Genetic Algorithm for determination of the event collision time and particle identification by time-of-flight at NICA SPD

Abstract

Particle identification is an important feature of the future SPD experiment at the NICA collider. In particular, identification of particles with momenta up to a few GeV/c by their time-of-flight will facilitate reconstruction of events of interest. High time-resolution of modern TOF detectors dictates the need to obtain the event collision time t0 with comparable accuracy. While determination of the collision time is feasible through the use of TOF signals supplemented by track reconstruction, it proves to be computationally expensive. In this work we have developed a dedicated Genetic Algorithm as a fast and accurate method to determine the pp-collision time by the measurements of the TOF detector at the SPD experiment. By using this reliable method for t0 determination we compare different approaches for the particle identification procedure based on TOF-signals.

arXiv commentContribution to The 6th international conference on particle physics and astrophysics (ICPPA-2022). Results, Discussions and References are extended

References in corpus (5)

• Extensive Particle Identification with TPC and TOF at the STAR Experiment
• Determination of the event collision time with the ALICE detector at the LHC
• A Fixed-Target Programme at the LHC: Physics Case and Projected Performances for Heavy-Ion, Hadron, Spin and Astroparticle Studies
• Particle identification in ALICE: a Bayesian approach
• Longitudinal double-spin asymmetry for inclusive jet and dijet production in polarized proton collisions at $\sqrt{s}=200$ GeV

Cited by in corpus (1)

• Fast way to determine pp-collision time at the SPD experiment