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相关论文: A Comparison between Semi-Analytic Model Predictio…

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Galaxy formation and evolution models, such as semi-analytic models, are powerful theoretical tools for predicting how galaxies evolve across cosmic time. These models follow the evolution of galaxies based on the halo assembly histories…

In $\Lambda$CDM cosmology, galaxies form and evolve in their host dark matter (DM) halos. Halo mass is crucial for understanding the halo-galaxy connection. The abundance matching (AM) technique has been widely used to derive the halo…

We conduct Bayesian model inferences from the observed K-band luminosity function of galaxies in the local Universe, using the semi-analytic model (SAM) of galaxy formation introduced in Lu et al (2011). The prior distributions for the 14…

宇宙学与河外天体物理 · 物理学 2012-02-03 Yu Lu , H. J. Mo , Neal Katz , Martin D. Weinberg

Being able to distinguish between galaxies that have recently undergone major merger events, or are experiencing intense star formation, is crucial for making progress in our understanding of the formation and evolution of galaxies. As…

星系天体物理 · 物理学 2022-06-01 Leonardo Ferreira , Christopher J. Conselice , Ulrike Kuchner , Clar-Bríd Tohill

We introduce methods which allow observed galaxy clustering to be used together with observed luminosity or stellar mass functions to constrain the physics of galaxy formation. We show how the projected two-point correlation function of…

星系天体物理 · 物理学 2016-03-02 Marcel P. van Daalen , Bruno M. B. Henriques , Raul E. Angulo , Simon D. M. White

We use a cosmological hydrodynamic simulation calculated with Enzo and the semi-analytic galaxy formation model (SAM) GAMMA to address the chemical evolution of dwarf galaxies in the early universe. The long-term goal of the project is to…

星系天体物理 · 物理学 2018-06-06 Benoit Côté , Devin Silvia , Brian W. O'Shea , Britton Smith , John H. Wise

Different methodologies lead to order-of-magnitude variations in predicted galaxy merger rates. We examine and quantify the dominant uncertainties. Different halo merger rates and subhalo 'destruction' rates agree to within a factor ~2…

We compare galaxy morphology predicted by the Illustris hydrodynamical simulation and a semi-analytic model (SAM) grafted in the halo merger trees from the Illustris-Dark matter simulation. Morphology is classified according to the luminous…

星系天体物理 · 物理学 2019-03-15 Lan Wang , Dandan Xu , Liang Gao , Qi Guo , Yan Qu , Jun Pan

Observational systematics complicate comparisons with theoretical models limiting understanding of galaxy evolution. In particular, different empirical determinations of the stellar mass function imply distinct mappings between the galaxy…

星系天体物理 · 物理学 2019-12-04 Philip J. Grylls , F. Shankar , J. Leja , N. Menci , B. Moster , P. Behroozi , L. Zanisi

We predict the observable properties of the galaxy population in popular hierarchical models of galaxy formation. We employ a detailed semianalytic procedure which incorporates the formation and merging of dark matter halos, the shock…

天体物理学 · 物理学 2015-06-24 Jeremy S. Heyl , Shaun Cole , Carlos S. Frenk , Julio F. Navarro

We present a new model to describe the galaxy-dark matter connection across cosmic time, which unlike the popular subhalo abundance matching technique is self-consistent in that it takes account of the facts that (i) subhalos are accreted…

宇宙学与河外天体物理 · 物理学 2015-05-30 Xiaohu Yang , H. J. Mo , Frank C. van den Bosch , Youcai Zhang , Jiaxin Han

We examine the present-day total stellar-to-halo mass (SHM) ratio as a function of halo mass for a new sample of simulated field galaxies using fully cosmological, LCDM, high resolution SPH + N-Body simulations.These simulations include an…

宇宙学与河外天体物理 · 物理学 2015-06-11 Ferah Munshi , F. Governato , A. M. Brooks , C. Christensen , S. Shen , S. Loebman , B. Moster , T. Quinn , J. Wadsley

A simple, 1-equation, galaxy formation model is applied to both the halo merger tree derived from a high-resolution dissipationless cosmological simulation and to 1/4 million Monte-Carlo halo merger trees. The galaxy formation model…

宇宙学与河外天体物理 · 物理学 2015-05-27 Gary A. Mamon , Dylan Tweed , Trinh X. Thuan , Andrea Cattaneo

Cosmological hydrodynamical simulations are studied in order to analyse generic trends for the stellar, baryonic and halo mass assembly of low-mass galaxies (M_* < 3 x 10^10 M_sun) as a function of their present halo mass, in the context of…

宇宙学与河外天体物理 · 物理学 2015-06-16 Maria E. De Rossi , Vladimir Avila-Reese , Patricia B. Tissera , Alejandro Gonzalez-Samaniego , Susana Pedrosa

We present STEEL a STatistical sEmi-Empirical modeL designed to probe the distribution of satellite galaxies in groups and clusters. Our fast statistical methodology relies on tracing the abundances of central and satellite haloes via their…

星系天体物理 · 物理学 2018-12-04 P. J. Grylls , F. Shankar , L. Zanisi , M. Bernardi

We compare the statistical properties of galaxies found in two different models of hierarchical galaxy formation: the semi-analytic model of Cole et al. and the smoothed particle hydrodynamics (SPH) simulations of Pearce et al. Using a…

天体物理学 · 物理学 2009-10-31 A. J. Benson , F. R. Pearce , C. S. Frenk , C. M. Baugh , A. Jenkins

We present a new semi-analytical model of galaxy formation, GECO (Galaxy Evolution COde), aimed at a better understanding of when and how the two processes of star formation and galaxy assembly have taken place. Our model is structured into…

宇宙学与河外天体物理 · 物理学 2015-05-18 E. Ricciardelli , A. Franceschini

A semi-analytic model is proposed that couples the Press-Schechter formalism for the number of galaxies with a prescription for galaxy-galaxy interactions that enables to follow the evolution of galaxy morphologies along the Hubble…

天体物理学 · 物理学 2009-11-07 Christophe Balland , Julien E. G. Devriendt , Joe Silk

We study the correlation between the specific star formation rate of central galaxies and neighbour galaxies, also known as 'galactic conformity', out to 20 Mpc/h using three semi-analytic models (SAMs, one from L-GALAXIES and other two…

星系天体物理 · 物理学 2018-01-31 Ivan Lacerna , Sergio Contreras , Roberto E. González , Nelson Padilla , Violeta Gonzalez-Perez