HIKER: a halo-finding method based on kernel-shift algorithm

We introduce a new halo/subhalo finder, HIKER (a Halo fInder based on KERnel-shift algorithm), which takes advantage of a machine learning method -- the mean-shift algorithm combined with the Plummer kernel function, to effectively locate density peaks corresponding to halos/subhalos in density fiel...

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Veröffentlicht in:	arXiv.org 2019-10
Hauptverfasser:	Sun, Shuangpeng, Liao, Shihong, Guo, Qi, Wang, Qiao, Gao, Liang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer simulation Dark matter Density Galactic halos Kernel functions Machine learning Physics - Cosmology and Nongalactic Astrophysics Substructures
Online-Zugang:	Volltext
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