Update of INO-ICAL reconstruction algorithm

The INO-ICAL is a proposed neutrino physics experiment, which will be made of 50 kTon of low carbon magnetized steel layers, tiled with 4mx2mx56 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.