Charged particle track reconstruction with S$\pi$RIT Time Projection Chamber

Abstract

In this paper, we present a software framework, S$\pi$RITROOT, which is capable of track reconstruction and analysis of heavy-ion collision events recorded with the S$\pi$RIT time projection chamber. The track-fitting toolkit GENFIT and the vertex reconstruction toolkit RAVE are applied to a box-type detector system. A pattern recognition algorithm which performs helix track finding and handles overlapping pulses is described. The performance of the software is investigated using experimental data obtained at the Radioactive Isotope Beam Facility (RIBF) at RIKEN. This work focuses on data from ${}^{132}$Sn + ${}^{124}$Sn collision events with beam energy of 270 AMeV. Particle identification is established using $⟨dE/dx⟩$ and magnetic rigidity, with pions, hydrogen isotopes, and helium isotopes.

arXiv comment10 pages, 17 figures

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Cited by in corpus (8)

• Probing the Symmetry Energy with the Spectral Pion Ratio
• Symmetry energy investigation with pion production from Sn+Sn systems
• The S$\pi$RIT Time Projection Chamber
• Isoscaling in central Sn+Sn collisions at 270 MeV/u
• Tracking Algorithms for TPCs using Consensus-Based Robust Estimators
• Constraining nucleon effective masses with flow and stopping observables from the S$\pi$RIT experiment
• Digital Signal Analysis based on Convolutional Neural Networks for Active Target Time Projection Chambers
• Applying machine learning to determine impact parameter in nuclear physics experiments