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11 results on '"Acosta, F. Torales"'

1. Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA

Author

The H1 collaboration, 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., Hladký, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P. M., Jacquet, M., Janssen, T., Jung, A. W., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H. T., Kogler, R., Kostka, P., Kretzschmar, J., Krücker, D., Krüger, 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., Müller, 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., Radescu, V., Raicevic, N., Ravdandorj, T., Reichelt, D., 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., Schöning, 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., Valkárová, A., Vallée, C., Van Mechelen, P., Wegener, D., Wünsch, E., Žáček, J., Zhang, J., Zhang, Z., Žlebčík, R., Zohrabyan, H., and Zomer, F.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Experiment
Abstract

In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse momentum of the lepton-jet system, $\lvert \vec{P}_\perp \rvert $, is much larger than the total transverse momentum of the system, $\lvert \vec{q}_\perp \rvert$, the asymmetry between parallel and antiparallel configurations, $\vec{P}_\perp$ and $\vec{q}_\perp$, is expected to be generated by initial and final state soft gluon radiation and can be predicted using perturbation theory. Quantifying the angular properties of the asymmetry therefore provides an additional test of the strong force. Studying the asymmetry is important for future measurements of intrinsic asymmetries generated by the proton's constituents through Transverse Momentum Dependent (TMD) Parton Distribution Functions (PDFs), where this asymmetry constitutes a dominant background. Moments of the azimuthal asymmetries are measured using a machine learning method for unfolding that does not require binning., Comment: 15 pages, 4 figures, 2 tables

Published
2024

2. Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Author

Allaire, C, Ammendola, R, Aschenauer, E-C, Balandat, M, Battaglieri, M, Bernauer, J, Bondì, M, Branson, N, Britton, T, Butter, A, Chahrour, I, Chatagnon, P, Cisbani, E, Cline, EW, Dash, S, Dean, C, Deconinck, W, Deshpande, A, Diefenthaler, M, Ent, R, Fanelli, C, Finger, M, Fol, E, Furletov, S, Gao, Y, Giroux, J, Waduge, NC Gunawardhana, Hassan, O, Hegde, PL, Hernández-Pinto, RJ, Blin, A Hiller, Horn, T, Huang, J, Jalotra, A, Jayakodige, D, Joo, B, Junaid, M, Kalantarians, N, Karande, P, Kriesten, B, Elayavalli, R Kunnawalkam, Li, Y, Lin, M, Liu, F, Liuti, S, Matousek, G, McEneaney, M, McSpadden, D, Menzo, T, Miceli, T, Mikuni, V, Montgomery, R, Nachman, B, Nair, RR, Niestroy, J, Oregon, SA Ochoa, Oleniacz, J, Osborn, JD, Paudel, C, Pecar, C, Peng, C, Perdue, GN, Phelps, W, Purschke, ML, Rajendran, H, Rajput, K, Ren, Y, Renteria-Estrada, DF, Richford, D, Roy, BJ, Roy, D, Saini, A, Sato, N, Satogata, T, Sborlini, G, Schram, M, Shih, D, Singh, J, Singh, R, Siodmok, A, Stevens, J, Stone, P, Suarez, L, Suresh, K, Tawfik, A-N, Acosta, F Torales, Tran, N, Trotta, R, Twagirayezu, FJ, Tyson, R, Volkova, S, Vossen, A, Walter, E, Whiteson, D, Williams, M, Wu, S, Zachariou, N, and Zurita, P

Subjects
Information and Computing Sciences, Human-Centred Computing
Abstract

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.

Published
2024

3. Measurement of groomed event shape observables in deep-inelastic electron-proton scattering at HERA

Author

The H1 collaboration, 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., Hladký, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P. M., Jacquet, M., Janssen, T., Jung, A. W., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H. T., Kogler, R., Kostka, P., Kretzschmar, J., Krücker, D., Krüger, 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., Müller, 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., Reichelt, D., 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., Schöning, A., Schumann, S., Sefkow, F., Shushkevich, S., Soloviev, Y., Sopicki, P., South, D., Specka, A., Steder, M., Stella, B., Stöcker, L., Straumann, U., Sun, C., Sykora, T., Thompson, P. D., Acosta, F. Torales, Traynor, D., Tseepeldorj, B., Tu, Z., Tustin, G., Valkárová, A., Vallée, C., Van Mechelen, P., Wegener, D., Wünsch, E., Žáček, J., Zhang, J., Zhang, Z., Žlebčík, R., Zohrabyan, H., and Zomer, F.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Experiment
Abstract

The H1 Collaboration at HERA reports the first measurement of groomed event shape observables in deep inelastic electron-proton scattering (DIS) at $\sqrt{s}=319$ GeV, using data recorded between the years 2003 and 2007 with an integrated luminosity of $351$ pb$^{-1}$. Event shapes provide incisive probes of perturbative and non-perturbative QCD. Grooming techniques have been used for jet measurements in hadronic collisions; this paper presents the first application of grooming to DIS data. The analysis is carried out in the Breit frame, utilizing the novel Centauro jet clustering algorithm that is designed for DIS event topologies. Events are required to have squared momentum-transfer $Q^2 > 150$ GeV$^2$ and inelasticity $ 0.2 < y < 0.7$. We report measurements of the production cross section of groomed event 1-jettiness and groomed invariant mass for several choices of grooming parameter. Monte Carlo model calculations and analytic calculations based on Soft Collinear Effective Theory are compared to the measurements., Comment: 32 pages, 17 tables, 7 figures, version as accepted by EPJ C

Published
2024
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4. Measurement of the 1-jettiness event shape observable in deep-inelastic electron-proton scattering at HERA

