Pion and proton showers in the CALICE scintillator-steel analogue hadron calorimeter

Bilki, B.; Repond, J.; Xia, L.; Eigen, G.; Thomson, M. A.; Ward, D. R.; Benchekroun, D.; Hoummada, A.; Khoulaki, Y.; Chang, S.; Khan, Arshad; Kim, D. H.; Kong, D. J.; Oh, Y. D.; Blazey, G.; Dyshkant, A.; Francis, K.; Lima, J. G. Rocha de; Salcido, R.; Zutshi, V.; Salvatore, F.; Kawagoe, K.; Miyazaki, Y.; Sudo, Y.; Suehara, Taikan; Tomita, Takahiro; Ueno, H.; Yoshioka, Tamaki; Apostolakis, J.; Dannheim, D.; Folger, G.; Ivantchenko, Vladimir; Klempt, W.; Lucaci-Timoce, A.-I.; Ribon, A.; Schlatter, D.; Sicking, E.; Uzhinskiy, V.; Giraud, J.; Grondin, D.; Hostachy, J-Y.; Morin, Laurent; Brianne, Eldwan; Cornett, U.; David, D.; Ebrahimi, A.; Falley, G.; Gadow, Karsten; Göttlicher, P.; Günter, C.; Hartbrich, O.; Hermberg, B.; Karstensen, S.; Kriváň, F.; Krüger, K.; Lu, Shaojun; Lutz, B.; Morozov, S. V.; Morgunov, V.; Neubüser, C.; Reinecke, Mathias; Sefkow, F.; Smirnov, P.; Tran, H. L.; Buhmann, P.; Garutti, E.; Laurien, S.; Matysek, M.; Ramilli, Marco; Briggl, Konrad; Eckert, P.; Harion, Tobias; Munwes, Y.; Schultz‐Coulon, H.‐C.; Shen, Wei; Stamen, R.; Norbeck, E.; Northacker, D.; Onel, Y.; Doren, Brian van; Wilson, G. W.; Wing, M.; Combaret, C.; Caponetto, L.; Eté, Rémi; Grenier, G.; Han, Ran; Ianigro, J. C.; Kieffer, R.; Laktineh, Imad Baptiste; Lumb, N.; Mathez, H.; Mirabito, L.; Petrukhin, A.; Steen, A.; Antequera, J. Berenguer; Alamillo, Enrique Calvo; Fouz, M. C.; Marín, J.; Pelayo, J. Puerta; Verdugo, A.; Corriveau, F.; Bobchenko, B.; Chistov, R.; Chadeeva, M.; Danilov, M.; Drutskoy, A.; Epifantsev, A.; Markin, O.; Mironov, Dima; Mizuk, R.; Novikov, E.; Rusinov, V.; Tarkovsky, E.; Besson, D.; Buzhan, P.; Ilyin, A.; Popova, E.; Gabriel, M.; Kiesling, C.; Kolk, N. van der; Simon, F.; Soldner, C.; Szalay, Marco; Tesar, M.; Weuste, L.; Amjad, Mohammad Sohail; Bonis, J.; Callier, S.; Lorenzo, Selma Conforti Di; Cornebise, P.; Dulucq, F.; Fleury, J.; Frisson, T.; Martin-Chassard, Gisèle; Pöschl, R.; Raux, L.; Richard, F.; Rouëné, J.; Seguin-Moreau, N.; Taille, C. De La; Anduze, Marc; Boudry, V.; Brient, J. C.; Clerc, C.; Cornat, R.; Frotin, M.; Gastaldi, F.; Matthieu, A.; Freitas, P. Mora de; Musat, G.; Ruan, Manqi; Videau, H.; Žáček, J.; Cvach, J.; Gallus, P.; Havránek, M.; Janata, M.; Kvasnička, J; Lednický, D.; Marčišovský, M.; Polák, Ivo; Popule, J.; Tomášek, L.; Tomášek, M.; Šı́cho, P.; Smolík, J.; Vrba, V.; Zálešâk, J.; Jeans, D.; Weber, Sebastian Mario

doi:10.1088/1748-0221/10/04/p04014

Cited by 14 publications

(25 citation statements)

