62 citations · 316 across the 14 of their papers we have counts for
3 papers · 1 filter
Rare and Different: Anomaly Scores from a combination of likelihood and out-of-distribution models to detect new physics at the LHC
Sascha Caron, Luc Hendriks, Rob Verheyen
We propose a new method to define anomaly scores and apply this to particle physics collider events. Anomalies can be either rare, meaning that these events are a minority in the n…
Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge
Boris Panes, Christopher Eckner, Luc Hendriks +5
At GeV energies, the sky is dominated by the interstellar emission from the Galaxy. With limited statistics and spatial resolution, accurately separating point sources is therefore…
A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications
The DarkMachines High Dimensional Sampling Group, Csaba Balázs, Melissa van Beekveld +18
Optimisation problems are ubiquitous in particle and astrophysics, and involve locating the optimum of a complicated function of many parameters that may be computationally expensi…