Analysis of Mass-production Data of the GAPS Si(Li) Detectors using Data-mining Methods
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 dete...
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Published in: | 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) pp. 1 - 5 |
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Main Authors: | , , , , , , , , , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
16-10-2021
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Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 2577-0829 |
DOI: | 10.1109/NSS/MIC44867.2021.9875898 |