edited 1 time in total.
Reason: Updated code entry.

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