5 citations · 9 across the 4 of their papers we have counts for
4 papers · 1 filter
Bayesian Active Search on Parameter Space: a 95 GeV Spin-0 Resonance in the ()SSM
Mauricio A. Diaz, Giorgio Cerro, Srinandan Dasmahapatra +1
In the attempt to explain possible data anomalies from collider experiments in terms of New Physics (NP) models, computationally expensive scans over their parameter spaces are typ…
JetLOV: Enhancing Jet Tree Tagging through Neural Network Learning of Optimal LundNet Variables
Mauricio A. Diaz, Giorgio Cerro, Jacan Chaplais +2
Machine learning has played a pivotal role in advancing physics, with deep learning notably contributing to solving complex classification problems such as jet tagging in the field…
Spectral Clustering for Jet Reconstruction
G. Cerro, S. Dasmahapatra, H. A. Day-Hall +4
We present a new approach to jet definition alternative to clustering methods, such as the anti- scheme, that exploit kinematic data directly. Instead the new method uses kine…
Spectral Clustering for Jet Physics
G. Cerro, S. Dasmahapatra, H. A. Day-Hall +3
We present a new approach to jet definition alternative to clustering methods, such as the anti- scheme, that exploit kinematic data directly. Instead the new method uses kine…