A first application of machine and deep learning for background rejection in the ALPS II TES detector

Axions and axion-like particles are hypothetical particles predicted in extensions of the standard model and are promising cold dark matter candidates. The Any Light Particle Search (ALPS II) experiment is a light-shining-through-the-wall experiment that aims to produce these particles from a strong...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2023-04
Hauptverfasser:	Meyer, Manuel, Isleif, Katharina, Januschek, Friederike, Lindner, Axel, Othman, Gulden, Jose Alejandro Rubiera Gimeno, Schwemmbauer, Christina, Schott, Matthias, Shah, Rikhav, the ALPS II collaboration
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Cold dark matter Deep learning Hypothetical particles Light sources Machine learning Photons Physics - High Energy Physics - Experiment Physics - Instrumentation and Detectors Rejection
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!