학술논문

Analysis of Mass-production Data of the GAPS Si(Li) Detectors using Data-mining Methods
Document Type
Conference
Source
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2021 IEEE. :1-5 Oct, 2021
Subject
Communication, Networking and Broadcast Technologies
Nuclear Engineering
Signal Processing and Analysis
Fabrication
Mass production
Detectors
Production
Silicon
Data mining
Cosmic rays
Cosmic ray antinuclei
Large-size silicon detectors
Lithium-drifted silicon detector
data mining
Language
ISSN
2577-0829
Abstract
New-type lithium-drifted silicon (Si(Li)) detectors have been developed and mass-produced to construct a large-volume silicon tracker for the General Antiparticle Spectrometer (GAPS). It is the first success of the mass production of large-area Si(Li) detectors. The mass production of over 1000 detectors provided valuable datasets related to detector fabrication, such as detector performance and manufacturing parameters. This study analyzes the datasets using data-mining methods. We report on the preliminary results and their interpretations, which provide valuable insights into the production methods for such large-area Si(Li) detectors.