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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…
COSMOS-Web: An Overview of the JWST Cosmic Origins Survey
Caitlin M. Casey, Jeyhan S. Kartaltepe, Nicole E. Drakos +82
We present the survey design, implementation, and outlook for COSMOS-Web, a 255 hour treasury program conducted by the James Webb Space Telescope in its first cycle of observations…
COSMOS2020: Identification of High-z Protocluster Candidates in COSMOS
Malte Brinch, Thomas R. Greve, John R. Weaver +20
We conduct a systematic search for protocluster candidates at in the COSMOS field using the recently released COSMOS2020 source catalog. We select galaxies using a numbe…
Probing the Structure and Evolution of BASS AGN through Eddington Ratios
Tonima Tasnim Ananna, C. Megan Urry, Claudio Ricci +23
We constrain the intrinsic Eddington ratio (\lamEdd ) distribution function for local AGN in bins of low and high obscuration (log NH <= 22 and 22 < log NH < 25), using the Swift-B…