Charged particle tracking without magnetic field: Optimal measurement of track momentum by a Bayesian analysis of the multiple measurements of deflections due to multiple scattering

Mikael Frosini, Denis Bernard

Research output: Contribution to journalArticlepeer-review

Abstract

We revisit the precision of the measurement of track parameters (position, angle) with optimal methods in the presence of detector resolution, multiple scattering and zero magnetic field. We then obtain an optimal estimator of the track momentum by a Bayesian analysis of the filtering innovations of a series of Kalman filters applied to the track. This work could pave the way to the development of autonomous high-performance gas time-projection chambers (TPC) or silicon wafer γ-ray space telescopes and be a powerful guide in the optimization of the design of the multi-kilo-ton liquid argon TPCs that are under development for neutrino studies.

Original languageEnglish
Pages (from-to)182-194
Number of pages13
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume867
DOIs
Publication statusPublished - 21 Sept 2017

Keywords

  • Algebraic Riccati equation
  • Bayesian approach
  • Kalman filter
  • Multiple scattering
  • Noise covariance estimation
  • Track momentum measurement

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