22 citations · 45 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants
The Cherenkov Telescope Array Consortium, F. Acero, A. Acharyya +356
The local Cosmic Ray (CR) energy spectrum exhibits a spectral softening at energies around 3~PeV. Sources which are capable of accelerating hadrons to such energies are called hadr…