Shower development of particles with momenta from 15 GeV to 150 GeV in the CALICE scintillator-tungsten hadronic calorimeter

Chefdeville, M.; Karyotakis, Y.; Repond, J.; Schlereth, J. L.; Xia, L.; Eigen, G.; Marshall, J.; Thomson, M. A.; Ward, D. R.; Tehrani, Niloufar Alipour; Apostolakis, J.; Dannheim, D.; Elsener, K.; Folger, G.; Grefe, C.; Ivantchenko, Vladimir; Killenberg, M.; Klempt, W.; Kraaij, E. van der; Linssen, L.; Lucaci-Timoce, A.-I.; Münnich, A.; Poss, S.; Ribon, A.; Roloff, P.; Sailer, A.; Schlatter, D.; Sicking, E.; Strube, J.; Uzhinskiy, V.; Chang, S.; Khan, A.; Kim, D. H.; Kong, D. J.; Oh, Y. D.; Blazey, G.; Dyshkant, A.; Francis, K.; Zutshi, V.; Giraud, J.; Grondin, D.; Hostachy, J-Y.; Brianne, Eldwan; Cornett, U.; David, D.; Falley, G.; Gadow, Karsten; Göttlicher, P.; Günter, C.; Hartbrich, O.; Hermberg, B.; Quiles, A. Irles; Karstensen, S.; Kriváň, F.; Krüger, K.; Kvasnička, J; Lu, Shaojun; Lutz, B.; Morozov, S. V.; Morgunov, V.; Neubüser, C.; Provenza, Ambra; Reinecke, Mathias; Sefkow, F.; Smirnov, P.; Terwort, M.; Tran, H. L.; Vargas-Trevino, A.; Garutti, E.; Laurien, S.; Matysek, M.; Ramilli, Marco; Schröder, S.; Briggl, Konrad; Eckert, P.; Harion, Tobias; Munwes, Y.; Schultz‐Coulon, H.‐C.; Shen, Wei; Stamen, R.; Bilki, B.; Onel, Y.; Kawagoe, K.; Hirai, H.; Sudo, Y.; Suehara, Taikan; Sumida, Hiroki; Takada, Shusuke; Tomita, Takahiro; Yoshioka, Tamaki; Wing, M.; Alamillo, Enrique Calvo; Fouz, M. C.; Marín, J.; Pelayo, J. Puerta; Verdugo, A.; Bobchenko, B.; Chadeeva, M.; Danilov, M.; Markin, O.; Mizuk, R.; Novikov, E.; Rusinov, V.; Tarkovsky, E.; Kirikova, N.; Kozlov, V.; Soloviev, Y.; Besson, D.; Buzhan, P.; Popova, E.; Gabriel, M.; Kiesling, C.; Kolk, N. van der; Seidel, K.; Simon, F.; Soldner, C.; Szalay, Marco; Tesar, M.; Weuste, L.; Amjad, Mohammad Sohail; Bonis, J.; Cornebise, P.; Richard, F.; Pöschl, R.; Rouëné, J.; Thiébault, Alice; Anduze, Marc; Balagura, V.; Boudry, V.; Brient, J. C.; Cizel, J. B.; Cornat, R.; Frotin, M.; Gastaldi, F.; Haddad, Y.; Magniette, Frédéric; Nanni, Jérome; Pavy, S.; Rubio‐Roy, Miguel; Shpak, K.; Tran, T. H.; Videau, H.; Yu, D.; Callier, S.; Lorenzo, Selma Conforti Di; Dulucq, F.; Fleury, J.; Martin-Chassard, Gisèle; Taille, C. De La; Raux, L.; Seguin-Moreau, N.; Cvach, J.; Gallus, P.; Havránek, M.; Janata, M.; Kovalcuk, M.; Lednický, D.; Marčišovský, M.; Polák, Ivo; Popule, J.; Tomášek, L.; Tomášek, M.; Růžička, P.; Šı́cho, P.; Smolík, J.; Vrba, V.; Zálešâk, J.; Ieki, S.; Kamiya, Yoshio; Ootani, Wataru; Shibata, Naoya; Chen, S.; Jeans, D.; Komamiya, S.; Kozakai, C.; Nakanishi, Hiroyuki; Götze, M.; Sauer, J.R.; Weber, Sebastian Mario; Zeitnitz, C.

doi:10.1088/1748-0221/10/12/p12006

Cited by 14 publications

(18 citation statements)

References 15 publications

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“…A single layer is made of a cassette structure that has 2-mm steel plates at the front and back with 5-mm scintillator and 5-mm PCB layers in between. The calorimeter is an alternating structure of 10.5-mm tungsten absorbers and the cassettes, and is geometrically similar to the CALICE AHCAL [10]. The scintillator layer is segmented into 1 cm × 1 cm cells with no dead areas.…”

Section: Methodsmentioning

confidence: 99%

Identification of the hadronic interaction layer in a highly granular calorimeter by multivariate techniques

Bilki¹

2017

Turk J Phys

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Calorimetry in future and upgrade collider detectors has a clear overall trend towards high granularity, both laterally and longitudinally. This trend is a requirement for the full exploitation of particle flow algorithms, which reconstruct individual particles using the subdetector that provides the best resolution for this specific particle. The increased level of detail in the event topologies due to higher segmentation of the calorimeter provides additional handles for several calorimetric measurements, such as the identification of the hadronic interaction layer, which is not possible for calorimeters with traditional tower geometry. Here, the power of using multivariate statistical techniques in the identification of the hadronic interaction layer in a highly segmented calorimeter is investigated.

