Baryonic imprints on DM haloes: population statistics from dwarf galaxies to galaxy clusters

被引:32
作者
Anbajagane, Dhayaa [1 ,2 ,3 ]
Evrard, August E. [2 ,3 ,4 ]
Farahi, Arya [5 ,6 ]
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] Univ Michigan, Dept Astron, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Michigan Inst Data Sci, Ann Arbor, MI 48109 USA
[6] Univ Texas Austin, Dept Stat & Data Sci, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
galaxies: haloes; galaxies: statistics; dark matter; DARK-MATTER HALOES; CONCENTRATION-REDSHIFT RELATION; STELLAR MASS; ILLUSTRISTNG SIMULATIONS; COSMOLOGICAL SIMULATIONS; STAR-FORMATION; HYDRODYNAMICAL SIMULATIONS; VELOCITY DISTRIBUTION; BLACK-HOLES; SHAPE;
D O I
10.1093/mnras/stab3177
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
In a purely cold dark matter (CDM) universe, the initial matter power spectrum and its subsequent gravitational growth contain no special mass- or time-scales, and so neither do the emergent population statistics of internal dark matter (DM) halo properties. Using 1.5 million haloes from three ILLUSTRISTNG realizations of a ACDM universe, we show that galaxy formation physics drives non-monotonic features ('wiggles') into DM property statistics across six decades in halo mass, from dwarf galaxies to galaxy clusters. We characterize these features by extracting the halo mass-dependent statistics of five DM halo properties - velocity dispersion, NFW concentration, density- and velocity-space shapes, and formation time - using kernel-localized linear regression (KLLR). Comparing precise estimates of normalizations, slopes, and covariances between realizations with and without galaxy formation, we find systematic deviations across all mass-scales, with maximum deviations of 25 per cent at the Milky Way mass of 10(12) M-circle dot. The mass-dependence of the wiggles is set by the interplay between different cooling and feedback mechanisms, and we discuss its observational implications. The property covariances depend strongly on halo mass and physics treatment, but the correlations are mostly robust. Using multivariate KLLR and interpretable machine learning, we show the halo concentration and velocity-space shape are principal contributors, at different mass, to the velocity dispersion variance. Statistics of mass accretion rate and DM surface pressure energy are provided in an appendix. We publicly release halo property catalogues and KLLR parameters for the TNG runs at 20 epochs up to z = 12.
引用
收藏
页码:3441 / 3461
页数:21
相关论文
共 151 条
[1]   Galaxy-induced transformation of dark matter haloes [J].
Abadi, Mario G. ;
Navarro, Julio F. ;
Fardal, Mark ;
Babul, Arif ;
Steinmetz, Matthias .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2010, 407 (01) :435-446
[2]   Planck 2015 results XVII. Constraints on primordial non-Gaussianity [J].
Ade, P. A. R. ;
Aghanim, N. ;
Arnaud, M. ;
Arrojam, F. ;
Ashdown, M. ;
Aumont, J. ;
Baccigalupi, C. ;
Ballardini, M. ;
Banday, A. J. ;
Barreiro, R. B. ;
Bartolo, N. ;
Basak, S. ;
Battaner, E. ;
Benabed, K. ;
Benoit, A. ;
Benoit-Levy, A. ;
Bernard, J. -P. ;
Bersanelli, M. ;
Bielewicz, P. ;
Bock, J. J. ;
Bonaldi, A. ;
Bonavera, L. ;
Bond, J. R. ;
Borrill, J. ;
Bouchet, F. R. ;
Boulanger, F. ;
Bucher, M. ;
Burigana, C. ;
Butler, R. C. ;
Calabrese, E. ;
Cardoso, J. -F. ;
Catalano, A. ;
Challinor, A. ;
Chamballu, A. ;
Chiang, H. C. ;
Christensen, P. R. ;
Church, S. ;
Clements, D. L. ;
Colombi, S. ;
Colombo, L. P. L. ;
Combet, C. ;
Couchot, F. ;
Coulais, A. ;
Crill, B. P. ;
Curto, A. ;
Cuttaia, F. ;
Danese, L. ;
Davies, R. D. ;
Davis, R. J. ;
de Bernardis, P. .
ASTRONOMY & ASTROPHYSICS, 2016, 594
[3]   Cosmological Parameters from Observations of Galaxy Clusters [J].
Allen, Steven W. ;
Evrard, August E. ;
Mantz, Adam B. .
ANNUAL REVIEW OF ASTRONOMY AND ASTROPHYSICS, VOL 49, 2011, 49 :409-470
[4]   The shape of dark matter haloes: dependence on mass, redshift, radius and formation [J].
Allgood, B ;
Flores, RA ;
Primack, JR ;
Kravtsov, AV ;
Wechsler, RH ;
Faltenbacher, A ;
Bullock, JS .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2006, 367 (04) :1781-1796
[5]  
Anbajagane D., 2021, ARXIV211001683
[6]   Stellar property statistics of massive haloes from cosmological hydrodynamics simulations: common kernel shapes [J].
Anbajagane, Dhayaa ;
Evrard, August E. ;
Farahi, Arya ;
Barnes, David J. ;
Dolag, Klaus ;
McCarthy, Ian G. ;
Nelson, Dylan ;
Pillepich, Annalisa .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2020, 495 (01) :686-704
[7]  
[Anonymous], 2010, ARXIV10102539
[8]   The Cluster-EAGLE project: velocity bias and the velocity dispersion-mass relation of cluster galaxies [J].
Armitage, Thomas J. ;
Barnes, David. J. ;
Kay, Scott. T. ;
Bahe, Yannick M. ;
Dalla Vecchia, Claudio ;
Crain, Robert A. ;
Theuns, Tom .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2018, 474 (03) :3746-3759
[9]   UNIVERSEMACHINE: The correlation between galaxy growth and dark matter halo assembly from z=0-10 [J].
Behroozi, Peter ;
Wechsler, Risa H. ;
Hearin, Andrew P. ;
Conroy, Charlie .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2019, 488 (03) :3143-3194
[10]   THE AVERAGE STAR FORMATION HISTORIES OF GALAXIES IN DARK MATTER HALOS FROM z=0-8 [J].
Behroozi, Peter S. ;
Wechsler, Risa H. ;
Conroy, Charlie .
ASTROPHYSICAL JOURNAL, 2013, 770 (01)