Error propagation of the track model and track fitting strategy for the Iron CALorimeter detector in India-based neutrino observatory

Kolahal Bhattacharya, Arnab K. Pal, G. Majumder, Naba K. Mondal

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A Kalman filter package has been developed for reconstructing muon (μ±) 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 θ (measured from the perpendicular to the detector planes). The performances of this algorithm and its limitations are discussed.

Original languageEnglish
Pages (from-to)3259-3268
Number of pages10
JournalComputer Physics Communications
Volume185
Issue number12
DOIs
Publication statusPublished - Dec 1 2014

Fingerprint

Observatories
Calorimeters
India
calorimeters
muons
observatories
neutrinos
Iron
Detectors
iron
propagation
detectors
Kalman filters
Trajectories
Magnetic fields
state vectors
zenith
trajectories
magnetic fields
interactions

Keywords

  • Kalman filter
  • Magnetized iron calorimeter
  • Track fitting

ASJC Scopus subject areas

  • Hardware and Architecture
  • Physics and Astronomy(all)

Cite this

Error propagation of the track model and track fitting strategy for the Iron CALorimeter detector in India-based neutrino observatory. / Bhattacharya, Kolahal; Pal, Arnab K.; Majumder, G.; Mondal, Naba K.

In: Computer Physics Communications, Vol. 185, No. 12, 01.12.2014, p. 3259-3268.

Research output: Contribution to journalArticle

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