119 citations · 440 across the 33 of their papers we have counts for
7 papers · 1 filter
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…
Quantifying Roman WFI Dark Images with the Wavelet Scattering Transform
Phani Datta Velicheti, John F. Wu, Andreea Petric
The Nancy Grace Roman Space Telescope will survey a large area of the sky at near-infrared wavelengths with its Wide Field Instrument (WFI). The performance of the 18 WFI H4RG-10 d…
Learning the galaxy-environment connection with graph neural networks
John F. Wu, Christian Kragh Jespersen
Galaxies co-evolve with their host dark matter halos. Models of the galaxy-halo connection, calibrated using cosmological hydrodynamic simulations, can be used to populate dark mat…
NANCY: Next-generation All-sky Near-infrared Community surveY
Jiwon Jesse Han, Arjun Dey, Adrian M. Price-Whelan +206
The Nancy Grace Roman Space Telescope is capable of delivering an unprecedented all-sky, high-spatial resolution, multi-epoch infrared map to the astronomical community. This oppor…
JWST constraints on the UV luminosity density at cosmic dawn: implications for 21-cm cosmology
Sultan Hassan, Christopher C. Lovell, Piero Madau +10
An unprecedented array of new observational capabilities are starting to yield key constraints on models of the epoch of first light in the Universe. In this Letter we discuss the…
A variable active galactic nucleus at triply-imaged by the galaxy cluster MACS J0035.4-2015
Lukas J. Furtak, Ramesh Mainali, Adi Zitrin +32
We report the discovery of a triply imaged active galactic nucleus (AGN), lensed by the galaxy cluster MACS J0035.4-2015 (). The object is detected in Hubble…
Identification of galaxy shreds in large photometric catalogs using Convolutional Neural Networks
Enrico M. Di Teodoro, Josh E. G. Peek, John F. Wu
Contamination from galaxy fragments, identified as sources, is a major issue in large photometric galaxy catalogs. In this paper, we prove that this problem can be easily addressed…