Energy reconstruction in a highly granularity semi-digital hadronic calorimeter

Abstract : The Semi-Digital Hadronic CALorimeter(SDHCAL) using Glass Resistive Plate Chambers (GRPCs) is one of the calorimeters proposed for particle physics experiments at the future electron-positron collider. It is a high granularity calorimeter which is required for the application of the particle flow algorithm in order to improve the jet energy resolution as one of the goals of this experiments. We discuss the energy reconstruction, based on digital and semi-Digital methods, to study the effect on the improvement of the single particle energy resolution and the linearity of the detecor response. This study was performed with the GEANT4 simulation. Results on the energy resolution and linearity, for negative pions over an energy range from 1 to 100 GeV are presented and compared with different energy reconstruction methods including Artificial Neural Networks. 1. Introduction The CALICE collaboration [1] has developed several calorimeter prototypes to evaluate the most appropriate one to be used in the future Linear Collider. One of them is the semi-digital hadronic calorimeter (SDHCAL) constructed in IPNL with the collaboration of other laboratories. In this paper we first present the geometry of this prototype used in simulation. Then, we present the different techniques of energy reconstruction used in SDHCAL. Finally, the results of the energy resolution and linearity obtained are presented and commented upon.
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21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Apr 2015, Okinawa, Japan. Journal of Physics: Conference Series, 664, pp.072033, 2015, 〈10.1088/1742-6596/664/7/072033〉
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S. Mannai, K. Manai, E. Cortina, I. Laktineh. Energy reconstruction in a highly granularity semi-digital hadronic calorimeter. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Apr 2015, Okinawa, Japan. Journal of Physics: Conference Series, 664, pp.072033, 2015, 〈10.1088/1742-6596/664/7/072033〉. 〈in2p3-01267513〉

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