activity
20082026
most citedImproved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples

1.9k citations · 2.6k across the 13 of their papers we have counts for

collaborators

13 papers

astro-ph.CO2026

Supernovae Unite: Host-Galaxy Mass Measurements of Type Ia Supernovae and Their Impact on Cosmology

J. Lee, R. Camilleri, T. M. Davis +22

Current consensus suggests that Type Ia supernova (SN Ia) brightnesses post light-curve standardization correlate with their host-galaxy stellar masses, which must be accounted for…

astro-ph.CO2024★ 18 cited

The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

M. Vincenzi, D. Brout, P. Armstrong +93

We present the full Hubble diagram of photometrically-classified Type Ia supernovae (SNe Ia) from the Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,…

astro-ph.CO2024★ 37 cited

The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

DES Collaboration, T. M. C. Abbott, M. Acevedo +156

We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during the full five years of the Dark Energy Survey (DES) Supernova Program. In contra…

astro-ph.HE2019★ 7 cited

The Mystery of Photometric Twins DES17X1boj and DES16E2bjy

M. Pursiainen, C. Gutierrez, P. Wiseman +80

We present an analysis of DES17X1boj and DES16E2bjy, two peculiar transients discovered by the Dark Energy Survey (DES). They exhibit nearly identical double-peaked light curves wh…

astro-ph.SR2016★ 49 cited

Early observations of the nearby type Ia supernova SN 2015F

R. Cartier, M. Sullivan, R. Firth +25

We present photometry and time-series spectroscopy of the nearby type Ia supernova (SN Ia) SN 2015F over days to days relative to maximum light, obtained as part of the…

astro-ph.IM2014★ 53 cited

Machine Learning Classification of SDSS Transient Survey Images

L. du Buisson, N. Sivanandam, B. A. Bassett +1

We show that multiple machine learning algorithms can match human performance in classifying transient imaging data from the Sloan Digital Sky Survey (SDSS) supernova survey into r…