We introduce the AbacusHOD model and present two applications of AbacusHOD and the AbacusSummit simulations to observations. AbacusHOD is a Halo Occupation Distribution (HOD) framework written in Python that is particlebased, multitracer, highly generalized, and highly efficient. It is designed specifically with multitracer/cosmology analyses for nextgeneration largescale structure surveys in mind, and takes advantage of the volume and precision offered by the new stateoftheart AbacusSummit cosmological simulations. The model is also highly customizable and should be broadly applicable to any upcoming surveys and a diverse range of cosmological analyses. In this paper, we demonstrate the capabilities of the AbacusHOD framework through two example applications. The first example demonstrates the high efficiency and the large HOD extension feature set through an analysis of fullshape redshiftspace clustering of BOSS galaxies at intermediate to small scales ($\lt 30\, h^{1}$ Mpc), assessing the necessity of introducing secondary galaxy biases (assembly bias). We find strong evidence for using halo environment instead of concentration to trace secondary galaxy bias, a result which also leads to a moderate reduction in the ‘lensing is low’ tension. The second example demonstrates the multitracer capabilities of the AbacusHOD package through an analysis of the extended Baryon Oscillation Spectroscopic Survey crosscorrelationmore »
 Award ID(s):
 1713791
 Publication Date:
 NSFPAR ID:
 10225529
 Journal Name:
 Monthly Notices of the Royal Astronomical Society
 Volume:
 501
 Issue:
 4
 Page Range or eLocationID:
 6181 to 6198
 ISSN:
 00358711
 Sponsoring Org:
 National Science Foundation
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