16th International workshop on Advanced Computing and Analysis Techniques in physics research | |
A novel robust and efficient algorithm for charge particle tracking in high background flux | |
物理学;计算机科学 | |
Fanelli, C.^1,2 ; Cisbani, E.^2 ; Dotto, A Del^3 | |
Dipartimento di Fisica, Università la Sapienza, Rome | |
I-00185, Italy^1 | |
INFN, Sezione di Roma, Istituto Superiore di Sanità, Rome | |
I-00161, Italy^2 | |
Dept. of Phys. and Math. Univ. of Rome Roma Tre, INFN, Sezione di Roma Tre, Rome | |
I-00146, Italy^3 | |
关键词: Gaseous electron multipliers; High-energy particles; Multi-step approaches; Neural network (nn); Particle tracking; Physics experiments; Rauch-tung-striebel smoothers; Tracking algorithm; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/608/1/012053/pdf DOI : 10.1088/1742-6596/608/1/012053 |
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学科分类:计算机科学(综合) | |
来源: IOP | |
【 摘 要 】
The high luminosity that will be reached in the new generation of High Energy Particle and Nuclear physics experiments implies large high background rate and large tracker occupancy, representing therefore a new challenge for particle tracking algorithms. For instance, at Jefferson Laboratory (JLab) (VA,USA), one of the most demanding experiment in this respect, performed with a 12 GeV electron beam, is characterized by a luminosity up to 1039cm-2s-1. To this scope, Gaseous Electron Multiplier (GEM) based trackers are under development for a new spectrometer that will operate at these high rates in the Hall A of JLab. Within this context, we developed a new tracking algorithm, based on a multistep approach: (i) all hardware - time and charge - information are exploited to minimize the number of hits to associate; (ii) a dedicated Neural Network (NN) has been designed for a fast and efficient association of the hits measured by the GEM detector; (iii) the measurements of the associated hits are further improved in resolution through the application of Kalman filter and Rauch- Tung-Striebel smoother. The algorithm is shortly presented along with a discussion of the promising first results.
【 预 览 】
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A novel robust and efficient algorithm for charge particle tracking in high background flux | 1863KB | download |