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[ascl:2002.006] ScamPy: Sub-halo Clustering and Abundance Matching Python interface

ScamPy "paints" an observed population of cosmological objects on top of the DM-halo/subhalo hierarchy obtained from DM-only simulations. The method combines the Halo Occupation Distribution (HOD) method with sub-halo abundance matching (SHAM); the two processes together are dubbed Sub-halo clustering and abundance matching (SCAM). The procedure requires applying the two methods in sequence; by applying the HOD scheme, the host sub-haloes are selected, and the SHAM algorithm associates an observable property of choice to each sub-halo. The provided python interface allows users to load and populate DM halos and sub-halos obtained by FoF and SUBFIND algorithms applied to DM snapshots at any redshift. The software is highly-optimized and flexible.

Code site:
https://github.com/TommasoRonconi/scampy https://scampy.readthedocs.io/en/latest/
Described in:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.2095R
Bibcode:
2020ascl.soft02006R

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ascl:2002.006
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