13 citations · 24 across the 2 of their papers we have counts for
11 papers
deeplenstronomy: A dataset simulation package for strong gravitational lensing
Robert Morgan, Brian Nord, Simon Birrer +2
Automated searches for strong gravitational lensing in optical imaging survey datasets often employ machine learning and deep learning approaches. These techniques require more exa…
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…
Deep Learning in Wide-field Surveys: Fast Analysis of Strong Lenses in Ground-based Cosmic Experiments
Clecio Bom, Jason Poh, Brian Nord +2
Searches and analyses of strong gravitational lenses are challenging due to the rarity and image complexity of these astronomical objects. Next-generation surveys (both ground- and…
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…
The Pierre Auger Observatory: Contributions to the 36th International Cosmic Ray Conference (ICRC 2019)
The Pierre Auger Collaboration, A. Aab, P. Abreu +383
Contributions of the Pierre Auger Collaboration to the 36th International Cosmic Ray Conference (ICRC 2019), 24 July - 1 August 2019, Madison, Wisconsin, USA.
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…