42 citations · 65 across the 4 of their papers we have counts for
4 papers
GAN-AE : An anomaly detection algorithm for New Physics search in LHC data
Louis Vaslin, Vincent Barra, Julien Donini
In recent years, interest has grown in alternative strategies for the search for New Physics beyond the Standard Model. One envisaged solution lies in the development of anomaly de…
Fitting the BumpHunter test statistic distribution and global p-value estimation
Louis Vaslin, Samuel Calvet, Vincent Barra +1
In high Energy Physics, it is common to look for a localized deviation in data with respect to a given reference. For this task, the well known BumpHunter algorithm allows for a mo…
pyBumpHunter: A model independent bump hunting tool in Python for High Energy Physics analyses
Louis Vaslin, Samuel Calvet, Vincent Barra +1
The BumpHunter algorithm is widely used in the search for new particles in High Energy Physics analysis. This algorithm offers the advantage of evaluating the local and global p-va…
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
Gregor Kasieczka, Benjamin Nachman, David Shih +44
A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. I…