MULTIPLICATION OF SIMULATED EVENTS USING MACHINE LEARNING TECHNIQUES

被引：0
|
作者：
Sowa, Karol [1 ]
Krupa, Wojciech [1 ]
Szumlak, Tomasz [1 ]
Oblakowska-Mucha, Agnieszka [1 ]
机构：
[1] AGH Univ Sci & Technol, Fac Phys & Appl Comp Sci, Al Mickiewicza 30, PL-30059 Krakow, Poland
来源：
ACTA PHYSICA POLONICA B PROCEEDINGS SUPPLEMENT | 2023年 / 16卷 / 03期
关键词：
D O I：
10.5506/APhysPolBSupp.16.3-A17
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Nowadays, simulated data are commonly used in modern high-energy physics experiments. They are essential not only in determining certain performances but also in training machine learning algorithms. However, in some cases, such as rare heavy meson decays, generating data requires enormous computational resources. To speed up this process significantly, we propose a new method - to replicate simulated data using existing samples. Preliminary results of the algorithm are presented.
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页数：6
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