Dark Sage: Next-generation semi-analytic galaxy evolution with multidimensional structure and minimal free parameters

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Stevens, Adam R. H., Sinha, Manodeep, Rohl, Alexander, Sammons, Mawson W., Hadzhiyska, Boryana, Hernández-Aguayo, César, Hernquist, Lars
Format: Preprint
Published: 2023
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916267114364928
author Stevens, Adam R. H.
Sinha, Manodeep
Rohl, Alexander
Sammons, Mawson W.
Hadzhiyska, Boryana
Hernández-Aguayo, César
Hernquist, Lars
author_facet Stevens, Adam R. H.
Sinha, Manodeep
Rohl, Alexander
Sammons, Mawson W.
Hadzhiyska, Boryana
Hernández-Aguayo, César
Hernquist, Lars
contents After more than five years of development, we present a new version of Dark Sage, a semi-analytic model (SAM) of galaxy formation that breaks the mould for models of its kind. Included among the major changes is an overhauled treatment of stellar feedback that is derived from energy conservation, operates on local scales, affects gas gradually over time rather than instantaneously, and predicts a mass-loading factor for every galaxy. Building on the model's resolved angular-momentum structure of galaxies, we now consider the heating of stellar discs, delivering predictions for disc structure both radially and vertically. We add a further dimension to stellar discs by tracking the distribution of stellar ages in each annulus. Each annulus--age bin has its own velocity dispersion and metallicity evolved in the model. This allows Dark Sage to make structural predictions for galaxies that previously only hydrodynamic simulations could. We present the model as run on the merger trees of the highest-resolution gravity-only simulation of the MillenniumTNG suite. Despite its additional complexity relative to other SAMs, Dark Sage only has three free parameters, the least of any SAM, which we calibrate exclusively against the cosmic star formation history and the $z=0$ stellar and HI mass functions using a particle-swarm optimisation method. The Dark Sage codebase, written in C and Python, is publicly available at https://github.com/arhstevens/DarkSage
format Preprint
id arxiv_https___arxiv_org_abs_2312_04137
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Dark Sage: Next-generation semi-analytic galaxy evolution with multidimensional structure and minimal free parameters
Stevens, Adam R. H.
Sinha, Manodeep
Rohl, Alexander
Sammons, Mawson W.
Hadzhiyska, Boryana
Hernández-Aguayo, César
Hernquist, Lars
Astrophysics of Galaxies
Cosmology and Nongalactic Astrophysics
Instrumentation and Methods for Astrophysics
After more than five years of development, we present a new version of Dark Sage, a semi-analytic model (SAM) of galaxy formation that breaks the mould for models of its kind. Included among the major changes is an overhauled treatment of stellar feedback that is derived from energy conservation, operates on local scales, affects gas gradually over time rather than instantaneously, and predicts a mass-loading factor for every galaxy. Building on the model's resolved angular-momentum structure of galaxies, we now consider the heating of stellar discs, delivering predictions for disc structure both radially and vertically. We add a further dimension to stellar discs by tracking the distribution of stellar ages in each annulus. Each annulus--age bin has its own velocity dispersion and metallicity evolved in the model. This allows Dark Sage to make structural predictions for galaxies that previously only hydrodynamic simulations could. We present the model as run on the merger trees of the highest-resolution gravity-only simulation of the MillenniumTNG suite. Despite its additional complexity relative to other SAMs, Dark Sage only has three free parameters, the least of any SAM, which we calibrate exclusively against the cosmic star formation history and the $z=0$ stellar and HI mass functions using a particle-swarm optimisation method. The Dark Sage codebase, written in C and Python, is publicly available at https://github.com/arhstevens/DarkSage
title Dark Sage: Next-generation semi-analytic galaxy evolution with multidimensional structure and minimal free parameters
topic Astrophysics of Galaxies
Cosmology and Nongalactic Astrophysics
Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2312.04137