Galaxy velocity bias in cosmological simulations: towards per cent-level calibration

被引：16

作者：

Anbajagane, Dhayaa ^{[1
,2
,3
]}

Aung, Han ^{[4
]}

Evrard, August E. ^{[2
,3
,5
]}

Farahi, Arya ^{[6
,7
]}

Nagai, Daisuke ^{[4
,8
]}

Barnes, David J. ^{[9
]}

Cui, Weiguang ^{[10
]}

Dolag, Klaus ^{[11
,12
]}

McCarthy, Ian G. ^{[13
]}

Rasia, Elena ^{[14
,15
]}

Yepes, Gustavo ^{[16
,17
]}

机构：

[1] Univ Chicago, Dept Astron & Astrophys, 5640 S Ellis Ave, Chicago, IL 60637 USA

[2] Univ Michigan, Dept Phys, Ann Arbor, MI 48109 USA

[3] Univ Michigan, Leinweber Ctr Theoret Phys, Ann Arbor, MI 48109 USA

[4] Yale Univ, Dept Phys, New Haven, CT 06520 USA

[5] Univ Michigan, Dept Astron, Ann Arbor, MI 48109 USA

[6] Univ Michigan, Michigan Inst Data Sci, Ann Arbor, MI 48109 USA

[7] Univ Texas Austin, Dept Stat & Data Sci, Austin, TX 78712 USA

[8] Yale Univ, Dept Astron, New Haven, CT 06520 USA

[9] MIT, Kavli Inst Astrophys & Space Res, Cambridge, MA 02139 USA

[10] Univ Edinburgh, Inst Astron, Edinburgh EH9 3HJ, Midlothian, Scotland

[11] Max Planck Inst Astrophys, Karl Schwarzschild Str 1, D-85741 Garching, Germany

[12] Univ Observ Munich, Fac Phys, Scheinerstr 1, D-81679 Munich, Germany

[13] Liverpool John Moores Univ, Astrophys Res Inst, 146 Brownlow Hill, Liverpool L3 5RF, Merseyside, England

[14] INAF, Osservatorio Astron Trieste, Via Tiepolo 11, I-34131 Trieste, Italy

[15] IFPU Inst Fundamental Phys Universe, Via Beirut 2, I-34014 Trieste, Italy

[16] Univ Autonoma Madrid, Fac Ciencias, Dept Fis Teor M8, E-28049 Madrid, Spain

[17] Univ Autonoma Madrid, Fac Ciencias, CIAFF, E-28049 Madrid, Spain

来源：

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2022年 / 510卷 / 02期

基金：

英国科学技术设施理事会; 欧洲研究理事会; 美国国家科学基金会;

关键词：

methods: statistical; galaxies: haloes; galaxies: kinematics and dynamics; HALO OCCUPATION DISTRIBUTION; LENSING MASS CALIBRATION; LARGE-SCALE STRUCTURE; DIGITAL SKY SURVEY; DARK-MATTER; ILLUSTRISTNG SIMULATIONS; HYDRODYNAMICAL SIMULATIONS; CLUSTERS; DISPERSION; EVOLUTION;

D O I：

10.1093/mnras/stab3587

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Galaxy cluster masses, rich with cosmological information, can be estimated from internal dark matter (DM) velocity dispersions, which in turn can be observationally inferred from satellite galaxy velocities. However, galaxies are biased tracers of the DM, and the bias can vary over host halo and galaxy properties as well as time. We precisely calibrate the velocity bias, b(v) - defined as the ratio of galaxy and DM velocity dispersions - as a function of redshift, host halo mass, and galaxy stellar mass threshold (M-star,M-sat), for massive haloes (M-200c > 10(13.5) M-circle dot) from five cosmological simulations: IllustrisTNG, Magneticum, Bahamas + Macsis, The Three Hundred Project, and MultiDark Planck-2. We first compare scaling relations for galaxy and DM velocity dispersion across simulations; the former is estimated using a new ensemble velocity likelihood method that is unbiased for low galaxy counts per halo, while the latter uses a local linear regression. The simulations show consistent trends of b(v) increasing with M 200c and decreasing with redshift and M-star,M-sat. The ensemble-estimated theoretical uncertainty in b(v) is 2-3 per cent, but becomes percent-level when considering only the three highest resolution simulations. We update the mass-richness normalization for an SDSS redMaPPer cluster sample, and find our improved b(v) estimates reduce the normalization uncertainty from 22 to 8 per cent, demonstrating that dynamical mass estimation is competitive with weak lensing mass estimation. We discuss necessary steps for further improving this precision. Our estimates for b(v) (M-200c, M-star,M-sat,M- z) are made publicly available.

引用

页码：2980 / +

页数：19

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