Speaker
Mr
Ivan Oleksiyuk
(UNIGE)
Description
We propose a new model independent method of new physics searches called cluster scanning (CS). It utilises
k-means algorithm to perform clustering in the space of low-level event or jet observables, and separates
potentially anomalous clusters to construct the anomaly rich region from the rest that form the anomaly
poor region. The spectra of the invariant mass in these two regions are then used to determine whether
a resonant signal is present. We apply this approach in a pseudo-analysis using the LHC Olympics R&D
dataset and demonstrate the performance gains over the methods based on the global n-parameter function
fits commonly used in bump hunting. Emphasis is put on the speed and simplicity of the method
Authors
Mr
Ivan Oleksiyuk
(UNIGE)
Johnny Raine
(Universite de Geneve (CH))
Michael Kraemer
(Particle Physics)
Prof.
Svyatoslav VOLOSHYNOVSKYY
(University of Geneva)
Tobias Golling
(Universite de Geneve (CH))
