20 citations · 29 across the 7 of their papers we have counts for
3 papers · 1 filter
Textual interpretation of transient image classifications from large language models
Fiorenzo Stoppa, Turan Bulmus, Steven Bloemen +4
Modern astronomical surveys deliver immense volumes of transient detections, yet distinguishing real astrophysical signals (for example, explosive events) from bogus imaging artefa…
BGRem: A background noise remover for astronomical images based on a diffusion model
Rodney Nicolaas, Sascha Caron, Fiorenzo Stoppa +4
Context: Astronomical imaging aims to maximize signal capture while minimizing noise. Enhancing the signal-to-noise ratio directly on detectors is difficult and expensive, leading…
Towards a foundation model for astrophysical source detection: An End-to-End Gamma-Ray Data Analysis Pipeline Using Deep Learning
Judit Pérez-Romero, Saptashwa Bhattacharyya, Sascha Caron +9
The increasing volume of gamma-ray data demands new analysis approaches that can handle large-scale datasets while providing robustness for source detection. We present a Deep Lear…