Strong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky Way

We perform a high-resolution cosmological zoom-in simulation of a Milky Way (MW)–like system, which includes a realistic Large Magellanic Cloud analog, using a large differential elastic dark matter self-interaction cross section that reaches ≈100 cm ^2 g ^−1 at relative velocities of ≈10 km s ^−1 ,...

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Main Authors: Daneng Yang, Ethan O. Nadler, Hai-Bo Yu
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/acc73e
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author Daneng Yang
Ethan O. Nadler
Hai-Bo Yu
author_facet Daneng Yang
Ethan O. Nadler
Hai-Bo Yu
author_sort Daneng Yang
collection DOAJ
description We perform a high-resolution cosmological zoom-in simulation of a Milky Way (MW)–like system, which includes a realistic Large Magellanic Cloud analog, using a large differential elastic dark matter self-interaction cross section that reaches ≈100 cm ^2 g ^−1 at relative velocities of ≈10 km s ^−1 , motivated by the diverse and orbitally dependent central densities of dwarf galaxies within and surrounding the MW. We explore the effects of dark matter self-interactions on satellite, splashback, and isolated halos through their abundance, central densities, maximum circular velocities, orbital parameters, and correlations between these variables. We use an effective constant cross section model to analytically predict the stages of our simulated halos’ gravothermal evolution, demonstrating that deviations from the collisionless ${R}_{\max }$ – ${V}_{\max }$ relation can be used to select deeply core-collapsed halos, where ${V}_{\max }$ is a halo’s maximum circular velocity, and ${R}_{\max }$ is the radius at which it occurs. We predict that a sizable fraction (≈20%) of subhalos with masses down to ≈10 ^8 M _⊙ is deeply core collapsed in our SIDM model. Core-collapsed systems form ≈10% of the isolated halo population down to the same mass; these isolated, core-collapsed halos would host faint dwarf field galaxies with extremely steep central density profiles. Finally, most halos with masses above ≈10 ^9 M _⊙ are core-forming in our simulation. Our study thus demonstrates how self-interactions diversify halo populations in an environmentally dependent fashion within and surrounding MW-mass hosts, providing a compelling avenue to address the diverse dark matter distributions of observed dwarf galaxies.
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spelling doaj.art-74c2f9c94c744b05863e5075d8e0b1fc2023-09-03T10:44:25ZengIOP PublishingThe Astrophysical Journal1538-43572023-01-0194926710.3847/1538-4357/acc73eStrong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky WayDaneng Yang0https://orcid.org/0000-0002-5421-3138Ethan O. Nadler1https://orcid.org/0000-0002-1182-3825Hai-Bo Yu2https://orcid.org/0000-0002-8421-8597Department of Physics and Astronomy, University of California , Riverside, CA 92521, USA ; danengy@ucr.eduCarnegie Observatories , 813 Santa Barbara Street, Pasadena, CA 91101, USA ; enadler@carnegiescience.edu; Department of Physics & Astronomy, University of Southern California , Los Angeles, CA 90007, USA ; haiboyu@ucr.eduDepartment of Physics and Astronomy, University of California , Riverside, CA 92521, USA ; danengy@ucr.eduWe perform a high-resolution cosmological zoom-in simulation of a Milky Way (MW)–like system, which includes a realistic Large Magellanic Cloud analog, using a large differential elastic dark matter self-interaction cross section that reaches ≈100 cm ^2 g ^−1 at relative velocities of ≈10 km s ^−1 , motivated by the diverse and orbitally dependent central densities of dwarf galaxies within and surrounding the MW. We explore the effects of dark matter self-interactions on satellite, splashback, and isolated halos through their abundance, central densities, maximum circular velocities, orbital parameters, and correlations between these variables. We use an effective constant cross section model to analytically predict the stages of our simulated halos’ gravothermal evolution, demonstrating that deviations from the collisionless ${R}_{\max }$ – ${V}_{\max }$ relation can be used to select deeply core-collapsed halos, where ${V}_{\max }$ is a halo’s maximum circular velocity, and ${R}_{\max }$ is the radius at which it occurs. We predict that a sizable fraction (≈20%) of subhalos with masses down to ≈10 ^8 M _⊙ is deeply core collapsed in our SIDM model. Core-collapsed systems form ≈10% of the isolated halo population down to the same mass; these isolated, core-collapsed halos would host faint dwarf field galaxies with extremely steep central density profiles. Finally, most halos with masses above ≈10 ^9 M _⊙ are core-forming in our simulation. Our study thus demonstrates how self-interactions diversify halo populations in an environmentally dependent fashion within and surrounding MW-mass hosts, providing a compelling avenue to address the diverse dark matter distributions of observed dwarf galaxies.https://doi.org/10.3847/1538-4357/acc73eDark matterGalaxy abundancesN-body simulationsGalaxy dark matter halosComputational methods
spellingShingle Daneng Yang
Ethan O. Nadler
Hai-Bo Yu
Strong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky Way
The Astrophysical Journal
Dark matter
Galaxy abundances
N-body simulations
Galaxy dark matter halos
Computational methods
title Strong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky Way
title_full Strong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky Way
title_fullStr Strong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky Way
title_full_unstemmed Strong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky Way
title_short Strong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky Way
title_sort strong dark matter self interactions diversify halo populations within and surrounding the milky way
topic Dark matter
Galaxy abundances
N-body simulations
Galaxy dark matter halos
Computational methods
url https://doi.org/10.3847/1538-4357/acc73e
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