86 citations · 616 across the 27 of their papers we have counts for
18 papers · 1 filter
Weak Gravitational Lensing around Low Surface Brightness Galaxies in the DES Year 3 Data
N. Chicoine, J. Prat, G. Zacharegkas +102
We present galaxy-galaxy lensing measurements using a sample of low surface brightness galaxies (LSBGs) drawn from the Dark Energy Survey Year 3 (Y3) data as lenses. LSBGs are diff…
Rates and delay times of type Ia supernovae in the Dark Energy Survey
P. Wiseman, M. Sullivan, M. Smith +87
We use a sample of 809 photometrically classified type Ia supernovae (SNe Ia) discovered by the Dark Energy Survey (DES) along with 40415 field galaxies to calculate the rate of SN…
OzDES Reverberation Mapping Program: Lag recovery reliability for 6-year CIV analysis
Andrew Penton, Umang Malik, Tamara Davis +66
We present the statistical methods that have been developed to analyse the OzDES reverberation mapping sample. To perform this statistical analysis we have created a suite of custo…
Pushing automated morphological classifications to their limits with the Dark Energy Survey
J. Vega-Ferrero, H. Domínguez Sánchez, M. Bernardi +60
We present morphological classifications of 27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classif…
A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
S. Mucesh, W. G. Hartley, A. Palmese +72
We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorit…
Identifying RR Lyrae Variable Stars in Six Years of the Dark Energy Survey
K. M. Stringer, A. Drlica-Wagner, L. Macri +67
We present a search for RR Lyrae stars using the full six-year data set from the Dark Energy Survey (DES) covering ~5,000 sq. deg. of the southern sky. Using a multi-stage multi-va…