594 citations · 7.5k across the 116 of their papers we have counts for
116 papers
MUSE-ALMA Haloes XVI: a census of the condensed baryons in z~0.5 HI absorption-selected galaxies
T. O'Beirne, C. Péroux, M. Zwaan +16
We use the MUSE-ALMA Haloes sample to build a census of the condensed baryons (stars and cold gas) to study the multiphase interstellar medium and circumgalactic medium (CGM). The…
The Galactic Squeeze: How Aggregate and Highly Dynamical Environments Shape Star Formation in the Local Universe
Wesley Van Kempen, Michelle E. Cluver, Edward N. Taylor +2
We investigate how galaxy evolution varies with environment in the nearby Universe by comparing an ``average'' reference volume in the Southern Galactic Pole (SGP) dataset from \ci…
WALLABY: an untargeted search for H I-bearing ultra-diffuse galaxies uncovers the first known ultra-diffuse galaxy pair
T. O'Beirne, V. A. Kilborn, M. E. Cluver +14
Using the Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) we performed an untargeted search for H I-bearing ultra-diffuse galaxies (UDGs). We identified a core sample…
Group Therapy for Halos: Advancing Halo Mass Estimation for Galaxy Groups
Welsey Van Kempen, Michelle E. Cluver, Edward N. Taylor +3
Accurate estimation of dark matter halo masses for galaxy groups is central to studies of galaxy evolution and for leveraging group catalogues as cosmological probes. We present a…
The central spectra of massive star-forming galaxies
Jaimie R. Sheil, Michael J. I . Brown, Virginia A. Kilborn +2
We have examined the nuclear spectra of very massive star-forming galaxies at to understand how they differ from other galaxies with comparable masses, which are typical…
Real-Time Active Learning for optimised spectroscopic follow-up: Enhancing early SN Ia classification with the Fink broker
A. Möller, E. E. O. Ishida, J. Peloton +6
Current and future surveys rely on machine learning classification to obtain large and complete samples of transients. Many of these algorithms are restricted by training samples t…