Publications (8)
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…
The flash-ionised SN Ibn 2025kzr: H-free CSM formed during a precursor outburst 55 days prior to explosion
S. de Wet, G. Leloudas, D. A. H. Buckley +33
Type Ibn supernovae (SNe) are a class of interacting SNe characterised by narrow helium lines in their spectra. We present an extensive observational dataset of the Type Ibn SN 202…
XMM-Newton-discovered Fast X-ray Transients: Host galaxies and limits on contemporaneous detections of optical counterparts
D. Eappachen, P. G. Jonker, J. Quirola-Vásquez +18
Extragalactic fast X-ray transients (FXTs) are a class of soft (0.3-10 keV) X-ray transients lasting a few hundred seconds to several hours. Several progenitor mechanisms have been…
Pan-STARRS follow-up of the gravitational-wave event S250818k and the lightcurve of SN 2025ulz
J. H. Gillanders, M. E. Huber, M. Nicholl +30
Kilonovae are the scientifically rich, but observationally elusive, optical transient phenomena associated with compact binary mergers. Only a handful of events have been discovere…
Automated Detection of Satellite Trails in Ground-Based Observations Using U-Net and Hough Transform
F. Stoppa, P. J. Groot, R. Stuik +4
The expansion of satellite constellations poses a significant challenge to optical ground-based astronomical observations, as satellite trails degrade observational data and compro…
The BlackGEM telescope array I: Overview
Paul J. Groot, S. Bloemen, P. Vreeswijk +75
The main science aim of the BlackGEM array is to detect optical counterparts to gravitational wave mergers. Additionally, the array will perform a set of synoptic surveys to detect…
FINKER: Frequency Identification through Nonparametric KErnel Regression in astronomical time series
F. Stoppa, C. Johnston, E. Cator +2
Optimal frequency identification in astronomical datasets is crucial for variable star studies, exoplanet detection, and asteroseismology. Traditional period-finding methods often…
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…