دورية أكاديمية
Unbinned deep learning jet substructure measurement in high Q² ep collisions at HERA
| العنوان: | Unbinned deep learning jet substructure measurement in high Q² ep collisions at HERA |
|---|---|
| المؤلفون: | Andreev, V., Arratia, M., Baghdasaryan, A., Baty, A., Begzsuren, K., Bolz, A., Boudry, V., Brandt, G., Britzger, D., Buniatyan, A., Bystritskaya, L., Campbell, A. J., Avila, K. B. Cantun, Cerny, K., Chekelian, V., Chen, Z., Contreras, J. G., Cvach, J., Dainton, J. B., Daum, K., Deshpande, A., Diaconu, C., Drees, A., Eckerlin, G., Egli, S., Elsen, E., Favart, L., Fedotov, A., Feltesse, J., Fleischer, M., Fomenko, A., Gal, C., Gayler, J., Goerlich, L., Gogitidze, N., Gouzevitch, M., Grab, C., Greenshaw, T., Grindhammer, G., Haidt, D., Henderson, R. C. W., Hessler, J., Hladky, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P. M., Jacquet, M., Janssen, Tahys, Jung, A. W., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H. T., Kogler, R., Kostka, P., Kretzschmar, J., Krucker, D., Kruger, K., Landon, M. P. J., Lange, W., Laycock, P., Lee, S. H., Levonian, S., Li, W., Lin, J., Lipka, K., List, B., List, J., Lobodzinski, B., Long, O. R., Malinovski, E., Martyn, H. -U., Maxfield, S. J., Mehta, A., Meyer, A. B., Meyer, J., Mikocki, S., Mikuni, V. M., Mondal, M. M., Mueller, K., Nachman, B., Naumann, Th., Newman, P. R., Niebuhr, C., Nowak, G., Olsson, J. E., Ozerov, D., Park, S., Pascaud, C., Patel, G. D., Perez, E., Petrukhin, A., Picuric, I., Pitzl, D., Polifka, R., Preins, S., Radescu, V., Raicevic, N., Ravdandorj, T., Reimer, P., Rizvi, E., Robmann, P., Roosen, R., Rostovtsev, A., Rotaru, M., Sankey, D. P. C., Sauter, M., Sauvan, E., Schmitt, S., Schmookler, B. A., Schnell, G., Schoeffel, L., Schoning, A., Sefkow, F., Shushkevich, S., Soloviev, Y., Sopicki, P., South, D., Specka, A., Steder, M., Stella, B., Straumann, U., Sun, C., Sykora, T., Thompson, P. D., Acosta, F. Torales, Traynor, D., Tseepeldorj, B., Tu, Z., Tustin, G., Valkarova, A., Vallee, C., Van Mechelen, Pierre, Wegener, D., Wunsch, E., Zacek, J., Zhang, J., Zhang, Z., Zlebcik, R., Zohrabyan, H., Zomer, F. |
| المصدر: | 0370-2693 ; Physics letters : B |
| سنة النشر: | 2023 |
| المجموعة: | IRUA - Institutional Repository van de Universiteit Antwerpen |
| مصطلحات موضوعية: | Physics |
| الوصف: | The radiation pattern within high energy quark- and gluon-initiated jets (jet substructure) is used extensively as a precision probe of the strong force as well as an environment for optimizing event generators with numerous applications in high energy particle and nuclear physics. Looking at electronproton collisions is of particular interest as many of the complications present at hadron colliders are absent. Adetailed study of modern jet substructure observables, jet angularities, in electron-proton collisions is presented using data recorded using the H1 detector at HERA. The measurement is unbinned and multi-dimensional, using machine learning to correct for detector effects. All of the available reconstructed object information of the respective jets is interpreted by a graph neural network, achieving superior precision on a selected set of jet angularities. Training these networks was enabled by the use of a large number of GPUs in the Perlmutter supercomputer at Berkeley Lab. The particle jets are reconstructed in the laboratory frame, using the kTjet clustering algorithm. Results are reported at high transverse momentum transfer Q(2)> 150GeV(2), and inelasticity 0.2 < y < 0.7. The analysis is also performed in sub-regions of Q(2), thus probing scale dependencies of the substructure variables. The data are compared with a variety of predictions and point towards possible improvements of such models. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0Test/). Funded by SCOAP3. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/isi/001068892700001 |
| الإتاحة: | https://doi.org/10.1016/J.PHYSLETB.2023.138101Test https://hdl.handle.net/10067/2004340151162165141Test https://repository.uantwerpen.be/docstore/d:irua:20282Test |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.3EAE7F15 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |