9 citations · 15 across the 7 of their papers we have counts for
3 papers · 1 filter
Flexible Simulation Based Inference for Galaxy Photometric Fitting with Synthesizer
Thomas Harvey, Christopher C. Lovell, Sophie Newman +13
We introduce Synference, a new, flexible Python framework for galaxy SED fitting using simulation-based inference (SBI). Synference leverages the Synthesizer package for flexible f…
Learning the Universe: physically-motivated priors for dust attenuation curves
Laura Sommovigo, Rachel K. Cochrane, Rachel S. Somerville +9
Understanding the impact of dust on the spectral energy distributions (SEDs) of galaxies is crucial for inferring their physical properties and for studying the nature of interstel…
Cosmology with One Galaxy: Auto-Encoding the Galaxy Properties Manifold
Amanda Lue, Shy Genel, Marc Huertas-Company +2
Cosmological simulations like CAMELS and IllustrisTNG characterize hundreds of thousands of galaxies using various internal properties. Previous studies have demonstrated that mach…