1 citations · 1 across the 2 of their papers we have counts for
2 papers
hep-ph2024★ 1 cited
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…
hep-ph2023
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…