papers

Publications (16)

astro-ph.HE2019

Probing the origin of ultra-high-energy cosmic rays with neutrinos in the EeV energy range using the Pierre Auger Observatory

The Pierre Auger Collaboration, A. Aab, P. Abreu +389

Neutrinos with energies above eV are detectable with the Surface Detector Array of the Pierre Auger Observatory. The identification is efficiently performed for neutrinos…

astro-ph.IM2019

The Dark Energy Survey Data Release 1

T. M. C. Abbott, F. B. Abdalla, S. Allam +199

We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single epoch images, coadded images, coadded source catalogs, and associated pro…

astro-ph.IM2018

Observation of inclined EeV air showers with the radio detector of the Pierre Auger Observatory

The Pierre Auger Collaboration, A. Aab, P. Abreu +392

With the Auger Engineering Radio Array (AERA) of the Pierre Auger Observatory, we have observed the radio emission from 561 extensive air showers with zenith angles between 60$^\ci…

astro-ph.GA2020

STRIDES: Spectroscopic and photometric characterization of the environment and effects of mass along the line of sight to the gravitational lenses DES J0408-5354 and WGD 2038-4008

E. J. Buckley-Geer, H. Lin, C. Rusu +65

In time-delay cosmography, three of the key ingredients are 1) determining the velocity dispersion of the lensing galaxy, 2) identifying galaxies and groups along the line of sight…

astro-ph.CO2020

STRIDES: a 3.9 per cent measurement of the Hubble constant from the strong lens system DES J0408-5354

A. J. Shajib, S. Birrer, T. Treu +88

We present a blind time-delay cosmographic analysis for the lens system DES J04085354. This system is extraordinary for the presence of two sets of multiple images at different…

astro-ph.GA2023

Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning

E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead +88

We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local V…