Abstract
The CALICE Semi-Digital Hadronic Calorimeter technological prototype is a sampling calorimeter using Glass Resistive Plate Chamber detectors with a three-threshold readout as the active medium. This technology is one of the two options proposed for the hadronic calorimeter of the International Large Detector for the International Linear Collider. The prototype was exposed to beams of muons, electrons and pions of different energies at the CERN Super Proton Synchrotron. To be able to study the performance of such a calorimeter in future experiments it is important to ensure reliable simulation of its response. This paper presents the SDHCAL prototype simulation performed with GEANT4 and the digitization procedure achieved with an algorithm called SimDigital. A detailed description of this algorithm is given and the methods to determinate its parameters using muon tracks and electromagnetic showers are explained. The comparison with hadronic shower data shows a good agreement up to 50 GeV. Discrepancies are observed at higher energies. The reasons for these differences are investigated.
Highlights
When a charged particle crosses the gas gap, several gas molecules are ionized1
In this paper we present our prototype simulation performed with GEANT4 and the digitization procedure achieved with an algorithm called SimDigital
In the SDHCAL prototype, GRPCs are operated in avalanche mode
Summary
The cathode and the anode are glass plates with thicknesses of 1.1 mm and 0.7 mm respectively These electrodes are painted with a resistive coating on the outer surfaces which allows to apply high voltage ( 7 kV). The signal on the pads is recorded by HARDROC2 ASICs [9] in a 2-bit format, corresponding to three thresholds related to the amount of induced charge These three thresholds were initially set at 0.114, 5.0 and 15.0 pC. Several pads can be fired when only a charged particle crosses the gas gap. In the SDHCAL prototype, GRPCs are operated in avalanche mode This mode is described in [10] where it is shown that a Polya distribution could be used to simulate the amount of charge, q, deposited in the anode. Where qis the average value of the deposited charge in the anode, δ is related to the width of the distribution and Γ is the Gamma function
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