5 papers
Using Machine Learning to Estimate Near-ultraviolet Magnitudes and Probe Quenching Mechanisms of =0 Nuggets in the RESOLVE and ECO Surveys
D. S. Carr, S. J. Kannappan, Z. L. Hutchens +4
We present a census of nuggets -- compact galaxies that form via gas-rich violent disk instability -- within the luminosity- and volume-limited REsolved Spectroscopy Of a Loc…
The RESOLVE and ECO G3 Initiative: Drivers of HI Content and X-ray Emission in Galaxy Groups
Zackary L. Hutchens, Sheila J. Kannappan, Kelley M. Hess +5
Adding to the RESOLVE and ECO Gas in Galaxy Groups (G3) initiative, we examine possible drivers of group-integrated HI-to-halo mass ratios () and group…
Recovering the properties of the interstellar medium through integrated spectroscopy: application to the z~0 ECO volume-limited star-forming galaxy sample
V. Lebouteiller, C. T. Richardson, M. S. Polimera +7
Deriving physical parameters from integrated galaxy spectra is paramount to interpret the cosmic evolution of star formation, chemical enrichment, and energetic sources. We develop…
Looking At the Distant Universe with the MeerKAT Array: the HI Mass Function in the Local Universe
Amir Kazemi-Moridani, Andrew J. Baker, Marc Verheijen +24
We present measurements of the neutral atomic hydrogen (HI) mass function (HIMF) and cosmic HI density () at from the Looking at the Distant Univ…
Identification and Quenching of Nugget Galaxies in the RESOLVE Survey at z = 0
Derrick S. Carr, Sheila J. Kannappan, Mark A. Norris +7
We present a complete census of candidate nuggets, i.e., dense galaxies likely formed by compaction with intense gas influx, within the volume-limited REsolved Spectrosc…