Abstract
A silicon-tungsten (Si-W) sampling calorimeter, consisting of 19 alternate layers of silicon pad detectors (individual pad area of 1 cm2) and tungsten absorbers (each of one radiation length), has been constructed for measurement of electromagnetic showers over a large energy range. The signal from each of the silicon pads is readout using an ASIC with a dynamic range from −300 fC to +500 fC. Another ASIC with a larger dynamic range, ± 600 fC has been used as a test study. The calorimeter was exposed to pion and electron beams at the CERN Super Proton Synchrotron (SPS) to characterise the response to minimum ionising particles (MIP) and showers from electromagnetic (EM) interactions. Pion beams of 120 GeV provided baseline measurements towards the understanding of the MIP behaviour in the silicon pad layers, while electron beams of energy from 5 GeV to 60 GeV rendered detailed shower profiles within the calorimeter. The energy deposition in each layer, the longitudinal shower profile, and the total energy deposition have been measured for each incident electron energy. Linear behaviour of the total measured energy (E) with that of the incident particle energy (E0) ensured satisfactory calorimetric performance. For a subset of the data sample, selected based on the cluster position of the electromagnetic shower of the incident electron, the dependence of the measured energy resolution on E0 has been found to be σ/E = (15.36/√E0(GeV) ⊕ 2.0) %.
Highlights
Energy deposition in different layersThe distributions of the layer response for the 7th layer are presented in figure 7 for incident electrons of six different energies, E0 = 5, 20, 30, 40, 50 and 60 GeV
The silicon pads are of 1 cm2 area and 300 μm in thickness
The results presented in this report are based on data taken with MANAS as readout ASIC
Summary
The distributions of the layer response for the 7th layer are presented in figure 7 for incident electrons of six different energies, E0 = 5, 20, 30, 40, 50 and 60 GeV. The ordinate is expressed in terms of probability, where the counts are normalised to the number of events. These measured response spectra have approximate Gaussian shapes, so mean values are extracted using Gaussian fits. The results of these fits are analysed below to obtain the longitudinal shower profile. Similar fits are performed to the sum of the signals to obtain the total response and the energy resolution of the prototype calorimeter
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