DESI Mock Challenge VII: halo and galaxy catalogs with the Bias Assignment Method
Abstract
This work presents for the first time galaxy catalogues constructed based on halo distributions obtained with effective bias models at the field level. In particular, it relies on the Bias Assignment Method (BAM) and explores the accuracy in the summary statistics using different nonlocal dependencies in the halo bias. Moreover, improvements in the hierarchy of halo properties assignment are introduced, which are key to accurately applying halo occupation distribution (HOD) to construct emissionline galaxy catalogues, target for experiments such as the Dark Energy Spectroscopic Instrument (DESI). We introduce novel cosmicweb dependent corrections to the analytical velocity field, to model redshift space distortions at the Nbody level  both in the halo and galaxy distributions  in the monopole, quadrupole, and hexadecapole up to $k\sim0.3\,h^{1}{\rm Mpc}$. We demonstrate the high accuracy of the mocks in the one (abundance), two (e.g. power spectrum), three (e.g. bispectrum), four (covariance matrices of twopoint statistics), and sixpoint statistics (covariance matrices of threepoint statistics), both in real and redshift space. BAM offers a robust way to produce fast and accurate halo distributions which can be used to generate a variety of multitracer catalogs with precise covariance matrices of several cosmological probes.
 Publication:

arXiv eprints
 Pub Date:
 November 2022
 DOI:
 10.48550/arXiv.2211.10640
 arXiv:
 arXiv:2211.10640
 Bibcode:
 2022arXiv221110640B
 Keywords:

 Astrophysics  Cosmology and Nongalactic Astrophysics
 EPrint:
 Submitted to A&