Particle identification using Boosted Decision Trees in the Semi-Digital Hadronic Calorimeter prototype

Boumediene, D.; Pingault, Antoine; Tytgat, M.; Bilki, B.; Northacker, D.; Onel, Y.; Cho, G.; Kim, D.-W.; Lee, S.C.; Park, Woo Sung; Vallecorsa, S.; Deguchi, Yuto; Kawagoe, K.; Miura, Yoshio; Mori, R.; Sekiya, Izumi; Suehara, Taikan; Yoshioka, Tamaki; Caponetto, L.; Combaret, C.; Eté, Rémi; Garillot, Guillaume; Grenier, G.; Ianigro, J. C.; Kurča, T.; Laktineh, Imad Baptiste; Liu, B.; Li, B.; Lumb, N.; Mathez, H.; Steen, A.; Alamillo, Enrique Calvo; Fouz, M. C.; Marín, J.; Navarrete, Jose Javier; Pelayo, J. Puerta; Verdugo, A.; Corriveau, F.; Chadeeva, M.; Danilov, M.; Silva, L.M.S. de; Bonis, J.; Bretón, D.; Cornebise, P.; Gallas, A.; Jeglot, Jimmy; Quiles, A. Irles; Maalmi, Jihane; Pöschl, R.; Thiébault, Alice; Richard, F.; Zerwas, D.; Anduze, Marc; Balagura, V.; Boudry, V.; Brient, J. C.; Edy, Evelyne; Gastaldi, F.; Guillaumat, Rémi; Magniette, Frédéric; Nanni, Jérome; Videau, H.; Callier, S.; Dulucq, F.; Taille, C. de la; Martin-Chassard, Gisèle; Raux, L.; Seguin-Moreau, N.; Cvach, J.; Janata, M.; Kovalcuk, M.; Kvasnička, J; Polák, Ivo; Smolík, J.; Vrba, V.; Zálešâk, J.; Zuklin, J.; Duan, Y.; Li, S.; Guo, J.; Hu, J. F.; Lagarde, F.; Shen, Q.; Wang, X.; Wu, Weihao; Yang, H. J.; Zhu, Y.; Emberger, Lorenz; Graf, Christian; Simon, F.; Winter, C.

doi:10.1088/1748-0221/15/10/p10009

Cited by 3 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It uses the amplitude threshold information that makes a software compensation possible. It can also take advantage of the high granularity by including reconstructed tracks [3] and machine learning techniques [4]. The event reconstructed energy, 𝐸 event , is calculated using the polynomial combination method as follows:…”

Section: Data Reconstructionmentioning

confidence: 99%

“…The longitudinal segmentation is given by 48 GRPC layers interleaved with absorbers, reaching a 1.3 m length and 6 interaction lengths (𝜆 I ). For each layer, the transverse -1 - segmentation is governed by the 96 × 96 charge collection pads of 1 cm 2 each, fine enough to allow track reconstructions [3] and particle identification using machine-learning techniques [4]. The readout pads are isolated from the anode glass by a 50 µm Mylar foil.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Description and stability of a RPC-based calorimeter in electromagnetic and hadronic shower environments

Apostolakis

Folger²,

Ribon³

et al. 2023

J. Inst.

Self Cite

View full text Add to dashboard Cite

The CALICE Semi-Digital Hadron Calorimeter technological prototype completed in 2011 is a sampling calorimeter using Glass Resistive Plate Chamber (GRPC) detectors as the active medium. This technology is one of the two options proposed for the hadron calorimeter of the International Large Detector for the International Linear Collider. The prototype was exposed in 2015 to beams of muons, electrons, and pions of different energies at the CERN Super Proton Synchrotron. The use of this technology for future experiments requires a reliable simulation of its response that can predict its performance. GEANT4 combined with a digitization algorithm was used to simulate the prototype. It describes the full path of the signal: showering, gas avalanches, charge induction, and hit triggering. The simulation was tuned using muon tracks and electromagnetic showers for accounting for detector inhomogeneity and tested on hadronic showers collected in the test beam. This publication describes developments of the digitization algorithm. It is used to predict the stability of the detector performance against various changes in the data-taking conditions, including temperature, pressure, magnetic field, GRPC width variations, and gas mixture variations. These predictions are confronted with test beam data and provide an attempt to explain the detector properties. The data-taking conditions such as temperature and potential detector inhomogeneities affect energy density measurements but have small impact on detector efficiency.

