Update of INO-ICAL reconstruction algorithm

S. Seth, A. Bhatt, G. Majumder, A. Mishra

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The INO-ICAL is a proposed neutrino physics experiment, which will be made of 50 kTon of low carbon magnetized steel layers, tiled with 4 m × 2 m ×56 mm thick plates, alternating with layers of RPCs as a sensitive detector. The GEANT4 toolkit is used to simulate the matter particle interactions and digitization is based on the data collected in the prototype detector at Madurai. The momentum and direction of charged particle tracks are estimated using the Kalman filter technique and reconstruction of hadron shower using a clustering algorithm. In this paper, the measurement of the momentum of fully contained charge particles using the total path length of the trajectory will be discussed and compared with the Kalman filter technique. A clustering algorithm for the measurement of the energy of hadronic showers along with its direction will also be discussed. This hadron clustering algorithm is used first time in the ICAL detector simulation.

Original languageEnglish
Article numberP09015
JournalJournal of Instrumentation
Volume13
Issue number9
DOIs
Publication statusPublished - Sep 18 2018

Fingerprint

Reconstruction Algorithm
Clustering algorithms
Clustering Algorithm
Update
Detector
Kalman filters
showers
Detectors
Kalman Filter
detectors
Momentum
momentum
thick plates
particle tracks
Digitization
low carbon steels
Particle interactions
Analog to digital conversion
Low carbon steel
particle interactions

Keywords

  • Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc)
  • Pattern recognition, cluster finding, calibration and fitting methods
  • Resistive-plate chambers
  • Simulation methods and programs

ASJC Scopus subject areas

  • Instrumentation
  • Mathematical Physics

Cite this

Update of INO-ICAL reconstruction algorithm. / Seth, S.; Bhatt, A.; Majumder, G.; Mishra, A.

In: Journal of Instrumentation, Vol. 13, No. 9, P09015, 18.09.2018.

Research output: Contribution to journalArticle

Seth, S. ; Bhatt, A. ; Majumder, G. ; Mishra, A. / Update of INO-ICAL reconstruction algorithm. In: Journal of Instrumentation. 2018 ; Vol. 13, No. 9.
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