429 citations · 3.3k across the 66 of their papers we have counts for
5 papers · 1 filter
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…
Insights into Dark Matter Direct Detection Experiments: Decision Trees versus Deep Learning
Daniel E. Lopez-Fogliani, Andres D. Perez, Roberto Ruiz de Austri
The detection of Dark Matter (DM) remains a significant challenge in particle physics. This study exploits advanced machine learning models to improve detection capabilities of liq…
AutoSourceID-Classifier. Star-Galaxy Classification using a Convolutional Neural Network with Spatial Information
F. Stoppa, S. Bhattacharyya, R. Ruiz de Austri +10
Aims. Traditional star-galaxy classification techniques often rely on feature estimation from catalogues, a process susceptible to introducing inaccuracies, thereby potentially jeo…
AutoSourceID-FeatureExtractor. Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation
F. Stoppa, R. Ruiz de Austri, P. Vreeswijk +9
Aims. In astronomy, machine learning has been successful in various tasks such as source localisation, classification, anomaly detection, and segmentation. However, feature regress…
AutoSourceID-Light. Fast Optical Source Localization via U-Net and Laplacian of Gaussian
Fiorenzo Stoppa, Paul Vreeswijk, Steven Bloemen +9
. With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable s…