33 citations · 142 across the 14 of their papers we have counts for
14 papers
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…
SNID-SAGE: A Modern Framework for Interactive Supernova Classification and Spectral Analysis
Fiorenzo Stoppa, Stephen J. Smartt
We present SNID-SAGE (SuperNova IDentification-Spectral Analysis and Guided Exploration), a framework for supernova spectral classification with both a fully interactive graphical…
ATLAS100 -- I. A volume-limited sample of supernovae and related transients within 100 Mpc
Shubham Srivastav, Stephen J. Smartt, Thomas Moore +29
We present ATLAS100 -- a sample of 1729 supernovae and other explosive optical transients within Mpc observed by the ATLAS survey over a span of 5.75 years from 2017 Sep…
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…
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…
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…
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…
Consistency Tests for Comparing Astrophysical Models and Observations
Fiorenzo Stoppa, Eric Cator, Gijs Nelemans
In astronomy, there is an opportunity to enhance the practice of validating models through statistical techniques, specifically to account for measurement error uncertainties. Whil…
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…
The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors
Shu-Xu Yi, Fiorenzo Stoppa, Gijs Nelemans +1
We employ the method used by the GW-Universe Toolbox to generate a synthetic catalogue of detection of stellar mass binary black hole (BBH) mergers. We study advanced LIGO (aLIGO)…
The Gravitational Wave Universe Toolbox: A software package to simulate observation of the Gravitational Wave Universe with different detectors
Shu-Xu Yi, Gijs Nelemans, Christiaan Brinkerink +5
Context. As the importance of Gravitational Wave (GW) Astrophysics increases rapidly, astronomers in different fields and with different backgrounds can have the need to get a quic…
MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning
Zafiirah Hosenie, Steven Bloemen, Paul Groot +13
Astronomers require efficient automated detection and classification pipelines when conducting large-scale surveys of the (optical) sky for variable and transient sources. Such pip…