17 papers
Learning the Universe with cosmological rescaling of merger trees and semi-analytic galaxy formation models
Richard Stiskalek, Lucia A. Perez, Shy Genel +3
Learning cosmology from galaxy surveys requires large suites of simulations spanning the cosmological and astrophysical parameter space, yet hydrodynamical simulations of galaxy fo…
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…
Learning the Universe: The Structure of Dust Attenuation Curves in Galaxy Simulations
Laura Sommovigo, Deaglan J. Bartlett, Rachel K. Cochrane +3
Dust attenuation is a major source of systematic uncertainty in both SED fitting and forward modeling of galaxy populations, yet the functional form used to parameterize attenuatio…
Learning the Universe with PRFM-vol: Introducing a new subgrid model for star formation in cosmological simulations
Jan D. Burger, Volker Springel, Eve C. Ostriker +7
We introduce PRFM-vol, a new subgrid model for star formation in cosmological simulations that aims to increase the physical realism of cosmological simulations by leveraging resul…
Stardust Galaxies at z>9: A Dust-Origin Transition Behind the Excess of UV-Bright Galaxies
D. Burgarella, V. Buat, A. K. Inoue +9
Recent JWST observations suggest that galaxies at z > 9 may be dominated by low-opacity SNe-produced dust before efficient ISM grain growth is established. This transition in dust…
Massive Galaxies Form Early and Gray: Stellar Assembly and Dust Attenuation at from CAPERS
Katherine Chworowsky, Steven L. Finkelstein, Anthony J. Taylor +27
The stellar mass assembly of massive galaxies in the first few billion years of cosmic history remains a central challenge in galaxy formation. Galaxies with $M_\star \gtrsim 10^{1…