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

页码：166 / 173

页数：8

共 27 条

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