activity
20012023
most citedCANDELS: The Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey

2.2k citations · 3.3k across the 16 of their papers we have counts for

collaborators

16 papers

astro-ph.GA2023★ 98 cited

CEERS Key Paper VI: JWST/MIRI Uncovers a Large Population of Obscured AGN at High Redshifts

G. Yang, K. I. Caputi, C. Papovich +35

Mid-infrared observations are powerful in identifying heavily obscured Active Galactic Nuclei (AGN) which have weak emission in other wavelengths. Data from the Mid-Infrared Instru…

astro-ph.IM2022★ 46 cited

Line Emission Mapper (LEM): Probing the physics of cosmic ecosystems

Ralph Kraft, Maxim Markevitch, Caroline Kilbourne +107

The Line Emission Mapper (LEM) is an X-ray Probe for the 2030s that will answer the outstanding questions of the Universe's structure formation. It will also provide transformative…

astro-ph.GA2022★ 524 cited

CEERS Key Paper I: An Early Look into the First 500 Myr of Galaxy Formation with JWST

Steven L. Finkelstein, Micaela B. Bagley, Henry C. Ferguson +64

We present an investigation into the first 500 Myr of galaxy evolution from the Cosmic Evolution Early Release Science (CEERS) survey. CEERS, one of 13 JWST ERS programs, targets g…

astro-ph.CO2022★ 69 cited

Co-evolution of massive black holes and their host galaxies at high redshift: discrepancies from six cosmological simulations and the key role of JWST

Melanie Habouzit, Masafusa Onoue, Eduardo Banados +7

The James Webb Space Telescope will have the power to characterize high-redshift quasars at z>6 with an unprecedented depth and spatial resolution. While the brightest quasars at s…

astro-ph.CO2021★ 17 cited

Revisiting the [C II] line-intensity mapping power spectrum from the EoR using non-uniform line-luminosity scatter

Chandra Shekhar Murmu, Karen P. Olsen, Thomas R. Greve +9

Detecting the line-intensity mapping (LIM) signal from the galaxies of the Epoch of Reionization is an emerging tool to constrain their role in reionization. Ongoing and upcoming e…

astro-ph.CO2021

Robust marginalization of baryonic effects for cosmological inference at the field level

Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +11

We train neural networks to perform likelihood-free inference from 2D maps containing the total mass surface density from thousands of hydrodynamic simula…