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Section: Methodsmentioning

confidence: 99%

Identification of the hadronic interaction layer in a highly granular calorimeter by multivariate techniques

Bilki¹

2017

Turk J Phys

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“…Finally, some cells may remain non associated to any type-1 or type-2 clusters. To extract further information from them, we search for the 3×3 ×3 cube of 27 cells in x,y,z which captures the highest total energy among cells still not included in clusters (V [25]), and the second-highest total energy (V [15]). These two features are listed infra.…”

Section: Clustering Of Calorimeter Cellsmentioning

confidence: 99%

“…V [14] V [15] V [16] V [17] V [18] V [19] V [20] V [21] V [22] V [23] V [24] V [25] V [26] V [27] from which we get…”

Section: Measuring Curvature With Energy Depositsmentioning

confidence: 99%

“…to distinguish electromagnetic showers from hadronic showers by comparing the depth profile of the energy deposits [15,22]. Recently, in the context of proposals for calorimeters endowed with fine grained lateral and longitudinal segmentation, it has been shown that this granularity not only improves the identification purity, but also allows for an accurate determination of the energy of hadronic showers, by identifying individual patterns of their electromagnetic and hadronic sub-components [23][24][25][26][27][28]. In parallel, machine learning techniques have proven to be very powerful for reconstructing individual showers [27,29,30] as well as multiple, even overlapping showers while at the same time being adaptable to the particularities of the involved detector geometries [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

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Calorimetric Measurement of Multi-TeV Muons via Deep Regression

et al. 2022

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The performance demands of future particle-physics experiments investigating the high-energy frontier pose a number of new challenges, forcing us to find improved solutions for the detection, identification, and measurement of final-state particles in subnuclear collisions. One such challenge is the precise measurement of muon momentum at very high energy, where an estimate of the curvature provided by conceivable magnetic fields in realistic detectors proves insufficient for achieving good momentum resolution when detecting, e.g., a narrow, high mass resonance decaying to a muon pair. In this work we study the feasibility of an entirely new avenue for the measurement of the energy of muons based on their radiative losses in a dense, finely segmented calorimeter. This is made possible by exploiting spatial information of the clusters of energy from radiated photons in a regression task. The use of a task-specific deep learning architecture based on convolutional layers allows us to treat the problem as one akin to image reconstruction, where images are constituted by the pattern of energy released in successive layers of the calorimeter. A measurement of muon energy with better than 20% relative resolution is shown to be achievable for ultra-TeV muons.

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“…A cubic-metre sized "physics prototype" [4], which has been extensively tested in particle beams at DESY, CERN and Fermilab, has demonstrated the capabilities of this technology, achieving competitive single hadron energy resolution [5] and the two-particle separation required for good PFA performance [6]. The prototype was also successfully tested with tungsten absorbers [7,8]. An overview of the results can be found in [9].…”

Section: Introductionmentioning

confidence: 99%

A highly granular SiPM-on-tile calorimeter prototype

Sefkow

Simon

2019

J. Phys.: Conf. Ser.

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The Analogue Hadron Calorimeter (AHCAL) developed by the CALICE collaboration is a scalable engineering prototype for a Linear Collider detector. It is a sampling calorimeter of steel absorber plates and plastic scintillator tiles read out by silicon photomultipliers (SiPMs) as active material (SiPM-on-tile). The front-end chips are integrated into the active layers of the calorimeter and are designed for minimizing power consumption by rapidly cycling the power according to the beam structure of a linear accelerator. 38 layers of the sampling structure are equipped with cassettes containing 576 single channels each, arranged on readout boards and grouped according to the 36 channel readout chips. The prototype has been assembled using techniques suitable for mass production, such as injection-moulding and semi-automatic wrapping of scintillator tiles, assembly of scintillators on electronics using pickand-place machines and mass testing of detector elements. The calorimeter was commissioned at DESY and was taking data at the CERN SPS at the time of the conference. The contribution discusses the construction, commissioning and first test beam results of the CALICE AHCAL engineering prototype.

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Shower development of particles with momenta from 15 GeV to 150 GeV in the CALICE scintillator-tungsten hadronic calorimeter

Cited by 14 publications

References 15 publications

Identification of the hadronic interaction layer in a highly granular calorimeter by multivariate techniques

Identification of the hadronic interaction layer in a highly granular calorimeter by multivariate techniques

Calorimetric Measurement of Multi-TeV Muons via Deep Regression

A highly granular SiPM-on-tile calorimeter prototype

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