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 language | English |
|---|---|
| Pages (from-to) | 182-194 |
| Number of pages | 13 |
| Journal | Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment |
| Volume | 867 |
| DOIs | |
| Publication status | Published - 21 Sept 2017 |
Keywords
- Algebraic Riccati equation
- Bayesian approach
- Kalman filter
- Multiple scattering
- Noise covariance estimation
- Track momentum measurement
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