1.3k citations · 2.8k across the 23 of their papers we have counts for
5 papers · 1 filter
Estimating Galactic Distances From Images Using Self-supervised Representation Learning
Md Abul Hayat, Peter Harrington, George Stein +2
We use a contrastive self-supervised learning framework to estimate distances to galaxies from their photometric images. We incorporate data augmentations from computer vision as w…
Self-Supervised Representation Learning for Astronomical Images
Md Abul Hayat, George Stein, Peter Harrington +2
Sky surveys are the largest data generators in astronomy, making automated tools for extracting meaningful scientific information an absolute necessity. We show that, without the n…
DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
Yao-Yuan Mao, Eve Kovacs, Katrin Heitmann +24
The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys. The catalogs have diverse applications, such as investigating signatures of fun…
The DESI Experiment Part I: Science,Targeting, and Survey Design
DESI Collaboration, Amir Aghamousa, Jessica Aguilar +290
DESI (Dark Energy Spectroscopic Instrument) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations (BAO) and the growth of structure through…
Nyx: A Massively Parallel AMR Code for Computational Cosmology
Ann Almgren, John Bell, Mike Lijewski +2
We present a new N-body and gas dynamics code, called Nyx, for large-scale cosmological simulations. Nyx follows the temporal evolution of a system of discrete dark matter particle…