The Galaxy Luminosity Functions in ASTRID: Predictions for LSST

Fuente: arXiv
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Autori principali: Hafezianzadeh, Fatemeh, Zhang, Tianqing, Rogozenski, Paul, Lachance, Patrick, Zhou, Yihao, Di Matteo, Tiziana, Croft, Rupert A. C., Bird, Simeon, Mandelbaum, Rachel
Natura: Preprint
Pubblicazione: 2026
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author Hafezianzadeh, Fatemeh
Zhang, Tianqing
Rogozenski, Paul
Lachance, Patrick
Zhou, Yihao
Di Matteo, Tiziana
Croft, Rupert A. C.
Bird, Simeon
Mandelbaum, Rachel
author_facet Hafezianzadeh, Fatemeh
Zhang, Tianqing
Rogozenski, Paul
Lachance, Patrick
Zhou, Yihao
Di Matteo, Tiziana
Croft, Rupert A. C.
Bird, Simeon
Mandelbaum, Rachel
contents We present validated and forward-modelled galaxy luminosity functions and photometric predictions for the Vera C. Rubin Observatory Legacy Survey of Space and Time using the ASTRID cosmological hydrodynamical simulation. Galaxy magnitudes are computed by combining stellar population synthesis modeling with a physically motivated dust attenuation prescription in which the optical depth scales with metal surface density. The dust model is calibrated at z = 0 using SDSS luminosity functions and tested at intermediate redshifts (z = 0.5, 1.0, and 1.5) in rest-frame B, V , R, and I bands. We find that the attenuated luminosity functions reproduce observed galaxy statistics across multiple wavelengths and redshifts. Using this calibrated framework, we construct LSST-ready mock photometric catalogs over 0 <= z <= 2 in steps of Delta z = 0.1, containing ~378 million galaxies. We provide predicted apparent-magnitude luminosity functions in the LSST ugrizy bands, derive best-fit Schechter parameters as a compact analytic representation, and compute differential and cumulative galaxy number counts as a function of survey depth from Year 1 to Year 10.
format Preprint
id arxiv_https___arxiv_org_abs_2605_13843
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Galaxy Luminosity Functions in ASTRID: Predictions for LSST
Hafezianzadeh, Fatemeh
Zhang, Tianqing
Rogozenski, Paul
Lachance, Patrick
Zhou, Yihao
Di Matteo, Tiziana
Croft, Rupert A. C.
Bird, Simeon
Mandelbaum, Rachel
Astrophysics of Galaxies
Cosmology and Nongalactic Astrophysics
We present validated and forward-modelled galaxy luminosity functions and photometric predictions for the Vera C. Rubin Observatory Legacy Survey of Space and Time using the ASTRID cosmological hydrodynamical simulation. Galaxy magnitudes are computed by combining stellar population synthesis modeling with a physically motivated dust attenuation prescription in which the optical depth scales with metal surface density. The dust model is calibrated at z = 0 using SDSS luminosity functions and tested at intermediate redshifts (z = 0.5, 1.0, and 1.5) in rest-frame B, V , R, and I bands. We find that the attenuated luminosity functions reproduce observed galaxy statistics across multiple wavelengths and redshifts. Using this calibrated framework, we construct LSST-ready mock photometric catalogs over 0 <= z <= 2 in steps of Delta z = 0.1, containing ~378 million galaxies. We provide predicted apparent-magnitude luminosity functions in the LSST ugrizy bands, derive best-fit Schechter parameters as a compact analytic representation, and compute differential and cumulative galaxy number counts as a function of survey depth from Year 1 to Year 10.
title The Galaxy Luminosity Functions in ASTRID: Predictions for LSST
topic Astrophysics of Galaxies
Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2605.13843