The Reconstruction Software for the Muon Ionization Cooling Experiment Trackers

20th International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Dobbs, A.^1 ; Long, K.^1 ; Santos, E.^1 ; Adey, D.^2 ; Hanlet, P.^2 ; Heidt, C.^3

Imperial College London, Blackett Laboratory, Prince Consort Road, London

SW7 2AZ, United Kingdom^1

Fermilab National Accelerator Laboratory, Batavia

IL, United States^2

University of California, 900 University Ave, Riverside, Riverside

CA

92521, United States^3

关键词: Channel Clustering;    Ionization cooling;    Muon ionization cooling experiments;    Neutrino factories;    Pattern recognition algorithms;    Reconstruction software;    Scintillating fibres;    Software frameworks;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/513/2/022008/pdf
DOI  :  10.1088/1742-6596/513/2/022008

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The international Muon Ionisation Cooling Experiment (MICE) is designed to demonstrate the principle of muon ionization cooling, for application to a future Neutrino Factory or Muon Collider. In order to measure the change in emittance, MICE is equipped with a pair of high precision scintillating fibre trackers. The trackers are required to measure a 10% change in emittance to 1% accuracy (giving an overall precision of 0.1%). This paper describes the tracker reconstruction software, as a part of the overall MICE software framework, MAUS. Channel clustering is described, proceeding to the formation of space-points, which are then associated with particle tracks using pattern recognition algorithms. Finally a full custom Kalman track fit is performed, to account for energy loss and multiple scattering. Exemplar results are shown for Monte Carlo data.