1.2k citations · 22.6k across the 197 of their papers we have counts for
104 papers · 1 filter
COSMOS-Web: Intrinsically Luminous z10 Galaxy Candidates Test Early Stellar Mass Assembly
Caitlin M. Casey, Hollis B. Akins, Marko Shuntov +39
We report the discovery of 15 exceptionally luminous candidate galaxies discovered in the first 0.28 deg of JWST/NIRCam imaging from the COSMOS-Web Sur…
GOALS-JWST: Gas Dynamics and Excitation in NGC7469 revealed by NIRSpec
Marina Bianchin, Vivian U, Yiqing Song +36
We present new JWST-NIRSpec IFS data for the luminous infrared galaxy NGC7469: a nearby (70.6Mpc) active galaxy with a Sy 1.5 nucleus that drives a highly ionized gas outflow and a…
Introducing the Texas Euclid Survey for Lyman Alpha (TESLA) Survey: Initial Study Correlating Galaxy Properties to Lyman-Alpha Emission
Oscar A. Chavez Ortiz, Steven L. Finkelstein, Dustin Davis +24
We present the Texas Euclid Survey for Lyman-Alpha (TESLA), a spectroscopic survey in the 10 square degree of the Euclid North Ecliptic Pole (NEP) field. Using TESLA, we study how…
Using Machine Learning to Determine Morphologies of AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey
Chuan Tian, C. Megan Urry, Aritra Ghosh +9
We present a machine-learning framework to accurately characterize morphologies of Active Galactic Nucleus (AGN) host galaxies within . We first use PSFGAN to decouple host ga…
COSMOS2020: The Galaxy Stellar Mass Function: the assembly and star formation cessation of galaxies at
J. R. Weaver, I. Davidzon, S. Toft +30
How galaxies form, assemble, and cease their star-formation is a central question within the modern landscape of galaxy evolution studies. These processes are indelibly imprinted o…
Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey
Aritra Ghosh, C. Megan Urry, Aayush Mishra +10
We use the Galaxy Morphology Posterior Estimation Network (GaMPEN) to estimate morphological parameters and associated uncertainties for million galaxies in the Hyper Supr…