Constructing a Mock Galaxy Catalog for the All-sky Spectroscopic Survey of Nearby Galaxies (A-SPEC) Using the Machine-assisted Semi-Simulation Model
Open Access
- 21 July 2026
- journal article
- Published by American Astronomical Society in The Astrophysical Journal Supplement Series
- Vol. 285 (2) , 46
Abstract
We present a methodology for constructing a mock galaxy catalog for the All-sky SPECtroscopic survey of nearby galaxies (A-SPEC) using the Machine-assisted Semi-Simulation Model. The model is trained on the cosmological magnetohydrodynamical simulation IllustrisTNG to predict baryonic properties of subhalos from dark-matter-only features and is applied to our own N -body simulation tailored to satisfy the requirements of A-SPEC. We have improved the model's accuracy by introducing additional features such as subhalo anisotropy parameters and modified definitions of the subhalo environment, which result in the coefficient of determination R 2 = 0.96, 0.90, 0.70, 0.79 for stellar mass, gas mass, star formation rate, and gas metallicity, respectively. The resulting mock galaxies reproduce the luminosity-dependent clustering of the target galaxies when tuned to match the number density. We discuss avenues for further improvement, including the role of environment in the predictions. We release the mock galaxy catalog with the baryonic properties predicted from the model.Keywords
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Funding Information
- Ministry of Education (RS-2023-00301976)
- National Research Foundation of Korea (RS-2026-25482692)
- National Research Foundation of Korea (2022M3K3A1093827)
- National Research Foundation of Korea (2023R1A2C1003244)
- Korea Astronomy and Space Science Institute (2026183201)
- Ministry of Education (RS-2025-25403440)
- Korea Institute for Advanced Study (PG016904)
- National Research Foundation of Korea (RS-2024-00360385)
- Korea Astronomy and Space Science Institute (2026-1-831-03)
- Network/Korea Institute of Science and Technology Information (KSC-2021-CRE-0442)
- Network/Korea Institute of Science and Technology Information (KSC-2022-CRE-0355)
- Network/Korea Institute of Science and Technology Information (KSC-2024- CRE-0232)
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