A novel robust and efficient algorithm for charge particle tracking in high background flux. (April 2015)

• Record Type: Journal Article
• Authors: Fanelli, C; Cisbani, E; Dotto, A Del
• Is Part Of: Journal of physics. Number 608(2015)
• Publication Date: 2015-04
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/608/1/012053
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: 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 10 39 cm -2 s -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.