Robust Neural Particle Identification Models

The volume of data processed by the Large Hadron Collider experiments demands sophisticated selection rules typically based on machine learning algorithms. One of the shortcomings of these approaches is their profound sensitivity to the biases in training samples. In the case of particle identificat...

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Veröffentlicht in:	arXiv.org 2022-12
Hauptverfasser:	Aziz Temirkhanov, Ryzhikov, Artem, Derkach, Denis, Hushchyn, Mikhail, Kazeev, Nikita, Mokhnenko, Sergei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Degradation Kinematics Large Hadron Collider Machine learning Training
Online-Zugang:	Volltext
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