2018
DOI: 10.15407/ujpe63.9.769
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New Model of Density Distribution for Fermionic Dark Matter Halos

Abstract: PACSIn this paper, we formulate a new model of density distribution for halos made of warm dark matter (WDM) particles. The model is described by a single microphysics parameter the mass (or, equivalently, the maximal value of the initial phase-space density distribution) of dark matter particles. Given the WDM particle mass and the parameters of a dark matter density profile at the halo periphery, this model predicts the inner density profile. In case of initial Fermi-Dirac distribution, we successfully repro… Show more

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Cited by 1 publication
(9 citation statements)
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References 92 publications
(147 reference statements)
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“…We call the obtained profile tNFW (stands for truncated Navarro-Frenk-White) hereafter. The density profiles obtained in this model are in a good agreement with numerical N-body simulations (Shao et al 2013;Macciò et al 2013a,b), see more in Rudakovskyi & Savchenko (2018). Given the density distribution of a dark matter halo, we follow the logic of Domcke & Urbano (2015) and Di Paolo et al (2018) to obtain the velocity dispersion along the line of sight.…”
Section: Methodssupporting
confidence: 78%
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“…We call the obtained profile tNFW (stands for truncated Navarro-Frenk-White) hereafter. The density profiles obtained in this model are in a good agreement with numerical N-body simulations (Shao et al 2013;Macciò et al 2013a,b), see more in Rudakovskyi & Savchenko (2018). Given the density distribution of a dark matter halo, we follow the logic of Domcke & Urbano (2015) and Di Paolo et al (2018) to obtain the velocity dispersion along the line of sight.…”
Section: Methodssupporting
confidence: 78%
“…for the subsequent step. Rudakovskyi & Savchenko (2018) shows good convergence of this procedure after several iterations. We call the obtained profile tNFW (stands for truncated Navarro-Frenk-White) hereafter.…”
Section: Methodsmentioning
confidence: 64%
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