粒子在半数字辐射量热计原型中使用增强决策树的鉴定

论文标题

粒子在半数字辐射量热计原型中使用增强决策树的鉴定

Particle Identification Using Boosted Decision Trees in the Semi-Digital Hadronic Calorimeter Prototype

论文作者

Boumediene, D., Pingault, A., Tytgat, M., Bilki, B., Northacker, D., Onel, Y., Cho, G., Kim, D-W., Lee, S. C., Park, W., Vallecorsa, S., Deguchi, Y., Kawagoe, K., Miura, Y., Mori, R., Sekiya, I., Suehara, T., Yoshioka, T., Caponetto, L., Combaret, C., Garillot, R. Ete G., Grenier, G., Ianigro, J-C., Kurca, T., Laktineh, I., Liu, B., Li, B., Lumb, N., Mathez, H., Mirabito, L., Steen, A., Alamillo, E. Calvo, Fouz, M. C., Marin, J., Navarrete, J., Pelayo, J. Puerta, Verdugo, A., Corriveau, F., Freund, B., Chadeeva, M., Danilov, M., Emberger, L., Graf, C., Simon, F., Winter, C., Bonis, J., Breton, D., Cornebise, P., Gallas, A., Jeglot, J., Irles, A., Maalmi, J., Pöschl, R., Thiebault, A., Richard, F., Zerwas, D., Anduze, M., Balagura, V., Boudry, V., Brient, J-C., Edy, E., Gastaldi, F., Guillaumat, R., Magniette, F., Nanni, J., Callier, H. Videau S., Dulucq, F., de la Taille, Ch., Martin-Chassard, G., Raux, L., Seguin-Moreau, N., Cvach, J., Janata, M., Kovalcuk, M., Kvasnicka, J., Polak, I., Smolik, J., Vrba, V., Zalesak, J., Zuklin, J., Duan, Y. Y., Li, S., Guo, J., Hu, J. F., Lagarde, F., Shen, Q. P., Wang, X., Wu, W. H., Yang, H. J., Zhu, Y. F.

论文摘要

使用玻璃电阻板室作为敏感培养基的Calice半数字辐射量激量计（SDHCAL）原型是由Calice Collaptration开发的高颗粒性热量计家族的第一个技术原型，以配备未来Leptonic Colliders的实验。 It was exposed to beams of hadrons, electrons and muons several times in the CERN PS and SPS beamlines between 2012 and 2018. We present here a new method of particle identification within the SDHCAL using the Boosted Decision Trees (BDT) method applied to the data collected in 2015. The performance of the method is tested first with Geant4-based simulated events and then on the data collected by the SDHCAL in the energy range between 10 and 80〜GEV，具有10〜GEV能量步骤。然后，BDT方法用于拒绝污染SPS强子梁的电子和兆子。

The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using Glass Resistive Plate Chambers as a sensitive medium is the first technological prototype of a family of high-granularity calorimeters developed by the CALICE collaboration to equip the experiments of future leptonic colliders. It was exposed to beams of hadrons, electrons and muons several times in the CERN PS and SPS beamlines between 2012 and 2018. We present here a new method of particle identification within the SDHCAL using the Boosted Decision Trees (BDT) method applied to the data collected in 2015. The performance of the method is tested first with Geant4-based simulated events and then on the data collected by the SDHCAL in the energy range between 10 and 80~GeV with 10~GeV energy steps. The BDT method is then used to reject the electrons and muons that contaminate the SPS hadron beams.

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