2.3k citations · 17.7k across the 95 of their papers we have counts for
96 papers
Optimized Photometric Redshifts for the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey (CANDELS)
Dritan Kodra, Brett H. Andrews, Jeffrey A. Newman +27
We present the first comprehensive release of photometric redshifts (photo-z's) from the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey (CANDELS) team. We use stati…
Dusty Starbursts Masquerading as Ultra-high Redshift Galaxies in JWST CEERS Observations
Jorge A. Zavala, Veronique Buat, Caitlin M. Casey +121
Lyman Break Galaxy (LBG) candidates at z>10 are rapidly being identified in JWST/NIRCam observations. Due to the (redshifted) break produced by neutral hydrogen absorption of rest-…
A Long Time Ago in a Galaxy Far, Far Away: A Candidate z ~ 12 Galaxy in Early JWST CEERS Imaging
Steven L. Finkelstein, Micaela B. Bagley, Pablo Arrabal Haro +117
We report the discovery of a candidate galaxy with a photo-z of z~12 in the first epoch of the JWST Cosmic Evolution Early Release Science (CEERS) Survey. Following conservative se…
Investigating the Effect of Galaxy Interactions on AGN Enhancement at
Ekta A. Shah, Jeyhan S. Kartaltepe, Christina T. Magagnoli +30
Galaxy interactions and mergers are thought to play an important role in the evolution of galaxies. Studies in the nearby universe show a higher AGN fraction in interacting and mer…
CANDELS Meets GSWLC: Evolution of the Relationship Between Morphology and Star Formation Since z = 2
Chandler Osborne, Samir Salim, Ivana Damjanov +7
Galaxy morphology and its evolution over the cosmic epoch hold important clues for understanding the regulation of star formation (SF). However, studying the relationship between m…
Studying the Physical Properties of Tidal Features I. Extracting Morphological Substructure in CANDELS Observations and VELA Simulations
Kameswara Bharadwaj Mantha, Daniel H. McIntosh, Cody P. Ciaschi +17
The role of major mergers in galaxy evolution remains a key open question. Existing empirical merger identification methods use non-parametric and subjective visual classifications…