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The tidal evolution of dark matter substructure – II. The impact of artificial disruption on subhalo mass functions and radial profiles

Green, Sheridan B. and van den Bosch, Frank C. and Jiang, Fangzhou (2021) The tidal evolution of dark matter substructure – II. The impact of artificial disruption on subhalo mass functions and radial profiles. Monthly Notices of the Royal Astronomical Society, 503 (3). pp. 4075-4091. ISSN 0035-8711. doi:10.1093/mnras/stab696.

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Several recent studies have indicated that artificial subhalo disruption (the spontaneous, non-physical disintegration of a subhalo) remains prevalent in state-of-the-art dark matter (DM)-only cosmological simulations. In order to quantify the impact of disruption on the inferred subhalo demographics, we augment the semi-analytical SatGen dynamical subhalo evolution model with an improved treatment of tidal stripping that is calibrated using the Dynamical Aspects of SubHaloes database of idealized high-resolution simulations of subhalo evolution, which are free from artificial disruption. We also develop a model of artificial disruption that reproduces the statistical properties of disruption in the Bolshoi simulation. Using this framework, we predict subhalo mass functions (SHMFs), number density profiles, and substructure mass fractions and study how these quantities are impacted by artificial disruption and mass resolution limits. We find that artificial disruption affects these quantities at the 10−20 per cent level, ameliorating previous concerns that it may suppress the SHMF by as much as a factor of 2. We demonstrate that semi-analytical substructure modelling must include orbit integration in order to properly account for splashback haloes, which make up roughly half of the subhalo population. We show that the resolution limit of N-body simulations, rather than artificial disruption, is the primary cause of the radial bias in subhalo number density found in DM-only simulations. Hence, we conclude that the mass resolution remains the primary limitation of using such simulations to study subhaloes. Our model provides a fast, flexible, and accurate alternative to studying substructure statistics in the absence of both numerical resolution limits and artificial disruption.

Item Type:Article
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URLURL TypeDescription Paper ItemData ItemCode
Green, Sheridan B.0000-0001-9100-6237
van den Bosch, Frank C.0000-0003-3236-2068
Jiang, Fangzhou0000-0001-6115-0633
Additional Information:© 2021 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Accepted 2021 February 23. Received 2021 February 12; in original form 2020 December 18. Published: 10 March 2021. The authors thank Uddipan Banik, Nicole Drakos, Dhruba Dutta Chowdhury, Zhaozhou Li, and Go Ogiya for helpful conversations throughout the development of this work. SBG is supported by the US National Science Foundation Graduate Research Fellowship under Grant No. DGE-1752134. FCvdB is supported by the National Aeronautics and Space Administration through Grant No. 17-ATP17-0028 issued as part of the Astrophysics Theory Program. FJ is supported by the Troesh Fellowship from the California Institute of Technology. Data Availability: The DASH simulation data is available online.(14) The updated SatGen library is available in the sheridan branch of the SatGen GitHub repository.(15)
Funding AgencyGrant Number
NSF Graduate Research FellowshipDGE-1752134
Subject Keywords:methods: numerical – galaxies: haloes – dark matter
Issue or Number:3
Record Number:CaltechAUTHORS:20210611-141829220
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Official Citation:Sheridan B Green, Frank C van den Bosch, Fangzhou Jiang, The tidal evolution of dark matter substructure – II. The impact of artificial disruption on subhalo mass functions and radial profiles, Monthly Notices of the Royal Astronomical Society, Volume 503, Issue 3, May 2021, Pages 4075–4091,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:109486
Deposited By: Tony Diaz
Deposited On:11 Jun 2021 21:31
Last Modified:11 Jun 2021 21:31

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