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[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:
http://github.com/manodeep/Corrfunc
Appears in:
http://adsabs.harvard.edu/abs/2017MNRAS.tmp...81B
Bibcode:
2017ascl.soft03003S

ascl:1703.003
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