4 citations · 5 across the 3 of their papers we have counts for
3 papers · 1 filter
hep-aid: A Python Library for Sample Efficient Parameter Scans in Beyond the Standard Model Phenomenology
Mauricio A. Diaz, Srinandan Dasmahapatra, Stefano Moretti
This paper presents hep-aid, a modular Python library conceived for utilising, implementing, and developing parameter scan algorithms. Originally devised for sample-efficient, mult…
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…