Error Propagation of the Track Model and Track Fitting Strategy for the Iron CALorimeter Detector in India-based Neutrino Observatory

TL;DR

This paper presents a Kalman filter-based algorithm for muon track reconstruction in the India-based Neutrino Observatory's ICAL detector, focusing on error propagation, higher order corrections, and performance analysis.

Contribution

It introduces a detailed muon track fitting algorithm with advanced error propagation and correction techniques tailored for dense materials and magnetic field inhomogeneities.

Findings

Effective reconstruction of muon tracks at large zenith angles.

Inclusion of higher order correction terms improves accuracy.

Discussion of algorithm limitations and performance.

Abstract

A Kalman filter package has been developed for reconstructing muon ($\mu^\pm$) tracks (coming from the neutrino interactions) in ICAL detector. Here, we describe the algorithm of muon track fitting, with emphasis on the error propagation of the elements of Kalman state vector along the muon trajectory through dense materials and inhomogeneous magnetic field. The higher order correction terms are included for reconstructing muon tracks at large zenith angle $\theta$ (measured from the perpendicular to the detector planes). The performances of this algorithm and its limitations are discussed.