Novel particle tracking algorithm based on the Random Sample Consensus Model for the Active Target Time Projection Chamber (AT-TPC)

被引：20
|
作者：
Ayyad, Yassid [1 ,2 ]
Mittig, Wolfgang [1 ]
Bazin, Daniel [1 ]
Beceiro-Novo, Saul [1 ]
Cortesi, Marco [1 ]
机构：
[1] Natl Superconducting Cyclotron Lab, 640 S Shaw Lane, E Lansing, MI 48824 USA
[2] Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
来源：
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2018年 / 880卷
基金：
美国国家科学基金会;
关键词：
Active Target; Tracking; Reconstruction; Low-energy; DETECTORS;
D O I：
10.1016/j.nima.2017.10.090
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
The three-dimensional reconstruction of particle tracks in a time projection chamber is a challenging task that requires advanced classification and fitting algorithms. In this work, we have developed and implemented a novel algorithm based on the Random Sample Consensus Model (RANSAC). The RANSAC is used to classify tracks including pile-up, to remove uncorrelated noise hits, as well as to reconstruct the vertex of the reaction. The algorithm, developed within the Active Target Time Projection Chamber (AT-TPC) framework, was tested and validated by analyzing the(4)He+He-4 reaction. Results, performance and quality of the proposed algorithm are presented and discussed in detail. Published by Elsevier B.V.
引用
收藏
页码：166 / 173
页数：8
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