AuriDESI: Mock Catalogues for the DESI Milky Way Survey
Namitha Kizhuprakkat, Andrew P. Cooper, Alexander H. Riley, Sergey E., Koposov, Jessica Nicole Aguilar, Steven Ahlen, Carlos Allende Prieto, David, Brooks, Todd Claybaugh, Kyle Dawson, Axel de la Macorra, Peter Doel, Jaime E., Forero-Romero, Carlos Frenk, Enrique Gazta\~naga

TL;DR
This paper introduces mock catalogues for the DESI Milky Way Survey, enabling testing of methods to analyze stellar halo substructures and the galaxy's accretion history using simulated data.
Contribution
It presents a novel set of mock catalogues based on high-resolution simulations, tailored to DESI MWS selection criteria, to facilitate analysis of the Milky Way's assembly history.
Findings
Mock catalogues reproduce DESI MWS selection criteria.
They include detailed stellar properties and simulation data.
Rich accretion histories with diverse substructures are modeled.
Abstract
The Dark Energy Spectroscopic Instrument Milky Way Survey (DESI MWS) will explore the assembly history of the Milky Way by characterising remnants of ancient dwarf galaxy accretion events and improving constraints on the distribution of dark matter in the outer halo. We present mock catalogues that reproduce the selection criteria of MWS and the format of the final MWS data set. These catalogues can be used to test methods for quantifying the properties of stellar halo substructure and reconstructing the Milky Way's accretion history with the MWS data, including the effects of halo-to-halo variance. The mock catalogues are based on a phase-space kernel expansion technique applied to star particles in the Auriga suite of six high-resolution CDM magneto-hydrodynamic zoom-in simulations. They include photometric properties (and associated errors) used in DESI target selection and…
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