<scp>AbacusHOD</scp>: a highly efficient extended multitracer HOD framework and its application to BOSS and eBOSS data

ABSTRACT We introduce the AbacusHOD model and present two applications of AbacusSummit simulations to observations. is a Halo Occupation Distribution (HOD) framework written in Python that particle-based, multitracer, highly generalized, efficient. It designed specifically with multitracer/cosmology analyses for next-generation large-scale structure surveys mind, takes advantage volume precision offered by new state-of-the-art cosmological simulations. The also customizable should be broadly applicable any upcoming diverse range analyses. In this paper, we demonstrate capabilities through example applications. first demonstrates high efficiency large HOD extension feature set an analysis full-shape redshift-space clustering BOSS galaxies at intermediate small scales ($\lt 30\, h^{-1}$ Mpc), assessing necessity introducing secondary galaxy biases (assembly bias). find strong evidence using halo environment instead concentration trace bias, result which leads moderate reduction ‘lensing low’ tension. second multitracer package extended Baryon Oscillation Spectroscopic Survey cross-correlation measurements between three different tracers: luminous red galaxies, emission-line quasi-stellar objects. expect framework, combination simulation suite, play important role simulation-based Dark Energy Instrument data sets.