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We present the dynamical evolution of the dark matter's relaxation response to galaxies and their connection to the astrophysical properties as simulated in the IllustrisTNG suite of cosmological hydrodynamical simulations. Our results show…

宇宙学与河外天体物理 · 物理学 2025-01-10 Premvijay Velmani , Aseem Paranjape

On the scale of galactic haloes, the distribution of matter in the cosmos is affected by energetic, non-gravitational processes; so-called baryonic feedback. A lack of knowledge about the details of how feedback processes redistribute…

宇宙学与河外天体物理 · 物理学 2020-09-23 A. J. Mead , T. Tröster , C. Heymans , L. Van Waerbeke , I. G. McCarthy

The dark matter content of a gravitationally bound halo is known to be affected by the galaxy and gas it hosts. We characterise this response for haloes spanning over four orders of magnitude in mass in the hydrodynamical simulation suites…

星系天体物理 · 物理学 2023-02-08 Premvijay Velmani , Aseem Paranjape

Baryonic processes such as radiative cooling and feedback from massive stars and active galactic nuclei (AGN) directly redistribute baryons in the Universe but also indirectly redistribute dark matter due to changes in the gravitational…

The role of baryonic physics, star formation, and stellar feedback, in shaping the galaxies and their host halos is an evolving topic. The dark matter aspects are illustrated in this work by showing distribution features in a…

宇宙学与河外天体物理 · 物理学 2023-05-10 A. Núñez-Castiñeyra , E. Nezri , P. Mollitor , J. Devriendt , R. Teyssier

We explore three sets of cosmological hydrodynamical simulations, IllustrisTNG, EAGLE, and SIMBA, to investigate the physical processes impacting the distribution of baryons in and around haloes across an unprecedented mass range of…

星系天体物理 · 物理学 2023-07-19 Mohammadreza Ayromlou , Dylan Nelson , Annalisa Pillepich

We quantify the impact of galaxy formation on dark matter halo shapes using cosmological simulations at redshift $z=0$. The haloes are drawn from the IllustrisTNG project, a suite of magneto-hydrodynamic simulations of galaxies. We focus on…

星系天体物理 · 物理学 2022-08-03 Kun Ting Eddie Chua , Mark Vogelsberger , Annalisa Pillepich , Lars Hernquist

The baryonic physics shaping galaxy formation and evolution are complex, spanning a vast range of scales and making them challenging to model. Cosmological simulations rely on subgrid models that produce significantly different predictions.…

We use cosmological hydrodynamical simulations to investigate how the inclusion of physical processes relevant to galaxy formation (star formation, metal-line cooling, stellar winds, supernovae and feedback from Active Galactic Nuclei, AGN)…

We develop an extension of \textit{the Halo Model} that describes analytically the corrections to the matter power spectrum due to the physics of baryons. We extend these corrections to the weak-lensing shear angular power spectrum. Within…

宇宙学与河外天体物理 · 物理学 2014-10-28 Irshad Mohammed , Davide Martizzi , Romain Teyssier , Adam Amara

The back-reaction of baryons on the dark matter halo density profile is of great interest, not least because it is an important systematic uncertainty when attempting to detect the dark matter. Here, we draw on a large suite of high…

宇宙学与河外天体物理 · 物理学 2010-09-01 Alan R. Duffy , Joop Schaye , Scott T. Kay , Claudio Dalla Vecchia , Richard A. Battye , C. M. Booth

Future large-scale galaxy surveys have the potential to become leading probes for cosmology provided the influence of baryons on the total mass distribution is understood well enough. As hydrodynamical simulations strongly depend on details…

宇宙学与河外天体物理 · 物理学 2016-02-04 Aurel Schneider , Romain Teyssier

The clustering of matter, as measured by the matter power spectrum, informs us about dark matter and cosmology, as well as baryonic effects on the distribution of matter in the universe. Using cosmological hydrodynamical simulations from…

宇宙学与河外天体物理 · 物理学 2023-09-14 M. L. van Loon , Marcel P. van Daalen

We use the EAGLE suite of hydrodynamical simulations to analyse accretion rates (and the breakdown of their constituent channels) onto haloes over cosmic time, comparing the behaviour of baryons and dark matter (DM). We also investigate the…

星系天体物理 · 物理学 2020-08-19 Ruby J. Wright , Claudia del P. Lagos , Chris Power , Peter D. Mitchell

The formation of the disk and feedback from supernova winds impacts the distribution of dark matter in galaxies. Recently, Di Cintio et al. (2014b) characterized the halo response from baryonic processes in hydrodynamical simulations via a…

星系天体物理 · 物理学 2016-05-19 Andrew B. Pace

We study the effect of baryonic processes on the halo mass function in the galaxy cluster mass range using a catalogue of 153 high resolution cosmological hydrodynamical simulations performed with the AMR code ramses. We use the results of…

宇宙学与河外天体物理 · 物理学 2015-06-16 Davide Martizzi , Irshad Mohammed , Romain Teyssier , Ben Moore

We use numerical simulations to investigate how the statistical properties of dark matter (DM) haloes are affected by the baryonic processes associated with galaxy formation. We focus on how these processes influence the spin and shape of a…

宇宙学与河外天体物理 · 物理学 2015-06-05 S. E. Bryan , S. T. Kay , A. R. Duffy , J. Schaye , C. Dalla Vecchia , C. M. Booth

The extent to which galactic-scale astrophysical processes conspire with the underlying cosmological model to expel baryons from haloes remains a central question in galaxy formation. We present an analytical model for the gas distribution…

宇宙学与河外天体物理 · 物理学 2026-03-16 Oscar Veenema , Daniele Sorini , Sownak Bose

We use idealized 3D hydrodynamic simulations to study the dynamics and thermal structure of the circumgalactic medium (CGM). Our simulations quantify the role of cooling, stellar feedback driven galactic winds and cosmological gas accretion…

星系天体物理 · 物理学 2017-02-08 Drummond Fielding , Eliot Quataert , Michael McCourt , Todd A. Thompson

We quantify the cosmological spread of baryons relative to their initial neighboring dark matter distribution using thousands of state-of-the-art simulations from the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS)…

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