activity
20242026
collaborators

7 papers

astro-ph.GA2026

The Lifecycle and Emission Properties of PAHs in Cosmological Hydrodynamic Galaxy Formation Simulations

Desika Narayanan, Paul Torrey, Massimiliano Parente +16

We present the first cosmological model for the lifecycle and luminous properties of PAHs in galaxies as they evolve from z=6-->0. We model 40 zoom-in galaxies, coupled with an on-…

astro-ph.GA2026

Reimagining SED Fitting with Cosmological Galaxy Simulations and Machine Learning

Dhruv T. Zimmerman, Desika Narayanan

SED fitting is the most common technique to recover galaxy physical properties from observed photometry. However, SED fitting requires many assumptions that essentially collapse a…

astro-ph.GA2026

Dust in the Average Galaxy: Attenuation, Emission, and Opacity from

Caitlin M. Casey, Hollis B. Akins, Andrew J. Battisti +43

We present constraints on the dust emission and attenuation properties of galaxies across 0<z<7 using JWST imaging from the COSMOS-Web Survey combined with deep FIR/(sub)millimeter…

astro-ph.GA2026

Metallicity Gradients in Modern Cosmological Simulations II: The Role of Bursty Versus Smooth Feedback at High-Redshift

Alex M. Garcia, Paul Torrey, Aniket Bhagwat +22

The distribution of gas-phase metals within galaxies encodes the impact of stellar feedback on galactic evolution. At high-redshift, when galaxies are rapidly assembling, feedback-…

astro-ph.GA2026

The Growth of Dust in Galaxies in the First Billion Years with Applications to Blue Monsters

Desika Narayanan, Paul Torrey, Daniel Stark +9

A combination of JWST observations at z~12-14 and ALMA observations of extremely dust-rich systems at z~6 has demonstrated that dust grows extremely fast in the early Universe, wit…

astro-ph.GA2025

Linking Warm Dark Matter to Merger Tree Histories via Deep Learning Networks

Ilem Leisher, Paul Torrey, Alex M. Garcia +11

Dark matter (DM) halos form hierarchically in the Universe through a series of merger events. Cosmological simulations can represent this series of mergers as a graph-like ``tree''…