Track fitting by Kalman Filter method for a prototype cosmic ray muon detector

TL;DR

This paper presents a Kalman Filter-based track fitting method for a prototype cosmic ray muon detector, demonstrating its effectiveness in reconstructing muon parameters and charge identification.

Contribution

Introduces a novel Kalman Filter approach for track fitting in a prototype ICAL detector, including design, simulation, and performance analysis.

Findings

Successful reconstruction of muon momentum and direction.

High charge identification efficiency for muons.

Effective simulation of detector response with cosmic rays.

Abstract

We have developed a track fitting procedure based on Kalman Filter technique for an Iron Calorimeter (ICAL) prototype detector when the detector is flushed with single muon tracks. The relevant track parameters i.e., momentum, direction and charge are reconstructed and analyzed. This paper discusses the design of the prototype detector, its geometry simulation by Geant4, and the detector response with the cosmic ray muons. Finally we show the resolution of reconstructed momenta and also the charge identification efficiency of $\mu^+$ and $\mu^-$ events in the magnetized ICAL.