Effect of large-angle incidence on particle identification performance for light-charged ($Z \le 2$) particles by pulse shape analysis with a pad-type nTD silicon detector
Abstract
In recent years, particle discrimination methods based on digital waveform analysis techniques for neutron-transmutation-doped silicon (nTD-Si) detectors have become widely used for the identification of low-energy charged particles. Although the particle discrimination capability of this method has been well demonstrated for small incident angles, the particle discrimination performance may be affected by changes in the detector response when the detector is moved closer to the charged particle source and the incident position distribution and incident angle distribution to the detector become wide. In this study, we performed a beam test for particle discrimination in light-charged () particles using the digital waveform analysis method with a pad-type nTD-Si detector and investigated the dependence of the performance of the particle discrimination on the incident position and incident angle. As the incident angle increased, a decrease in the maximum current was observed, which was sufficient to affect the performance of the particle discrimination. This decrease can be expressed as a function of the penetration depth of the charged particles into the detector, which varies for each nuclide.
Keywords
Cite
@article{arxiv.2308.16433,
title = {Effect of large-angle incidence on particle identification performance for light-charged ($Z \le 2$) particles by pulse shape analysis with a pad-type nTD silicon detector},
author = {Shoichiro Kawase and Takuya Murota and Hiroya Fukuda and Masaya Oishi and Teppei Kawata and Kentaro Kitafuji and Seiya Manabe and Yukinobu Watanabe and Hiroki Nishibata and Shintaro Go and Tamito Kai and Yuto Nagata and Taiga Muto and Yuichi Ishibashi and Megumi Niikura and Daisuke Suzuki and Teiichiro Matsuzaki and Katsuhiko Ishida and Rurie Mizuno and Noritaka Kitamura},
journal= {arXiv preprint arXiv:2308.16433},
year = {2023}
}
Comments
8 pages, 13 figures