ASCL Code Record
[ascl:1703.003]
Corrfunc: Blazing fast correlation functions on the CPU
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.
- Code site:
- https://github.com/manodeep/Corrfunc
- Used in:
- https://ui.adsabs.harvard.edu/abs/2017MNRAS.467.1386B https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.1042S
- Described in:
- https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.3022S https://ui.adsabs.harvard.edu/abs/2019arXiv191108275S
- Bibcode:
- 2017ascl.soft03003S
Preferred citation method:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.3022 ; see additional citation information here: https://github.com/manodeep/Corrfunc#citing
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