show abstract

Section: Data Reconstructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Description and stability of a RPC-based calorimeter in electromagnetic and hadronic shower environments

Apostolakis

Folger²,

Ribon³

et al. 2023

J. Inst.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Exploring hadronic showers with highly granular calorimeters Vladimir Bocharnikov essential for physics analysis and performance of PFA algorithms in a collider detector scenario. Discriminating variables based on event topologies of showering charged pions, electrons and muons obtained from simulations and test beam data are used to train Boosted Decision Tree (BDT) classification models [9]. The method shows excellent signal efficiency and background rejection rate which is demonstrated with an example of pion signal efficiency versus electron rejection rate shown on the left part of Fig.…”

Section: Pos(eps-hep2021)845mentioning

confidence: 99%

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

Bocharnikov¹

2022

Proceedings of the European Physical Society Conference on High Energy Physics — PoS(EPS-HEP2021)

View full text Add to dashboard Cite

Prototypes of electromagnetic and hadronic imaging calorimeters developed and operated by the CALICE collaboration provide an unprecedented wealth of highly granular data of hadronic showers with a variety of active sensor elements and different absorber materials. In this article, we discuss detailed measurements of the spatial and the time structure of hadronic showers to characterise the different stages of hadronic cascades in the calorimeters and perform particle identification techniques. The high granularity of the detectors is exploited in the reconstruction of hadronic energy, both in individual detectors and combined electromagnetic and hadronic systems, making use of software compensation and semi-digital energy reconstruction algorithms. The results on hadronic shower measurements are obtained using different electromagnetic and hadronic calorimeters, with silicon, scintillator and gaseous active elements, and confronted with GEANT4-based simulations using different hadronic physics models.

show abstract

“…Inspired by refs. [10,11], we propose to use the BDT technique to reject the electron background of our pion samples in an improved way with respect to the one used in a previous analysis applied to data collected by SDHCAL iat the SPS beamline [12] in the energy range between 10 and 80 GeV.…”

Section: Pion Events Selectionmentioning

confidence: 99%

Energy reconstruction of hadronic showers at the CERN PS and SPS using the Semi-Digital Hadronic Calorimeter

et al. 2022

Self Cite

View full text Add to dashboard Cite

The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) is the first technological prototype in a family of high-granularity calorimeters developed by the CALICE Collaboration to equip the experiments of future lepton colliders. The SDHCAL is a sampling calorimeter using stainless steel for absorber and Glass Resistive Plate Chambers (GRPC) as a sensitive medium. The GRPC are read out by 1 cm× 1 cm pickup pads combined to a multi-electronics. The prototype was exposed to hadron beams in both the CERN PS and the SPS beamlines in 2015 allowing the test of the SDHCAL in a large energy range from 3 GeV to 80 GeV. After introducing the method used to select the hadrons of our data and reject the muon and electron contamination, we present the energy reconstruction approach that we apply to the data collected from both beamlines and we discuss the response linearity and the energy resolution of the SDHCAL. The results obtained in the two beamlines confirm the excellent SDHCAL performance observed with the data collected with the same prototype in the SPS beamline in 2012. They also show the stability of the SDHCAL in different beam conditions and different time periods.

show abstract

Particle identification using Boosted Decision Trees in the Semi-Digital Hadronic Calorimeter prototype

Cited by 3 publications

References 12 publications

Description and stability of a RPC-based calorimeter in electromagnetic and hadronic shower environments

Description and stability of a RPC-based calorimeter in electromagnetic and hadronic shower environments

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

Energy reconstruction of hadronic showers at the CERN PS and SPS using the Semi-Digital Hadronic Calorimeter

Contact Info

Product

Resources

About