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most citedEstimating photometric redshifts with artificial neural networks

202 citations · 848 across the 49 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

astro-ph.GA2024

CEERS: Forging the First Dust -- Transition from Stellar to ISM Grain Growth in the Early Universe

Denis Burgarella, Véronique Buat, Patrice Theulé +36

We investigate the coevolution of metals and dust for 173 galaxies at 4.0<z<11.4 observed with JWST/NIRSpec. We use the code CIGALE that integrates photometric and spectroscopic da…

astro-ph.GA2024★ 41 cited

ASTRODEEP-JWST: NIRCam-HST multiband photometry and redshifts for half a million sources in six extragalactic deep fields

E. Merlin, P. Santini, D. Paris +52

We present a set of photometric catalogs primarily aimed at providing the community with a comprehensive database for the study of galaxy populations in the high redshift Universe.…

astro-ph.IM2024★ 2 cited

Superfluid-tight cryogenic receiver with continuous sub-Kelvin cooling for EXCLAIM

Sumit Dahal, Peter A. R. Ade, Christopher J. Anderson +67

The EXperiment for Cryogenic Large-Aperture Intensity Mapping (EXCLAIM) is a balloon-borne telescope designed to survey star formation over cosmological time scales using intensity…

astro-ph.GA2024★ 10 cited

Broad-Line AGN at 3.5<z<6: The Black Hole Mass Function and a Connection with Little Red Dots

Anthony J. Taylor, Steven L. Finkelstein, Dale D. Kocevski +48

We present a sample of 50 H-alpha detected broad-line active galactic nuclei (BLAGN) at redshifts 3.5<z<6.8 using data from the CEERS and RUBIES surveys. We select these sources di…

astro-ph.GA2024★ 9 cited

The BoRG- Survey: Abundance and Mass-to-light Ratio of Luminous Galaxies from Independent Sight Lines with NIRSpec

Sofía Rojas-Ruiz, Micaela B. Bagley, Guido Roberts-Borsani +12

We present new results on the rest-frame UV luminosity function (UVLF) and stellar mass-to-light (M/L) ratio of bright (M mag) spectroscopically-confirmed gal…

astro-ph.GA2024

CEERS Key Paper. IX. Identifying Galaxy Mergers in CEERS NIRCam Images Using Random Forests and Convolutional Neural Networks

Caitlin Rose, Jeyhan S. Kartaltepe, Gregory F. Snyder +32

A crucial yet challenging task in galaxy evolution studies is the identification of distant merging galaxies, a task which suffers from a variety of issues ranging from telescope s…