no code implementations • 12 Dec 2023 • Nayantara Mudur, Carolina Cuesta-Lazaro, Douglas P. Finkbeiner
Cosmological simulations play a crucial role in elucidating the effect of physical parameters on the statistics of fields and on constraining parameters given information on density fields.
1 code implementation • 17 Sep 2023 • Mayeul Aubin, Carolina Cuesta-Lazaro, Ethan Tregidga, Javier Viaña, Cecilia Garraffo, Iouli E. Gordon, Mercedes López-Morales, Robert J. Hargreaves, Vladimir Yu. Makhnev, Jeremy J. Drake, Douglas P. Finkbeiner, Phillip Cargile
These advancements pave the way for more effective and timely analysis of exoplanet atmospheric properties, advancing our understanding of these distant worlds.
1 code implementation • 22 Nov 2022 • Nayantara Mudur, Douglas P. Finkbeiner
In this work we investigate the ability of these models to generate fields in two astrophysical contexts: dark matter mass density fields from cosmological simulations and images of interstellar dust.
1 code implementation • 22 Apr 2021 • Andrew K. Saydjari, Douglas P. Finkbeiner
Wavelet scattering networks, which are convolutional neural networks (CNNs) with fixed filters and weights, are promising tools for image analysis.
3 code implementations • 22 Sep 2015 • Jo Bovy, Hans-Walter Rix, Gregory M. Green, Edward F. Schlafly, Douglas P. Finkbeiner
This formalism demonstrates that the spatially-complex effect of extinction on the selection function of a pencil-beam or contiguous sky survey is equivalent to a low-pass filtering of the extinction-affected selection function with the smooth density field.
Astrophysics of Galaxies