activity
19982026
most citedThe Cosmic Evolution Survey (COSMOS) -- Overview

2k citations · 17.5k across the 121 of their papers we have counts for

collaborators

119 papers

astro-ph.GA2026

The Role of the Cosmic Web in Galaxy Evolution Across 0.4<z<4

Sina Taamoli, Bahram Mobasher, Hossein Hatamnia +12

We investigate the dependence of stellar mass and star formation activity on the topology of hosting large-scale structures using mass-complete galaxy samples in four redshift bins…

astro-ph.IM2026

The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models

Sogol Sanjaripour, Michael J. Smith, Manuel Pérez-Carrasco +3

Tokenization is central to adapting scientific data for transformer-based foundation models, yet its impact on learned representations remains poorly understood. We compare four to…

astro-ph.HE2026

Discovery and Analysis of a Type II Supernova Candidate at z = 3.19 from JWST's COSMOS-Web Survey

Valeria Aparicio, David O. Jones, Willem B. Hoogendam +21

The launch of the James Webb Space Telescope (JWST) has enabled the discovery of a small but increasing sample of high-redshift core-collapse supernovae (CC SNe), which provide new…

astro-ph.GA2026

Euclid: A blue galaxy population and a brightest cluster galaxy in the making in a MaDCoWS2 galaxy cluster candidate

A. Trudeau, A. H. Gonzalez, S. A. Stanford +152

We present an example cluster follow-up study with Euclid. Our target, a candidate cluster nicknamed the 'Puddle', was initially discovered by the Massive and Distant…

astro-ph.GA2026

Optical Spectroscopy of Dwarf Galaxies at in the COSMOS Field: Star Formation and Dust Properties

Zahra Sattari, Daniel D. Kelson, Bahram Mobasher +4

We present a spectroscopic study of low-mass galaxies (LMGs;) at in COSMOS field, and compare it to a control sample of intermediate-ma…

astro-ph.GA2026

Learning to See Sharper: A Physics-Informed Artificial Intelligence Framework for Super-Resolving Galaxy Spectra

Aryana Haghjoo, Shoubaneh Hemmati, Bahram Mobasher +7

The information recoverable from galaxy spectra depends fundamentally on spectral resolution, yet assembling large samples at high resolution remains observationally expensive. We…