Improved impedance inversion by deep learning and iterated graph Laplacian

no code implementations • 25 Apr 2024 • Davide Bianchi, Florian Bossmann, Wenlong Wang, Mingming Liu

We present a hybrid method that combines deep learning with iterated graph Laplacian and show its application in acoustic impedance inversion which is a routine procedure in seismic explorations.

Hybrid-basis inference for large-scale galaxy clustering: combining spherical and Cartesian Fourier analyses

1 code implementation • 29 Jul 2020 • Mike Shengbo Wang, Santiago Avila, Davide Bianchi, Robert Crittenden, Will J. Percival

Future precision cosmology from large-scale structure experiments including the Dark Energy Spectroscopic Instrument (DESI) and Euclid will probe wider and deeper cosmic volumes than those covered by previous surveys.

Cosmology and Nongalactic Astrophysics

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: exploring the Halo Occupation Distribution model of Emission Line Galaxies

no code implementations • 17 Jul 2020 • Santiago Avila, Violeta Gonzalez-Perez, Faizan G. Mohammad, Arnaud de Mattia, Cheng Zhao, Anand Raichoor, Amelie Tamone, Shadab Alam, Julian Bautista, Davide Bianchi, Etienne Burtin, Michael J. Chapman, Chia-Hsun Chuang, Johan Comparat, Kyle Dawson, Thomas Divers, Helion du Mas des Bourboux, Hector Gil-Marin, Eva-Maria Mueller, Salman Habib, Katrin Heitmann, Vanina Ruhlmann-Kleider, Nelson Padilla, Will J. Percival, Ashley J. Ross, Hee-Jong Seo, Donald P. Schneider, Gong-Bo Zhao

We study how these choices impact the clustering statistics while keeping the number density and bias fixed to that from eBOSS ELGs.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies