2022
DOI: 10.48550/arxiv.2202.01220
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Tracing stars in Milky Way satellites with A-SLOTH

Li-Hsin Chen,
Mattis Magg,
Tilman Hartwig
et al.

Abstract: We study the stellar mass-to-halo mass relation at z = 0 in 30 Milky Way-like systems down to the ultra-faint (M * < 10 5 M ) regime using the semi-analytic model a-sloth.A new model allows us to follow star formation and the stochastic stellar feedback from individually sampled Pop II stars. Our fiducial model produces consistent results with the stellar mass-to-halo mass relation derived from abundance matching and the observed cumulative stellar mass function above the observational completeness. We find a … Show more

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“…These models differ widely in their scope, and often they are specifically geared towards addressing a specific issue or question. With A-SLOTH, we offer a highly capable semi-analytical model that can make predictions in numerous areas, ranging from 21-cm cosmology to metal-poor stars in the Milky-Way (Chen et al, 2022;Hartwig et al, 2015Hartwig et al, , 2018Hartwig, Latif, et al, 2016;Mattis Magg et al, 2022;Tarumi et al, 2020). This model was originally based on the Extended-Press-Schechter algorithm and more specifically the GALFORM code (Parkinson et al, 2008) but has since evolved to use merger trees from numerical simulation.…”
Section: Statement Of Needmentioning
confidence: 99%
“…These models differ widely in their scope, and often they are specifically geared towards addressing a specific issue or question. With A-SLOTH, we offer a highly capable semi-analytical model that can make predictions in numerous areas, ranging from 21-cm cosmology to metal-poor stars in the Milky-Way (Chen et al, 2022;Hartwig et al, 2015Hartwig et al, , 2018Hartwig, Latif, et al, 2016;Mattis Magg et al, 2022;Tarumi et al, 2020). This model was originally based on the Extended-Press-Schechter algorithm and more specifically the GALFORM code (Parkinson et al, 2008) but has since evolved to use merger trees from numerical simulation.…”
Section: Statement Of Needmentioning
confidence: 99%