3 papers
astro-ph.HE2026
Automatically distinguishing Rubin transients from AGN using variability metrics
Dylan Magill, Matt Nicholl, Philip Wiseman +7
Stochastic variability of active galactic nuclei (AGN) can produce contaminants in the search for explosive extragalactic transients (such as supernovae and tidal disruption events…
astro-ph.HE2026
Uncertainty-Aware Tidal Disruption Event Classification : A Host-Agnostic Probabilistic Random Forest Approach
Vysakh Anilkumar, Sjoert van Velzen, Marek Kowalski +1
The classification of Tidal Disruption Events in large-scale photometric surveys is challenging because deterministic machine learning models produce overconfident misclassificatio…
astro-ph.GA2025
Modelling variability power spectra of active galaxies from irregular time series
Mehdy Lefkir, Simon Vaughan, Daniela Huppenkothen +2
A common feature of Active Galactic Nuclei (AGN) is their random variations in brightness across the whole emission spectrum, from radio to -rays. Studying the nature and origin…