ScamPy: Sub-halo Clustering and Abundance Matching Python interface

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Ada Coda
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ScamPy: Sub-halo Clustering and Abundance Matching Python interface

Post by Ada Coda » Thu Feb 27, 2020 3:41 am

ScamPy: Sub-halo Clustering and Abundance Matching Python interface

Abstract: 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.

Credit: Ronconi, Tommaso; Lapi, Andrea; Viel, Matteo; Sartori, Alberto

Site: https://scampy.readthedocs.io/en/latest/
https://ui.adsabs.harvard.edu/abs/2020arXiv200207179R

Bibcode: 2020ascl.soft02006R

ID: ascl:2002.006

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