340 citations · 1k across the 12 of their papers we have counts for
3 papers · 1 filter
Learning to Predict the Cosmological Structure Formation
Siyu He, Yin Li, Yu Feng +4
Matter evolved under influence of gravity from minuscule density fluctuations. Non-perturbative structure formed hierarchically over all scales, and developed non-Gaussian features…
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya, Deborah Bard, Peter Mendygral +14
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow:…
Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III
Yen-Chi Chen, Shirley Ho, Jonathan Blazek +4
Previous studies have shown the filamentary structures in the cosmic web influence the alignments of nearby galaxies. We study this effect in the LOWZ sample of the Sloan Digital S…