584 citations · 3.3k across the 48 of their papers we have counts for
43 papers · 1 filter
Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC galaxies
R. Chen, D. Scolnic, E. Rozo +82
Current and future cosmological analyses with Type Ia Supernovae (SNe Ia) face three critical challenges: i) measuring redshifts from the supernova or its host galaxy; ii) classify…
Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey
P. Lemos, N. Weaverdyck, R. P. Rollins +68
Recent cosmological analyses rely on the ability to accurately sample from high-dimensional posterior distributions. A variety of algorithms have been applied in the field, but jus…
Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies
S. Mau, E. O. Nadler, R. H. Wechsler +66
We use a recent census of the Milky Way (MW) satellite galaxy population to constrain the lifetime of particle dark matter (DM). We consider two-body decaying dark matter (DDM) in…
The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae
A. Möller, M. Smith, M. Sako +80
As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curve…
DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification
Robert Morgan, B. Nord, K. Bechtol +48
Large-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectro…
The Dark Energy Survey Supernova Program: Cosmological biases from supernova photometric classification
M. Vincenzi, M. Sullivan, A. Möller +81
Cosmological analyses of samples of photometrically-identified Type Ia supernovae (SNe Ia) depend on understanding the effects of 'contamination' from core-collapse and peculiar SN…