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Register a new userOptimization study of scintillator shape of electromagnetic calorimeter for Higgs factories
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Scintillator-based calorimeters for experiments at Higgs factories (e.g. ILC) demand scintillator designs that can detect sufficient number of photons and have good light yield uniformity, and that they can be easily mass-produced. In order to meet these requirements, scintillator strips with a small dimple has been proposed. In our study, we measure the light yield of a dimple scintillator sample; we then compare the measurements with light tracing simulation using GEANT4. We intend to use our results to propose an optimized scintillator shape.
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We describe an algorithm which has been developed to extract fine granularity information from an electromagnetic calorimeter with strip-based readout. Such a calorimeter, based on scintillator strips, is being developed to apply particle flow reconstruction to future experiments in high energy physics. Tests of this algorithm in full detector simulations, using strips of size 45 x 5 mm^2 show that the performance is close to that of a calorimeter with true 5 x 5 mm^2 readout granularity. The performance can be further improved by the use of 10 x 10 mm^2 tile- shaped layers interspersed between strip layers.
A first prototype of a scintillator strip-based electromagnetic calorimeter was built, consisting of 26 layers of tungsten absorber plates interleaved with planes of 45x10x3 mm3 plastic scintillator strips. Data were collected using a positron test beam at DESY with momenta between 1 and 6 GeV/c. The prototypes performance is presented in terms of the linearity and resolution of the energy measurement. These results represent an important milestone in the development of highly granular calorimeters using scintillator strip technology. This technology is being developed for a future linear collider experiment, aiming at the precise measurement of jet energies using particle flow techniques.
The Heavy Photon Search experiment (HPS) is searching for a new gauge boson, the so-called heavy photon. Through its kinetic mixing with the Standard Model photon, this particle could decay into an electron-positron pair. It would then be detectable as a narrow peak in the invariant mass spectrum of such pairs, or, depending on its lifetime, by a decay downstream of the production target. The HPS experiment is installed in Hall-B of Jefferson Lab. This article presents the design and performance of one of the two detectors of the experiment, the electromagnetic calorimeter, during the runs performed in 2015-2016. The calorimeters main purpose is to provide a fast trigger and reduce the copious background from electromagnetic processes through matching with a tracking detector. The detector is a homogeneous calorimeter, made of 442 lead-tungstate (PbWO4) scintillating crystals, each read out by an avalanche photodiode coupled to a custom trans-impedance amplifier.
Shashlyk-type electromagnetic calorimeter (ECal) of the Multi-Purpose Detector at heavy-ion NICA collider is optimized to provide precise spatial and energy measurements for photons and electrons in the energy range from about 40 MeV to 2-3 GeV. To deal with high multiplicity of secondary particles from Au-Au reactions, ECal has a fine segmentation and consists of 38,400 cells (towers). Given the big number of towers and the time constraint, it is not possible to calibrate every ECal tower with beam. In this paper, we describe the strategy of the first-order calibration of ECal with cosmic muons.
A highly granular electromagnetic calorimeter with scintillator strip readout is being developed for future lepton collider experiments. A prototype of 21.5 $X_0$ depth and $180 times 180 $mm$^2$ transverse dimensions was constructed, consisting of 2160 individually read out $10 times 45 times 3$ mm$^3$ scintillator strips. This prototype was tested using electrons of 2--32 GeV at the Fermilab Test Beam Facility in 2009. Deviations from linear energy response were less than 1.1%, and the intrinsic energy resolution was determined to be $(12.5 pm 0.1 (mathrm{stat.}) pm0.4 (mathrm{syst.}))%/sqrt{E[mathrm{GeV}]}oplus (1.2 pm 0.1(mathrm{stat.})^{+0.6}_{-0.7}(mathrm{syst.}))%$, where the uncertainties correspond to statistical and systematic sources, respectively.
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