Improved calorimetric particle identification in NA62 using machine learning techniques

Cortina Gil, E. et al. (2023) Improved calorimetric particle identification in NA62 using machine learning techniques. Journal of High Energy Physics, 2023(11), 138. (doi: 10.1007/JHEP11(2023)138)

Abstract

Measurement of the ultra-rare K+→π+νν¯ decay at the NA62 experiment at CERN requires high-performance particle identification to distinguish muons from pions. Calorimetric identification currently in use, based on a boosted decision tree algorithm, achieves a muon misidentification probability of 1.2 × 10−5 for a pion identification efficiency of 75% in the momentum range of 15–40 GeV/c. In this work, calorimetric identification performance is improved by developing an algorithm based on a convolutional neural network classifier augmented by a filter. Muon misidentification probability is reduced by a factor of six with respect to the current value for a fixed pion-identification efficiency of 75%. Alternatively, pion identification efficiency is improved from 72% to 91% for a fixed muon misidentification probability of 10−5.

• Item Type: Articles
• Keywords: Fixed target experiments, rare decay, branching fraction, flavour physics.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Norton, Dr Alan and Graham, Connor and Angelucci, Dr Bruno and Britton, Professor David and Protopopescu, Dr Dan
• Authors: Cortina Gil, E., Kleimenova, A., Minucci, E., Padolski, S., Petrov, P., Shaikhiev, A., Volpe, R., Fedorko, W., Numao, T., Petrov, Y., Velghe, B., Wong, V. W. S., Yu, M., Bryman, D., Fu, J., Hives, Z., Husek, T., Jerhot, J., Kampf, K., Zamkovsky, M., De Martino, B., Perrin-Terrin, M., Akmete, A. T., Aliberti, R., Khoriauli, G., Kunze, J., Lomidze, D., Peruzzo, L., Vormstein, M., Wanke, R., Dalpiaz, P., Fiorini, M., Mazzolari, A., Neri, I., Norton, A., Petrucci, F., Soldani, M., Wahl, H., Bandiera, L., Cotta Ramusino, A., Gianoli, A., Romagnoni, M., Sytov, A., Iacopini, E., Latino, G., Lenti, M., Lo Chiatto, P., Panichi, I., Parenti, A., Bizzeti, A., Bucci, F., Antonelli, A., Georgiev, G., Kozhuharov, V., Lanfranchi, G., Martellotti, S., Moulson, M., Spadaro, T., Tinti, G., Ambrosino, F., Capussela, T., Corvino, M., D’Errico, M., Di Filippo, D., Fiorenza, R., Giordano, R., Massarotti, P., Mirra, M., Napolitano, M., Rosa, I., Saracino, G., Anzivino, G., Brizioli, F., Imbergamo, E., Lollini, R., Piandani, R., Santoni, C., Barbanera, M., Cenci, P., Checcucci, B., Lubrano, P., Lupi, M., Pepe, M., Piccini, M., Costantini, F., Di Lella, L., Doble, N., Giorgi, M., Giudici, S., Lamanna, G., Lari, E., Pedreschi, E., Sozzi, M., Cerri, C., Fantechi, R., Pontisso, L., Spinella, F., Mannelli, I., D’Agostini, G., Raggi, M., Biagioni, A., Cretaro, P., Frezza, O., Leonardi, E., Lonardo, A., Turisini, M., Valente, P., Vicini, P., Ammendola, R., Bonaiuto, V., Fucci, A., Salamon, A., Sargeni, F., Arcidiacono, R., Bloch-Devaux, B., Boretto, M., Menichetti, E., Migliore, E., Soldi, D., Biino, C., Filippi, A., Marchetto, F., Briano Olvera, A., Engelfried, J., Estrada-Tristan, N., Reyes Santos, M. A., Boboc, P., Bragadireanu, A. M., Ghinescu, S. A., Hutanu, O. E., Bician, L., Blazek, T., Cerny, V., Kucerova, Z., Bernhard, J., Ceccucci, A., Ceoletta, M., Danielsson, H., De Simone, N., Duval, F., Döbrich, B., Federici, L., Gamberini, E., Gatignon, L., Guida, R., Hahn, F., Holzer, E. B., Jenninger, B., Koval, M., Laycock, P., Lehmann Miotto, G., Lichard, P., Mapelli, A., Marchevski, R., Massri, K., Noy, M., Palladino, V., Pinzino, J., Ryjov, V., Schuchmann, S., Venditti, S., Bache, T., Brunetti, M. B., Duk, V., Fascianelli, V., Fry, J. R., Gonnella, F., Goudzovski, E., Henshaw, J., Iacobuzio, L., Kenworthy, C., Lazzeroni, C., Lurkin, N., Newson, F., Parkinson, C., Romano, A., Sanders, J., Sergi, A., Sturgess, A., Swallow, J., Tomczak, A., Heath, H., Page, R., Trilov, S., Angelucci, B., Britton, D., Graham, C., Protopopescu, D., Carmignani, J., Dainton, J. B., Jones, R. W. L., Ruggiero, G., Fulton, L., Hutchcroft, D., Maurice, E., Wrona, B., Conovaloff, A., Cooper, P., Coward, D., Rubin, P., Baeva, A., Baigarashev, D., Emelyanov, D., Enik, T., Falaleev, V., Fedotov, S., Gorshanov, K., Gushchin, E., Kekelidze, V., Kereibay, D., Kholodenko, S., Khotyantsev, A., Korotkova, A., Kudenko, Y., Kurochka, V., Kurshetsov, V., Litov, L., Madigozhin, D., Medvedeva, M., Mefodev, A., Misheva, M., Molokanova, N., Movchan, S., Obraztsov, V., Okhotnikov, A., Ostankov, A., Polenkevich, I., Potrebenikov, Y., Sadovskiy, A., Semenov, V., Shkarovskiy, S., Sugonyaev, V., Yushchenko, O., and Zinchenko, A.
• College/School: College of Science and Engineering > School of Physics and Astronomy
• Journal Name: Journal of High Energy Physics
• Publisher: Springer
• ISSN: 1126-6708
• ISSN (Online): 1029-8479
• Published Online: 21 November 2023
• Copyright Holders: Copyright © 2023 CERN, for the benefit of the NA62 Collaboration
• First Published: First published in Journal of High Energy Physics 2023(11): 138
• Publisher Policy: Reproduced under a Creative Commons License