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Related papers: The GalMer database: Galaxy Mergers in the Virtual…

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Galaxy mergers are crucial to understanding galaxy evolution, therefore we must determine their observational signatures to select them from large IFU galaxy samples such as MUSE and SAMI. We employ 24 high-resolution idealised…

Cosmologists at the Institute of Computational Cosmology, Durham University, have developed a state of the art model of galaxy formation known as Galform, intended to contribute to our understanding of the formation, growth and subsequent…

Methodology · Statistics 2014-05-21 Ian Vernon , Michael Goldstein , Richard Bower

We present a study of galaxy mergers up to $z=10$ using the Planck Millennium cosmological dark matter simulation and the {\tt GALFORM} semi-analytical model of galaxy formation. Utilising the full ($800$ Mpc)$^3$ volume of the simulation,…

Astrophysics of Galaxies · Physics 2021-12-17 Filip Huško , Cedric G. Lacey , Carlton M. Baugh

We use N-body cosmological simulations and empirical galaxy models to study the merger history of dwarf-mass galaxies (with M_halo~10^10 M_Sun). Our input galaxy models describe the stellar mass-halo mass relation, and the galaxy occupation…

Astrophysics of Galaxies · Physics 2022-01-04 Alis J. Deason , Sownak Bose , Azadeh Fattahi , Nicola C. Amorisco , Wojciech Hellwing , Carlos S. Frenk

Mergers are an important aspect of galaxy formation and evolution. We aim to test whether deep learning techniques can be used to reproduce visual classification of observations, physical classification of simulations and highlight any…

Astrophysics of Galaxies · Physics 2019-06-12 W. J. Pearson , L. Wang , J. W. Trayford , C. E. Petrillo , F. F. S. van der Tak

In the theoretical framework of hierarchical structure formation, galaxy clusters evolve through continuous accretion and mergers of substructures. Cosmological simulations have revealed the best picture of the Universe as a 3-D filamentary…

Cosmology and Nongalactic Astrophysics · Physics 2024-01-18 Tejas Oak , Surajit Paul

An overview over the current status of modeling galaxies by means of numerical simulations is given. After a short description of how galaxies form in hierarchically clustering scenarios, success and failures of current simulations are…

Astrophysics · Physics 2007-05-23 Matthias Steinmetz

We present a new approach to study galaxy evolution in a cosmological context. We combine cosmological merger trees and semi-analytic models of galaxy formation to provide the initial conditions for multi-merger hydrodynamic simulations. In…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-11 Benjamin P. Moster , Andrea V. Macciò , Rachel S. Somerville

We investigate the impact of mergers on the mass estimation of galaxy clusters using $N$-body + hydrodynamical simulation data. We estimate virial mass from these data and compare it with real mass. When the smaller subcluster's mass is…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-18 Motokazu Takizawa , Ryo Nagino , Kyoko Matsushita

The science behind galaxy interaction and mergers has a fundamental role and gives us an insight into galaxy formation and its evolution. Fluctuating angular momentum is responsible for extraordinary events like polar rings, tidal tails,…

Astrophysics of Galaxies · Physics 2021-12-24 Adarsh Mahor , Janvita Reddy , Amitesh Singh , Shashwat Singh

We use galaxy-galaxy lensing to investigate how the dark matter (DM) haloes and stellar content of galaxies with $0.012 \leq z \leq 0.32$ and $10 \leq \log_{10}(M_\star/\mathrm{M}_\odot) \leq 12$ change as a result of the merger process. To…

The latest generation of cosmological simulations are on the verge of being able to resolve the structure of bulges for the first time. Hence, we review the current state of bulge formation in cosmological simulations, and discuss open…

Astrophysics of Galaxies · Physics 2015-12-09 Alyson M. Brooks , Charlotte R. Christensen

Theoretical models are vital for exploring the galaxy merger process, which plays a crucial role in the evolution of galaxies. Recent advances in modelling have placed tight constraints on the buildup of stellar material in galaxies across…

Astrophysics of Galaxies · Physics 2021-08-10 Joseph A. O'Leary , Benjamin P. Moster , Eva Krämer

We present the public data release of halo and galaxy catalogues extracted from the EAGLE suite of cosmological hydrodynamical simulations of galaxy formation. These simulations were performed with an enhanced version of the GADGET code…

Galaxy merger simulations have explored the behaviour of gas within the galactic disk, yet the dynamics of hot gas within the galaxy halo has been neglected. We report on the results of high-resolution hydrodynamic simulations of colliding…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-13 Manodeep Sinha , Kelly Holley-Bockelmann

Merging galaxies play a key role in galaxy evolution, and progress in our understanding of galaxy evolution is slowed by the difficulty of making accurate galaxy merger identifications. We use GADGET-3 hydrodynamical simulations of merging…

Astrophysics of Galaxies · Physics 2020-03-18 Nevin , R. , Blecha , L. , Comerford , J. , Greene , J

Galaxy groups and clusters are the main tools used to test cosmological models and to study the environmental effect of galaxy formation. This work provides a catalogue of galaxy groups and clusters, as well as potentially merging systems…

Cosmology and Nongalactic Astrophysics · Physics 2017-06-21 Elmo Tempel , Taavi Tuvikene , Rain Kipper , Noam I. Libeskind

The formation, inner properties, and spatial distribution of galaxy groups and clusters are closely related to the background cosmological model. We use numerical simulations of variants of the CDM model with different cosmological…

Astrophysics · Physics 2011-05-23 Alexander Knebe , Volker Mueller

Identifying galaxies in hydrodynamical simulations is a difficult task, particularly in regions of high density such as galaxy groups and clusters. We present a new scale-free shape-independent algorithm to robustly and accurately identify…