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    Analysis of testbeam data of the highly granular RPC-steel CALICE digital hadron calorimeter and validation of GEANT4 Monte Carlo models
    (Elsevier Science Bv, 2019) Chefdeville, M.; Repond, J.; Schlereth, J.; Smith, J. R.; Trojand, D.; Xia, L.; Zhang, Q.
    We present a study of the response of the highly granular Digital Hadronic Calorimeter with steel absorbers, the Fe-DHCAL, to positrons, muons, and pions with momenta ranging from 2 to 60 GeV/c. Developed in the context of the CALICE collaboration, this hadron calorimeter utilises Resistive Plate Chambers as active media, interspersed with steel absorber plates. With a transverse granularity of 1 x 1 cm(2) and a longitudinal segmentation of 38 layers, the calorimeter counted 350,208 readout channels, each read out with single-bit resolution (digital readout). The data were recorded in the Fermilab test beam in 2010-11. The analysis includes measurements of the calorimeter response and the energy resolution to positrons and muons, as well as detailed studies of various shower shape quantities. The results are compared to simulations based on GEANT4, which utilise different electromagnetic and hadronic physics lists.
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    Construction and response of a highly granular scintillator-based electromagnetic calorimeter
    (Elsevier, 2018) Repond, J.; Xia, L.; Eigen, G.; Price, T.; Watson, N. K.; Winter, A.; Thomson, M. A.
    A highly granular electromagnetic calorimeter with scintillator strip readout is being developed for future linear collider experiments. A prototype of 21.5 X-0 depth and 180 x 180 mm(2) transverse dimensions was constructed, consisting of 2160 individually read out 10 x 45 x 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 +/- 0.1(stat.)+/- 0.4(syst.))%/root E[GeV]circle plus (1.2 +/- 0.1(stat.)(-0.7)(+0.6)(syst.))%, where the uncertainties correspond to statistical and systematic sources, respectively. (C) 2018 Elsevier B.V. All rights reserved.