A charge reconstruction algorithm for DAMPE silicon microstrip detectors
A charge reconstruction algorithm for DAMPE silicon microstrip detectors
复制标题
DAMPE硅微带探测器的电荷重构算法
DOI：
10.1016/j.nima.2019.04.036
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发表时间：
2019-08
期刊：
影响因子：
--
通讯作者：
Husi C
中科院分区：
文献类型：
--
作者：
Qiao Rui;Peng Wen Xi;Ambrosi G;Asf;iyarov R;Azzarello P;Bernardini P;Bertucci B;Bolognini A;Cadoux F;Caprai M;Cui Xing Zhu;Dai Guang Qi;Domenjoz M;Dong Yi Fan;Duranti M;Fan Rui Rui;Fusco P;Gallo V;Gao Min;Gargano F;Garrappa S;Gong Ke;Guo Dong Ya;Husi C
暗物质粒子探测器(DAMPE)可以探测5GeV到10TeV的电子和光子，以及几十GeV到100TeV的带电原子核。硅钨探测器(STK)由768个单面硅微带探测器组成，是DAMPE中为相对论带电粒子提供光子转换、径迹重建和电荷识别的四个子探测器之一。本文重点研究了STK探测器的电荷识别性能。电荷响应主要取决于入射粒子的入射角和撞击位置。为了提高电荷分辨率，在欧洲核子研究中心用高强度离子束进行的测试束活动中，测试了一种修正这些参数的重建算法。该算法已成功地应用于离子测试束和Z=4∼10的离子电荷，并成功地对正常入射和9°入射束进行了重建。
Abstract The DArk Matter Particle Explorer (DAMPE) can detect electrons and photons from 5 GeV to 10 TeV and charged nuclei from a few tens of GeV to 100 TeV. The silicon–tungstentracker (STK), which is composed of 768 singled-sided silicon microstrip detectors, is one of four subdetectors in DAMPE providing photon conversion, track reconstruction, and charge identification for relativistic charged particles. This paper focuses on the charge identification performance of the STK detector. The charge response depends mainly on the incident angle and the impact position of the incoming particle. To improve the charge resolution, a reconstruction algorithm to correct for these parameters was tested during a test beam campaign conducted with a high-intensity ion beam at CERN. This algorithm was successfully applied to the ion test beam and the ion charge of Z= 4∼ 10 and was successfully reconstructed for both normal and 9° incident beams.
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影响因子：
1.8
作者：
N. Bacchetta;D. Bisello;C. Calgarotto;A. Candelori;A. Paccagnella
通讯作者：
N. Bacchetta;D. Bisello;C. Calgarotto;A. Candelori;A. Paccagnella
DOI：
10.1016/s0168-9002(02)01062-8
发表时间：
2002-09
影响因子：
1.4
作者：
G. Barbiellini;G. Fedel;F. Liello;F. Longo;C. Pontoni;M. Prest;M. Tavani;E. Vallazza
通讯作者：
G. Barbiellini;G. Fedel;F. Liello;F. Longo;C. Pontoni;M. Prest;M. Tavani;E. Vallazza
影响因子：
4.9
作者：
Atwood, W. B.;Abdo, A. A.;Ziegler, M.
通讯作者：
Ziegler, M.
影响因子：
3.6
作者：
Fei Zhang;W. Peng;Ke Gong;Dianhua Wu;Yi-fan Dong;R. Qiao;R. Fan;Jin-zhou Wang;Huan-yu Wang;Xin Wu;D. Marra;P. Azzarello;V. Gallo;G. Ambrosi;A. Nardinocchi
通讯作者：
Fei Zhang;W. Peng;Ke Gong;Dianhua Wu;Yi-fan Dong;R. Qiao;R. Fan;Jin-zhou Wang;Huan-yu Wang;Xin Wu;D. Marra;P. Azzarello;V. Gallo;G. Ambrosi;A. Nardinocchi
DOI：
10.1016/j.nima.2008.07.116
发表时间：
2008-10
影响因子：
1.4
作者：
P. Zuccon
通讯作者：
P. Zuccon