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Related papers: Comparing galaxy formation in the L-GALAXIES semi-…

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The tight relationship between the stellar mass and halo mass of galaxies is one of the most fundamental scaling relations in galaxy formation and evolution. It has become a critical constraint for galaxy formation models. Over the past…

Astrophysics of Galaxies · Physics 2025-02-20 Kai Wang , Yingjie Peng

We present a variation of the recently updated Munich semi-analytical galaxy formation model, L-Galaxies, with a new gas stripping method. Extending earlier work, we directly measure the local environmental properties of galaxies to…

Astrophysics of Galaxies · Physics 2021-05-12 Mohammadreza Ayromlou , Guinevere Kauffmann , Robert M. Yates , Dylan Nelson , Simon D. M. White

In this work, we compare large scale structure observables for stellar mass selected samples at $z=0$, as predicted by two galaxy models, the hydrodynamical simulation IllustrisTNG and the Santa-Cruz semi-analytic model (SC-SAM). Although…

Cosmology and Nongalactic Astrophysics · Physics 2021-09-22 Boryana Hadzhiyska , Sonya Liu , Rachel S. Somerville , Austen Gabrielpillai , Sownak Bose , Daniel Eisenstein , Lars Hernquist

We compare global predictions from the EAGLE hydrodynamical simulation, and two semi-analytic (SA) models of galaxy formation, L-GALAXIES and GALFORM. All three models include the key physical processes for the formation and evolution of…

We present the first results from applying the Santa Cruz semi-analytic model (SAM) for galaxy formation on merger trees extracted from a dark matter only version of the IllustrisTNG (TNG) simulations. We carry out a statistical comparison…

We have recently developed a post-processing framework to estimate the abundance of atomic and molecular hydrogen (HI and H2, respectively) in galaxies in large-volume cosmological simulations. Here we compare the HI and H2 content of…

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…

Astrophysics of Galaxies · Physics 2019-03-15 Lan Wang , Dandan Xu , Liang Gao , Qi Guo , Yan Qu , Jun Pan

Galaxy mergers are traditionally one of the favoured mechanisms for quenching star formation. To test this paradigm in the context of modern cosmological simulations, we use the IllustrisTNG simulation to investigate the impact of…

Astrophysics of Galaxies · Physics 2021-04-21 Salvatore Quai , Maan H. Hani , Sara L. Ellison , David R. Patton , Joanna Woo

We select galaxies from the IllustrisTNG hydrodynamical simulations ($M_*>10^9~\rm M_\odot$ at $0\le z\le2$) and characterize the shapes and evolutions of their UVJ and star-formation rate -- stellar mass (SFR-$M_*$) diagrams. We quantify…

Using the TNG100 (100 Mpc)^3 simulation of the IllustrisTNG project, we demonstrate a strong connection between the onset of star formation quenching and the stellar size of galaxies. We do so by tracking the evolutionary history of…

Astrophysics of Galaxies · Physics 2021-02-10 Anshu Gupta , Kim-Vy Tran , Annalisa Pillepich , Tiantian Yuan , Anishya Harshan , Vicente Rodriguez-Gomez , Shy Genel

We compare predictions for galaxy-galaxy lensing profiles and clustering from the Henriques et al. (2015) public version of the Munich semi-analytical model of galaxy formation (SAM) and the IllustrisTNG suite, primarily TNG300, with…

Cosmology and Nongalactic Astrophysics · Physics 2020-12-03 Malin Renneby , Bruno M. B. Henriques , Stefan Hilbert , Dylan Nelson , Mark Vogelsberger , Raúl E. Angulo , Volker Springel , Lars Hernquist

We present a comprehensive study of the star formation histories of massive-quenched galaxies at $z=3$ in 3 semi-analytic models (SHARK, GAEA, GALFORM) and 3 cosmological hydrodynamical simulations (EAGLE, IllustrisTNG, Simba). We study the…

Galaxies play a key role in our endeavor to understand how structure formation proceeds in the Universe. For any precision study of cosmology or galaxy formation, there is a strong demand for huge sets of realistic mock galaxy catalogs,…

Astrophysics of Galaxies · Physics 2023-11-16 Chen-Yu Chuang , Christian Kragh Jespersen , Yen-Ting Lin , Shirley Ho , Shy Genel

We study the connection between active galactic nuclei (AGN) and their host galaxies through cosmic time in the large-scale cosmological IllustrisTNG simulations. We first compare BH properties, i.e. the hard X-ray BH luminosity function,…

We carry out a comparison study on the bar structure in the Illustris-1 and TNG100 simulations. At $z=0$, 8.9\% of 1232 disc galaxies with stellar mass $>10^{10.5}M_{\odot}$ in Illustris-1 are barred, while the numbers are 55\% of 1269 in…

Astrophysics of Galaxies · Physics 2020-10-05 Ze-Bang Zhou , Weishan Zhu , Yang Wang , Long-Long Feng

We have carried out a controlled comparison of the structural and kinematic properties of the circumgalactic medium (CGM) around Milky Way mass galaxies in the Illustris and IllustrisTNG simulations. Very striking differences are found. At…

Understanding the physical processes that drive star formation is a key challenge for galaxy formation models. In this article we study the tight correlation between the star formation rate (SFR) and stellar mass of galaxies at a given…

We present a detailed comparison between numerical cosmological hydrodynamic zoom simulations and semi-analytic models (SAMs) run within merger trees extracted from the simulations. The high-resolution simulations represent 48 individual…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 M. Hirschmann , T. Naab , R. Somerville , A. Burkert , L. Oser

We compare three major large-scale hydrodynamical galaxy simulations (EAGLE, Illustris-TNG, and SIMBA) by forward modeling simulated galaxies into observational space and computing the fraction of isolated and quiescent low mass galaxies as…

We investigate a series of galaxy properties computed using the merger trees and environmental histories from dark matter only cosmological simulations, using a semi-recurrent neural network producing self-consistent predictions of galaxy…

Cosmology and Nongalactic Astrophysics · Physics 2025-07-08 Harry George Chittenden , Jayashree Behera , Rita Tojeiro
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