M
Matthew W. Abruzzo
Researcher at Columbia University
Publications - 5
Citations - 87
Matthew W. Abruzzo is an academic researcher from Columbia University. The author has contributed to research in topics: Radiative transfer & Galaxy. The author has an hindex of 4, co-authored 5 publications receiving 44 citations.
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Journal ArticleDOI
Powderday: Dust Radiative Transfer for Galaxy Simulations.
Desika Narayanan,Desika Narayanan,Matthew J. Turk,Thomas P. Robitaille,Ashley J. Kelly,B. Connor McClellan,Ray S. Sharma,Prerak Garg,Matthew W. Abruzzo,Ena Choi,Charlie Conroy,Benjamin D. Johnson,Benjamin Kimock,Qi Li,Christopher C. Lovell,Sidney Lower,George C. Privon,George C. Privon,Jonathan Roberts,Snigdaa Sethuram,Snigdaa Sethuram,Gregory F. Snyder,Robert Thompson,John H. Wise +23 more
TL;DR: Powderday as discussed by the authors is a flexible, fast, open-source dust radiative transfer package designed to interface with galaxy formation simulations, which is based on FSPS population synthesis models.
Journal ArticleDOI
POWDERDAY: Dust Radiative Transfer for Galaxy Simulations
Desika Narayanan,Desika Narayanan,Matthew J. Turk,Thomas P. Robitaille,Ashley J. Kelly,B. Connor McClellan,Ray S. Sharma,Prerak Garg,Matthew W. Abruzzo,Ena Choi,Charlie Conroy,Benjamin D. Johnson,Benjamin Kimock,Qi Li,Christopher C. Lovell,Sidney Lower,George C. Privon,George C. Privon,Jonathan Roberts,Snigdaa Sethuram,Snigdaa Sethuram,Gregory F. Snyder,Robert Thompson,John H. Wise +23 more
TL;DR: Powderday as mentioned in this paper is an open-source package designed to interface with galaxy formation simulations, based on FSPS population synthesis models, Hyperion dust radiative transfer, and employs yt to interface between different software packages.
Posted Content
A simple model for mixing and cooling in cloud-wind interactions.
TL;DR: In this paper, a simple entropy-based formalism is introduced to characterize the role of mixing in pressure-balanced multiphase clouds, and demonstrate example applications using Enzo-E (magneto)hydrodynamic simulations.
Posted Content
Identifying Mergers Using Quantitative Morphologies in Zoom Simulations of High-Redshift Galaxies
TL;DR: In this paper, the authors employ cosmological zoom simulations using Gizmo with the Mufasa feedback scheme, post-processed using 3D dust radiative transfer into mock observations, to study whether common morphological measures Gini G, M20, concentration C, and asymmetry A are effective at identifying major galaxy mergers at z ~ 2 - 4, i.e., "Cosmic Noon".
Journal ArticleDOI
The impact of photometric redshift errors on lensing statistics in ray-tracing simulations
Matthew W. Abruzzo,Zoltan Haiman +1 more
TL;DR: In this paper, a simple treatment of photo-z errors was proposed to assess cosmological parameter biases from uncertainties in n(z) in an LSST-like survey.