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相关论文: Semi-empirical Models of Galaxy Formation and Evol…

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We present a new, open source, free semi-analytic model (SAM) of galaxy formation, Shark, designed to be highly flexible and modular, allowing easy exploration of different physical processes and ways of modelling them. We introduce the…

We present constraints on the formation and evolution of early-type galaxies (ETGs) with the empirical model EMERGE. The parameters of this model are adjusted so that it reproduces the evolution of stellar mass functions, specific star…

星系天体物理 · 物理学 2020-10-14 Benjamin P. Moster , Thorsten Naab , Simon D. M. White

We summarize our detailed, physically grounded, model for the early co-evolution of spheroidal galaxies and of active nuclei at their centers (astro-ph/0307202). Our predictions are excellent agreement with observations for a number of…

天体物理学 · 物理学 2017-03-29 G. L. Granato , L. Silva , G. De Zotti , A. Bressan , L. Danese

Cosmological simulations are powerful tools in the context of structure formation. They allow us to explore the assembly and clustering of dark matter halos, to validate or reject possible scenarios of structure formation, and to…

宇宙学与河外天体物理 · 物理学 2025-02-12 Milena Valentini , Klaus Dolag

Galaxies are self-gravitating structures composed by several components encompassing spherical, axial and triaxial symmetry. Although real systems feature heterogeneous components whose properties are intimately connected, semi-analytical…

星系天体物理 · 物理学 2021-02-03 Matteo Bonetti , Elisa Bortolas , Alessandro Lupi , Massimo Dotti

The forwards approach to galaxy formation and evolution is extremely powerful but leaves several questions unanswered. Foremost among these is the origin of disks. A backwards approach is able to provide a more realistic treatment of star…

天体物理学 · 物理学 2009-10-31 Joseph Silk , Rychard J. Bouwens

Semi-supervised learning aims to learn prediction models from both labeled and unlabeled samples. There has been extensive research in this area. Among existing work, generative mixture models with Expectation-Maximization (EM) is a popular…

机器学习 · 计算机科学 2020-08-31 Wenchong He , Zhe Jiang

We use a gaseous model and a semi-analytical approach to study the evolution of a super-massive central gaseous object (a super-massive star, (SMS from now on) in an AGN and its evolution by interactions with the surrounding stellar system.…

天体物理学 · 物理学 2009-11-07 Pau Amaro-Seoane , Rainer Spurzem , Andreas Just

Planet formation models have been developed during the last years in order to try to reproduce the observations of both the solar system, and the extrasolar planets. Some of these models have partially succeeded, focussing however on…

地球与行星天体物理 · 物理学 2015-06-16 Y. Alibert , F. Carron , A. Fortier , S. Pfyffer , W. Benz , C. Mordasini , D. Swoboda

Attenuation of high--energy gamma rays by pair--production with UV, optical and IR background photons provides a link between the history of galaxy formation and high--energy astrophysics. We present results from our latest semi-analytic…

天体物理学 · 物理学 2009-11-13 Joel R. Primack , Rudy C. Gilmore , Rachel S. Somerville

We study the cosmological build-up of pseudobulges using the LGalaxies semi-analytical model for galaxy formation with a new approach for following separately the assembly of classical bulges and pseudobulges. Classical bulges are assumed…

Deep semi-supervised learning is a fast-growing field with a range of practical applications. This paper provides a comprehensive survey on both fundamentals and recent advances in deep semi-supervised learning methods from perspectives of…

机器学习 · 计算机科学 2023-10-31 Xiangli Yang , Zixing Song , Irwin King , Zenglin Xu

Major progress has been made over the last few years in understanding hydrodynamical processes on cosmological scales, in particular how galaxies get their baryons. There is increasing recognition that a large part of the baryons accrete…

宇宙学与河外天体物理 · 物理学 2015-05-19 Frederic Bournaud

[abridged] It has been widely claimed that several lines of observational evidence point towards a "downsizing" (DS) of the process of galaxy formation over cosmic time. This behavior is sometimes termed "anti-hierarchical", and contrasted…

宇宙学与河外天体物理 · 物理学 2015-05-13 Fabio Fontanot , Gabriella De Lucia , Pierluigi Monaco , Rachel S. Somerville , Paola Santini

We present a simple semi-numerical model designed to explore black hole growth and galaxy evolution. This method builds on a previous model for black hole accretion that uses a semi-numerical galaxy formation model and universal Eddington…

星系天体物理 · 物理学 2019-09-04 Mackenzie L. Jones , R. C. Hickox , S. J. Mutch , D. J. Croton , A. F. Ptak , M. A. DiPompeo

Semi-analytic models (SAMs) are a promising means of tracking the physical processes associated with galaxy formation, but many of their approximations have not been rigorously tested. As part of the SMAUG (Simulating Multiscale…

In this thesis, we aim to further elucidate the phenomenon of galaxy evolution in the environment of galaxy clusters using the methodology of numerical simulations. For that, we have developed hydrodynamic models in which idealized gas-rich…

星系天体物理 · 物理学 2019-02-15 Rafael Ruggiero

The formation of Hoag-type galaxies with central spheroidal galaxies and outer stellar rings has yet to be understood in astronomy. We consider that these unique objects were formed from the past interaction between elliptical galaxies and…

天体物理仪器与方法 · 物理学 2019-04-08 Eleanor Leung , Kenji Bekki , Lyndon While

We present a method that calibrates a semi-analytic model to the Renaissance Simulations, a suite of cosmological hydrodynamical simulations with high-redshift galaxy formation. This approach combines the strengths of semi-analytic…

星系天体物理 · 物理学 2024-03-12 Ryan Hazlett , Mihir Kulkarni , Eli Visbal , John H. Wise

A key yet unresolved question in modern-day astronomy is how galaxies formed and evolved under the paradigm of the $\Lambda$CDM model. A critical limiting factor lies in the lack of robust tools to describe the merger history through a…

星系天体物理 · 物理学 2022-07-07 Kwok Sun Tang , Yuan-Sen Ting