References 21 publications

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“…The CALICE collaboration has observed good agreement between test beam data of its physics prototype and simulated hadronic showers with respect to the hit energy distributions and shower shapes [15]. It was shown by the CALICE T3B Experiment that the time distribution of hadronic showers, as simulated by GEANT4 with the physics list used in the present study, is in good agreement with the simulations using a steel absorber [16].…”

Section: Detector Geometry and Simulated Datasupporting

confidence: 75%

Time-assisted energy reconstruction in a highly-granular hadronic calorimeter

Graf,

Simon

2022

Preprint

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The software compensation algorithms developed for the CALICE Analog Hadron Calorimeter are extended to incorporate time information on the cell level, and the performance is studied in GEANT4 simulations with a detector model of a highly-granular SiPM-on-tile calorimeter. The addition of ns-level time resolution is found to result in significant improvement of the energy resolution for local software compensation, with further improvement possible with better resolution. The high correlation of energy density and time variables show that both provide sensitivity to correlated underlying shower features, which limits the potential of timing information when used as a global rather than a local variable.

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Section: Detector Geometry and Simulated Datasupporting

confidence: 75%

Time-assisted energy reconstruction in a highly-granular hadronic calorimeter

Graf,

Simon

2022

Preprint

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“…The number of residual background events is estimated by fitting simulated background templates to the data. In order to take into account the uncertainty of the Geant4 prediction of the fraction of protons mimicking electromagnetic showers, we assume a 20% uncertainty on the number of background events after the selection cut [30][31][32]. Due to the small residual background contamination, this uncertainty leads to a change in the number of signal events of less than 2% up to 1 TeV, increasing to 7% at 2 TeV.…”

Section: Systematic Uncertaintiesmentioning

confidence: 99%

Cosmic-ray electron+positron spectrum from 7 GeV to 2 TeV with the Fermi Large Area Telescope

Abdollahi,

Ackermann,

Ajello

et al. 2017

Preprint

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We present a measurement of the cosmic-ray electron+positron spectrum between 7 GeV and 2 TeV performed with almost seven years of data collected with the Fermi Large Area Telescope. We find that the spectrum is well fit by a broken power law with a break energy at about 50 GeV. Above 50 GeV, the spectrum is well described by a single power law with a spectral index of 3.07 ± 0.02 (stat+syst) ± 0.04 (energy measurement). An exponential cutoff lower than 1.8 TeV is excluded at 95% CL.

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“…The hadronic interaction lengths for π, λ π , and for p, λ p , have been extracted from the longitudinal shower development for energies of the primary particle between 10 GeV and 80 GeV in the AHCAL [7]. For π showers the data are reproduced by the simulation using GEANT4 Version 9.6p01.…”

Section: Global Shower Analysismentioning

confidence: 99%

Exploring the structure of hadronic showers and hadronic energy reconstruction with highly granular calorimeters

Kawagoe¹,

Poeschl²

2019

Proceedings of XXIX International Symposium on Lepton Photon Interactions at High Energies — PoS(LeptonPhoton2019)

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The CALICE Collaboration pioneers past and present developments of highly granular calorimeters. The prototypes provide unprecedented 3D images of hadronic showers with up to 500000 cells. This article presents highlights of the physics results of the CALICE research programme in terms of energy reconstruction of hadronic showers via software compensation and the analysis of fine details of hadronic showers that are uniquely accessible because of the high granularity. The high granularity in combination with different absorber and sensitive materials lead to a deep understanding of hadronic showers. This is valuable input to the improvement of simulation models of hadronic showers e.g. as implemented in the simulation toolkit GEANT4. The data were recorded with the different prototypes since 2005 at the beam test facilities of CERN and FNAL.

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Pion and proton showers in the CALICE scintillator-steel analogue hadron calorimeter

Cited by 14 publications

References 21 publications

Time-assisted energy reconstruction in a highly-granular hadronic calorimeter

Time-assisted energy reconstruction in a highly-granular hadronic calorimeter

Cosmic-ray electron+positron spectrum from 7 GeV to 2 TeV with the Fermi Large Area Telescope

Exploring the structure of hadronic showers and hadronic energy reconstruction with highly granular calorimeters

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