258 citations · 1.1k across the 19 of their papers we have counts for
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Deep inference of simulated strong lenses in ground-based surveys
Jason Poh, Ashwin Samudre, Aleksandra Ćiprijanović +3
The large number of strong lenses discoverable in future astronomical surveys will likely enhance the value of strong gravitational lensing as a cosmic probe of dark energy and dar…
Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based Inference
Jason Poh, Ashwin Samudre, Aleksandra Ćiprijanović +4
Current ground-based cosmological surveys, such as the Dark Energy Survey (DES), are predicted to discover thousands of galaxy-scale strong lenses, while future surveys, such as th…
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…
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…