6 citations · 6 across the 7 of their papers we have counts for
11 papers
Simulation-Informed Dust Masses in Typical JWST Galaxies
Jed McKinney, Dhruv T. Zimmerman, Desika Narayanan +5
Direct detections of dust in typical galaxies remain untenable, despite the presence of dust suggested by rest-frame UV/optical spectro-photometry. Informed by cosmological z…
Simulations of Dust Content and Attenuation in Galaxies
Dhruv T. Zimmerman, Jed McKinney, Desika Narayanan +10
Correctly modeling the dust attenuation law in galaxies is essential to properly inferring their growth and physical properties. With the rapid discovery of galaxies by JWST…
Unveiling the Origins of the Molecular Gas Reservoirs in Recently Quenched Massive Galaxies
E. Savitch, D. Narayanan, D. J. Setton +13
Observations of quenched galaxies across cosmic time have revealed systems containing substantial molecular gas reservoirs, challenging the traditional picture of gas-poor, red and…
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-…
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…
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…
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''…
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-…
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…
Does the Fundamental Metallicity Relation Evolve with Redshift? II: The Evolution in Normalisation of the Mass-Metallicity Relation
Alex M. Garcia, Paul Torrey, Sara L. Ellison +10
The metal content of galaxies is a direct probe of the baryon cycle. A hallmark example is the relationship between a galaxy's stellar mass, star formation rate (SFR), and gas-phas…
Tracing the History of Obscured Star Formation with Cosmological Galaxy Evolution Simulations
Dhruv T. Zimmerman, Desika Narayanan, Katherine E. Whitaker +1
We explore the cosmic evolution of the fraction of dust obscured star formation predicted by the \textsc{simba} cosmological hydrodynamic simulations featuring an on-the-fly model…