246 citations · 275 across the 2 of their papers we have counts for
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How Well Can We Measure Galaxy Dust Attenuation Curves? The Impact of the Assumed Star-Dust Geometry Model in SED Fitting
Sidney Lower, Desika Narayanan, Joel Leja +3
One of the most common methods for inferring galaxy attenuation curves is via spectral energy distribution (SED) modeling, where the dust attenuation properties are modeled simulta…
{\sc mirkwood:} Fast and Accurate SED Modeling Using Machine Learning
Sankalp Gilda, Sidney Lower, Desika Narayanan
Traditional spectral energy distribution (SED) fitting codes used to derive galaxy physical properties are often uncertain at the factor of a few level owing to uncertainties in ga…
Powderday: Dust Radiative Transfer for Galaxy Simulations
Desika Narayanan, Matthew J. Turk, Thomas Robitaille +18
We present Powderday, a flexible, fast, open-source dust radiative transfer package designed to interface with galaxy formation simulations. Powderday builds on FSPS population syn…
How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting
Sidney Lower, Desika Narayanan, Joel Leja +3
The primary method for inferring the stellar mass () of a galaxy is through spectral energy distribution (SED) modeling. However, the technique rests on assumptions such as th…
Galaxy growth in a massive halo in the first billion years of cosmic history
D. P. Marrone, J. S. Spilker, C. C. Hayward +34
According to the current understanding of cosmic structure formation, the precursors of the most massive structures in the Universe began to form shortly after the Big Bang, in reg…