SUPERVISED EVENT CLASSIFICATION IN AN OPTICAL TIME PROJECTION CHAMBER

被引：0

作者：

Guadilla, V. ^{[1
]}

Sokolowska, N. ^{[1
]}

Pfutzner, M. ^{[1
]}

机构：

[1] Univ Warsaw, Fac Phys, PL-02093 Warsaw, Poland

来源：

ACTA PHYSICA POLONICA B PROCEEDINGS SUPPLEMENT | 2023年 / 16卷 / 04期

关键词：

2-PROTON DECAY;

D O I：

10.5506/APhysPolBSupp.16.4-A37

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Machine Learning algorithms trained on Monte Carlo simulated data are proposed for the classification of experimental data from an Optical Time Projection Chamber. In this contribution, we describe the simulation procedure to mimic experimental data, as well as the algorithms chosen for nuclear physics cases of ss-delayed (multi)-particle emission and two-proton radioactivity. A proof of principle of the whole procedure is discussed for the decay of Be-11.

引用

页数：5

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