2019
DOI: 10.1093/mnras/stz375
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DASH: a library of dynamical subhalo evolution

Abstract: The abundance and demographics of dark matter substructure is important for many areas in astrophysics and cosmological N-body simulations have been the primary tool used to investigate them. However, it has recently become clear that the simulations are subject to numerical artefacts, which hampers a proper treatment of the tidal evolution of subhaloes. Unfortunately, no analytical models that accurately describe subhalo evolution exist either. We therefore present a library of idealized, high resolution N-bo… Show more

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Cited by 61 publications
(114 citation statements)
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“…Density profile P (R) of a subhalo simulated by Ref [127]. after 7 Gyr of tidal evolution; the host, subhalo, and orbital properties are similar to those of the Milky Way-Draco system.…”
mentioning
confidence: 75%
“…Density profile P (R) of a subhalo simulated by Ref [127]. after 7 Gyr of tidal evolution; the host, subhalo, and orbital properties are similar to those of the Milky Way-Draco system.…”
mentioning
confidence: 75%
“…The tidally stripped material thus exerts a net drag force onto the binary (e.g. Fujii et al 2006;Fellhauer & Lin 2007;van den Bosch & Ogiya 2018;Ogiya et al 2019).…”
Section: Effective Drag Force By Stripped Starsmentioning
confidence: 99%
“…More recently, Green & van den Bosch (2019), provided an updated version of the fits given in Hayashi et al (2003); in this work they used the DASH smulations (Ogiya et al 2019), which are a suite of idealized minor merger simulations between NFW haloes. The advantages of these simulations over those used in Hayashi et al (2003) are that they have been carefully calibrated against numerical effects, they have initial conditions constructed from the full theoretical DF, and they consider different satellite concentrations.…”
Section: Model Comparisonsmentioning
confidence: 99%
“…given by: In their recent paper, have provided an update to the empirical model proposed by Hayashi et al (2003). While they still only consider NFW profiles, they vastly improve the accuracy of the model by using the publically available DASH simulations (Ogiya et al 2019). This library of simulations are carefully initialized by sampling the DF (rather than the Maxwellian approximation used in Hayashi et al (2003)).…”
Section: B23 Stepmentioning
confidence: 99%
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