189 citations · 412 across the 15 of their papers we have counts for
6 papers · 1 filter
Hector Galaxy Survey: Data Processing, Quality Control and Early Science
S. Oh, M. L. P. Gunawardhana, S. M. Croom +52
The Hector Galaxy Survey is a new optical integral field spectroscopy (IFS) survey currently using the AAT to observe up to 15,000 galaxies at low redshift (). The Hector…
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…
MINERVA: A NIRCam Medium Band and MIRI Imaging Survey to Unlock the Hidden Gems of the Distant Universe
Adam Muzzin, Katherine A. Suess, Danilo Marchesini +81
We present an overview of the MINERVA survey, a 259.8 hour (prime) and 127 hour (parallel) Cycle 4 treasury program on the James Webb Space Telescope (JWST). MINERVA is obtaining 8…
WALLABY pilot survey: properties of HI-selected dark sources and low surface brightness galaxies
T. O'Beirne, L. Staveley-Smith, V. A. Kilborn +13
We examine the optical counterparts of the 1829 neutral hydrogen (HI) detections in three pilot fields in the Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) using dat…
SALT spectroscopic follow-up of the G4Jy Sample
Sarah V. White, Kshitij Thorat, Moses Mogotsi +9
The GLEAM 4-Jy (G4Jy) Sample is a thorough compilation of the 'brightest' radio sources in the southern sky (Declination < 30 deg), as measured at 151 MHz (S > 4.0 Jy) with the Mur…
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…