7 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
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…
MALLORN: Many Artificial LSST Lightcurves based on Observations of Real Nuclear transients
Dylan Magill, Matt Nicholl, Vysakh Anilkumar +10
The Vera C. Rubin Observatory's 10-Year Legacy Survey of Space and Time (LSST) is expected to produce a hundredfold increase in the number of transients we observe. However, there…
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…