89 citations · 184 across the 13 of their papers we have counts for
15 papers
TNG SAM: Bridging Hydrodynamical Complexity and Semi-Analytic Efficiency to Model Galaxy Formation
Osase Omoruyi, Bryan A. Terrazas, Yossi Oren +5
All cosmological models of galaxy formation must navigate the trade-off between physical accuracy and computational efficiency. Hydrodynamical simulations provide spatially resolve…
Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation
Viraj Pandya, Greg L. Bryan, T. Lucas Makinen +18
Semi-analytic models (SAMs) have been treating galaxy populations as dynamical systems for years, but their evolution equations remain poorly constrained. We introduce…
How does feedback affect the star formation histories of galaxies?
Kartheik G. Iyer, Tjitske K. Starkenburg, Greg L. Bryan +20
Star formation in galaxies is regulated by the interplay of a range of processes that shape the multiphase gas in the interstellar and circumgalactic media. Using the CAMELS suite…
Tracking the assembly of supermassive black holes: a comparison of diverse models across cosmic time
Antonio J. Porras-Valverde, Angelo Ricarte, Priyamvada Natarajan +3
Galaxies grow alongside their central supermassive black holes (SMBHs), linked through fueling and feedback. However, the origins and details of this co-evolution remain unclear an…
Learning the Universe: physically-motivated priors for dust attenuation curves
Laura Sommovigo, Rachel K. Cochrane, Rachel S. Somerville +9
Understanding the impact of dust on the spectral energy distributions (SEDs) of galaxies is crucial for inferring their physical properties and for studying the nature of interstel…
The mass-dependent UVJ diagram at cosmic noon: A challenge for galaxy evolution models and dust radiative transfer
Andrea Gebek, Benedikt Diemer, Marco Martorano +9
Context. The UVJ color-color diagram is a widely used diagnostic to separate star-forming and quiescent galaxies. Observational data from photometric surveys reveal a strong stella…
The relationship between galaxy size and halo properties: Insights from the IllustrisTNG simulations and differential clustering
Rachel S. Somerville, Austen Gabrielpillai, Boryana Hadzhiyska +1
The physical origin of the radial sizes of galaxies and how galaxy sizes are correlated with the properties of their host dark matter halos is an open question in galaxy formation.…
ESpRESSO -- Forward modeling Roman Space Telescope spectroscopy
Austen Gabrielpillai, Isak G. B. Wold, Sangeeta Malhotra +4
We describe the software package - [E]xtragalactic [Sp]ectroscopic [R]oman [E]mulator and [S]imulator of [S]ynthetic [O]bjects, created to emulate the slitless…
Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours
Christopher C. Lovell, Tjitske Starkenburg, Matthew Ho +9
We perform the first direct cosmological and astrophysical parameter inference from the combination of galaxy luminosity functions and colours using a simulation based inference ap…
Ly at Cosmic Dawn with a Simulated Roman Grism Deep Field
Isak G. B. Wold, Sangeeta Malhotra, James E. Rhoads +2
The slitless grism on the Nancy Grace Roman Space Telescope will enable deep near-infrared spectroscopy over a wide field of view. We demonstrate Roman's capability to detect Ly…
: Learning Galaxy Properties from Merger Trees
Christian Kragh Jespersen, Miles Cranmer, Peter Melchior +3
Efficiently mapping baryonic properties onto dark matter is a major challenge in astrophysics. Although semi-analytic models (SAMs) and hydrodynamical simulations have made impress…
Finding Peas in the Early Universe with JWST
James E. Rhoads, Isak G. B. Wold, Santosh Harish +6
The Early Release Observations (EROs) of JWST beautifully demonstrate the promise of JWST in characterizing the universe at cosmic dawn. We analyze the ERO spectra of three $z \sim…
Constraining cosmology with machine learning and galaxy clustering: the CAMELS-SAM suite
Lucia A. Perez, Shy Genel, Francisco Villaescusa-Navarro +5
As the next generation of large galaxy surveys come online, it is becoming increasingly important to develop and understand the machine learning tools that analyze big astronomical…
Galaxy Formation in the Santa Cruz semi-analytic model compared with IllustrisTNG -- I. Galaxy scaling relations, dispersions, and residuals at z=0
Austen Gabrielpillai, Rachel S. Somerville, Shy Genel +4
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 IllustrisT…
Galaxy assembly bias and large-scale distribution: a comparison between IllustrisTNG and a semi-analytic model
Boryana Hadzhiyska, Sonya Liu, Rachel S. Somerville +4
In this work, we compare large scale structure observables for stellar mass selected samples at , as predicted by two galaxy models, the hydrodynamical simulation IllustrisTNG…