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相关论文: Testing subhalo abundance matching from redshift-s…

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We test the history of structure formation from redshift 1 to today by matching galaxies from VIPERS and SDSS with dark matter haloes in the MultiDark SMDPL N-body simulation. We first show that the standard subhalo abundance matching…

宇宙学与河外天体物理 · 物理学 2022-03-03 Benjamin R. Granett , Ginevra Favole , Antonio D. Montero-Dorta , Enzo Branchini , Luigi Guzzo , Sylvain de la Torre

We use subhalo abundance and age distribution matching to create magnitude-limited mock galaxy catalogs at $z\sim0.43$, $0.52$, and $0.63$ with $z$-band and $3.4$ micron $W1$-band absolute magnitudes and ${r-z}$ and ${r-W1}$ colors. From…

宇宙学与河外天体物理 · 物理学 2023-06-26 Angela M. Berti , Kyle S. Dawson , Wilber Dominguez

We provide new constraints on the connection between galaxies in the local universe, identified by the Sloan Digital Sky Survey (SDSS), and dark matter halos and their constituent substructures in the $\Lambda$CDM model using WMAP7…

宇宙学与河外天体物理 · 物理学 2013-06-20 Rachel M. Reddick , Risa H. Wechsler , Jeremy L. Tinker , Peter S. Behroozi

We present an analytic formula for the galaxy bispectrum in redshift space on the basis of the halo approach description with the halo occupation distribution of central galaxies and satellite galaxies. This work is an extension of a…

宇宙学与河外天体物理 · 物理学 2017-03-01 Kazuhiro Yamamoto , Yue Nan , Chiaki Hikage

Subhalo abundance matching (SHAM) is a commonly used framework for modeling the galaxy-halo connection. Yet, its standard implementation has difficulty reproducing the observed galaxy clustering with high accuracy (e.g.,…

星系天体物理 · 物理学 2026-04-08 Xiaoju Xu , Xiaohu Yang , Zhongxu Zhai , Yiyang Guo , Yizhou Gu , Yirong Wang , Jiaxin Han , Zhenlin Tan , Junde Li

We present a computational framework for "painting" galaxies on top of the Dark Matter Halo/Sub-Halo hierarchy obtained from N-body simulations. The method we use is based on the sub-halo clustering and abundance matching (SCAM) scheme…

宇宙学与河外天体物理 · 物理学 2024-02-15 Tommaso Ronconi , Andrea Lapi , Matteo Viel , Alberto Sartori

We have studied the galaxy-group cross-correlations in redshift space for the Galaxy And Mass Assembly (GAMA) Survey. We use a set of mock GAMA galaxy and group catalogues to develop and test a novel 'halo streaming' model for…

宇宙学与河外天体物理 · 物理学 2022-09-21 Qianjun Hang , John A. Peacock , Shadab Alam , Yan-Chuan Cai , Katarina Kraljic , Marcel van Daalen , M. Bilicki , B. W. Holwerda , J. Loveday

SubHalo Abundance Matching (SHAM) assumes that one (sub)halo property, such as mass Mvir or peak circular velocity Vpeak, determines properties of the galaxy hosted in each (sub)halo such as its luminosity or stellar mass. This assumption…

星系天体物理 · 物理学 2018-02-21 Radu Dragomir , Aldo Rodriguez-Puebla , Joel R. Primack , Christoph T. Lee

We explore two widely used empirical models for the galaxy-halo connection, subhalo abundance matching (SHAM) and the halo occupation distribution (HOD) and compare their predictions with the hydrodynamical simulation IllustrisTNG (TNG) for…

宇宙学与河外天体物理 · 物理学 2020-12-16 Boryana Hadzhiyska , Sownak Bose , Daniel Eisenstein , Lars Hernquist

Subhalo abundance matching (SHAM) has played an important role in improving our understanding of how galaxies populate their host dark matter halos. In essence, the SHAM framework is to find a dark matter halo property that best correlates…

星系天体物理 · 物理学 2023-03-08 Chen-Yu Chuang , Yen-Ting Lin

Comparisons between observational surveys and galaxy formation models find that the mass of dark matter haloes can largely explain galaxies' stellar mass. However, it remains uncertain whether additional environmental variables, generally…

Accurate predictions of the abundance and clustering of dark matter haloes play a key role in testing the standard cosmological model. Here, we investigate the accuracy of one of the leading methods of connecting the simulated dark matter…

宇宙学与河外天体物理 · 物理学 2013-10-15 Anatoly Klypin , Francisco Prada , Gustavo Yepes , Steffen Hess , Stefan Gottlober

We present a new method that simultaneously solves for cosmology and galaxy bias on non-linear scales. The method uses the halo model to analytically describe the (non-linear) matter distribution, and the conditional luminosity function…

宇宙学与河外天体物理 · 物理学 2015-06-05 Frank van den Bosch , Surhud More , Marcello Cacciato , Houjun Mo , Xiaohu Yang

We use a statistical approach to determine the relationship between the stellar masses of galaxies and the masses of the dark matter halos in which they reside. We obtain a parameterized stellar-to-halo mass (SHM) relation by populating…

We present a Halo Occupation Distribution (HOD) analysis of the luminosity- and colour-dependent galaxy clustering in the Sloan Digital Sky Survey. A novelty of our technique is that it uses a combination of clustering measurements in…

宇宙学与河外天体物理 · 物理学 2019-07-10 Niladri Paul , Isha Pahwa , Aseem Paranjape

We propose a novel subhalo abundance matching (SHAM) model that uses the virial mass of the main progenitor of each (sub)halo $M_{\rm prog}$ as a proxy of the galaxy stellar mass $M_*$ at the time of observation. This $M_{\rm prog}$ model…

星系天体物理 · 物理学 2023-06-28 Shogo Masaki , Daichi Kashino , Shogo Ishikawa , Yen-Ting Lin

We develop a novel abundance matching method to construct a mock catalog of luminous red galaxies (LRGs) in SDSS, using catalogs of halos and subhalos in N-body simulations for a LCDM model. Motivated by observations suggesting that LRGs…

宇宙学与河外天体物理 · 物理学 2015-06-12 Shogo Masaki , Chiaki Hikage , Masahiro Takada , David N. Spergel , Naoshi Sugiyama

We present measurements of the luminosity and color-dependence of galaxy clustering at 0.2<z<1.0 in the PRIsm MUlti-object Survey (PRIMUS). We quantify the clustering with the redshift-space and projected two-point correlation functions,…

Successful halo-model descriptions of the luminosity dependence of clustering distinguish between the central galaxy in a halo and all the others (satellites). To include colors, we provide a prescription for how the color-magnitude…

天体物理学 · 物理学 2009-06-23 Ramin A. Skibba , Ravi K. Sheth