506 citations · 2.9k across the 47 of their papers we have counts for
46 papers
ALESS-JWST: Joint (sub-)kiloparsec JWST and ALMA imaging of submillimeter galaxies reveals heavily obscured bulge formation events
Jacqueline A. Hodge, Elisabete da Cunha, Sarah Kendrew +25
We present JWST NIRCam imaging targeting 13 infrared-luminous () galaxies from the ALESS survey with uniquely deep, high-resolution…
Radio spectral properties of star-forming galaxies between 150-5000MHz in the ELAIS-N1 field
Fangxia An, M. Vaccari, P. N. Best +9
By combining high-sensitivity LOFAR 150MHz, uGMRT 400MHz and 1,250MHz, GMRT 610MHz, and VLA 5GHz data in the ELAIS-N1 field, we study the radio spectral properties of radio-detecte…
Exploring the Intrinsic Scatter of the Star-Forming Galaxy Main Sequence at redshift 0.5 to 3.0
Rongjun Huang, Andrew J. Battisti, Kathryn Grasha +4
Previous studies have shown that the normalization and scatter of the galaxy 'main sequence' (MS), the relation between star formation rate (SFR) and stellar mass (), evolves…
Morphology & Environment's Role on the Star Formation Rate -- Stellar Mass Relation in COSMOS from 0 < z < 3.5
Kevin C. Cooke, Jeyhan S. Kartaltepe, Caitlin Rose +6
We investigate the relationship between environment, morphology, and the star formation rate -- stellar mass relation derived from a sample of star-forming galaxies (commonly refer…
LoTSS Jellyfish Galaxies IV: Enhanced Star Formation on the Leading Half of Cluster Galaxies and Gas Compression in IC3949
Ian D. Roberts, Maojin Lang, Daria Trotsenko +7
With MaNGA integral field spectroscopy, we present a resolved analysis of star formation for 29 jellyfish galaxies in nearby clusters, identified from radio continuum imaging taken…
COSMOS2020: Manifold Learning to Estimate Physical Parameters in Large Galaxy Surveys
I. Davidzon, K. Jegatheesan, O. Ilbert +16
We present a novel method to estimate galaxy physical properties from spectral energy distributions (SEDs), alternate to template fitting techniques and based on self-organizing ma…