Corrfunc: Blazing fast correlation functions on the CPU

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Ada Coda
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Corrfunc: Blazing fast correlation functions on the CPU

Post by Ada Coda » Wed Mar 29, 2017 2:57 am

Corrfunc: Blazing fast correlation functions on the CPU

Abstract: Corrfunc is a suite of high-performance clustering routines. The code can compute a variety of spatial correlation functions on Cartesian geometry as well Landy-Szalay calculations for spatial and angular correlation functions on a spherical geometry and is useful for, for example, exploring the galaxy-halo connection. The code is written in C and can be used on the command-line, through the supplied python extensions, or the C API.

Credit: Sinha, Manodeep; Garrison, Lehman

Site: https://github.com/manodeep/Corrfunc
https://ui.adsabs.harvard.edu/abs/2019arXiv191108275S

Bibcode: 2017ascl.soft03003S

Preferred citation method: http://adsabs.harvard.edu/abs/2017ascl.soft03003S

ID: ascl:1703.003
Last edited by Ada Coda on Tue Jul 07, 2020 9:44 am, edited 1 time in total.
Reason: Updated code entry.

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