Author

The H1 collaboration, 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., Hladký, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P. M., Jacquet, M., Janssen, T., Jung, A. W., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H. T., Kluth, S., Kogler, R., Kostka, P., Kretzschmar, J., Krücker, D., Krüger, 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., Müller, 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., Reichelt, D., 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., Schöning, A., Schumann, S., Sefkow, F., Shushkevich, S., Soloviev, Y., Sopicki, P., South, D., Specka, A., Steder, M., Stella, B., Stöcker, L., Straumann, U., Sun, C., Sykora, T., Thompson, P. D., Acosta, F. Torales, Traynor, D., Tseepeldorj, B., Tu, Z., Tustin, G., Valkárová, A., Vallée, C., Van Mechelen, P., Wegener, D., Wünsch, E., Žáček, J., Zhang, J., Zhang, Z., Žlebčík, R., Zohrabyan, H., and Zomer, F.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Experiment
Abstract

The H1 Collaboration reports the first measurement of the 1-jettiness event shape observable $\tau_1^b$ in neutral-current deep-inelastic electron-proton scattering (DIS). The observable $\tau_1^b$ is equivalent to a thrust observable defined in the Breit frame. The data sample was collected at the HERA $ep$ collider in the years 2003-2007 with center-of-mass energy of $\sqrt{s}=319\,\text{GeV}$, corresponding to an integrated luminosity of $351.1\,\text{pb}^{-1}$. Triple differential cross sections are provided as a function of $\tau_1^b$, event virtuality $Q^2$, and inelasticity $y$, in the kinematic region $Q^2>150\,\text{GeV}^{2}$. Single differential cross section are provided as a function of $\tau_1^b$ in a limited kinematic range. Double differential cross sections are measured, in contrast, integrated over $\tau_1^b$ and represent the inclusive neutral-current DIS cross section measured as a function of $Q^2$ and $y$. The data are compared to a variety of predictions and include classical and modern Monte Carlo event generators, predictions in fixed-order perturbative QCD where calculations up to $\mathcal{O}(\alpha_s^3)$ are available for $\tau_1^b$ or inclusive DIS, and resummed predictions at next-to-leading logarithmic accuracy matched to fixed order predictions at $\mathcal{O}(\alpha_s^2)$. These comparisons reveal sensitivity of the 1-jettiness observable to QCD parton shower and resummation effects, as well as the modeling of hadronization and fragmentation. Within their range of validity, the fixed-order predictions provide a good description of the data. Monte Carlo event generators are predictive over the full measured range and hence their underlying models and parameters can be constrained by comparing to the presented data., Comment: 45 pages, 38 tables, 13 figures

Published
2024

5. Observation and differential cross section measurement of neutral current DIS events with an empty hemisphere in the Breit frame

Author

The H1 collaboration, 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., Hladký, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P. M., Jacquet, M., Janssen, T., Jung, A. W., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H. T., Kluth, S., Kogler, R., Kostka, P., Kretzschmar, J., Krücker, D., Krüger, 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., Müller, 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., Reichelt, D., 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., Schöning, A., Schumann, S., Sefkow, F., Shushkevich, S., Soloviev, Y., Sopicki, P., South, D., Specka, A., Steder, M., Stella, B., Stöcker, L., Straumann, U., Sun, C., Sykora, T., Thompson, P. D., Acosta, F. Torales, Traynor, D., Tseepeldorj, B., Tu, Z., Tustin, G., Valkárová, A., Vallée, C., Van Mechelen, P., Wegener, D., Wünsch, E., Žáček, J., Zhang, J., Zhang, Z., Žlebčík, R., Zohrabyan, H., and Zomer, F.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Experiment
Abstract

The Breit frame provides a natural frame to analyze lepton-proton scattering events. In this reference frame, the parton model hard interactions between a quark and an exchanged boson defines the coordinate system such that the struck quark is back-scattered along the virtual photon momentum direction. In Quantum Chromodynamics (QCD), higher order perturbative or non-perturbative effects can change this picture drastically. As Bjorken-$x$ decreases below one half, a rather peculiar event signature is predicted with increasing probability, where no radiation is present in one of the two Breit-frame hemispheres and all emissions are to be found in the other hemisphere. At higher orders in $\alpha_s$ or in the presence of soft QCD effects, predictions of the rate of these events are far from trivial, and that motivates measurements with real data. We report on the first observation of the empty current hemisphere events in electron-proton collisions at the HERA collider using data recorded with the H1 detector at a center-of-mass energy of 319 GeV. The fraction of inclusive neutral-current DIS events with an empty hemisphere is found to be $0.0112 \pm 3.9\,\%_\text{stat} \pm 4.5\,\%_\text{syst} \pm 1.6\,\%_\text{mod}$ in the selected kinematic region of $150< Q^2<1500$ GeV$^2$ and inelasticity $0.14< y<0.7$. The data sample corresponds to an integrated luminosity of 351.1 pb$^{-1}$, sufficient to enable differential cross section measurements of these events. The results show an enhanced discriminating power at lower Bjorken-$x$ among different Monte Carlo event generator predictions., Comment: 13 pages, 5 figures, 2 Tables. This version as accepted for publication

Published
2024
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6. Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Author

Allaire, C., Ammendola, R., Aschenauer, E. -C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Finger, Jr., M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Harish, R., Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jayakodige, D., Joo, B., Junaid, M., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stone, P., Stevens, J., Suarez, L., Suresh, K., Tawfik, A. -N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., and Zurita, P.

Subjects
Physics - Accelerator Physics, Computer Science - Machine Learning, High Energy Physics - Experiment, Nuclear Experiment, Nuclear Theory
Abstract

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments., Comment: 27 pages, 11 figures, AI4EIC workshop, tutorials and hackathon

Published
2023

7. Observation and differential cross section measurement of neutral current DIS events with an empty hemisphere in the Breit frame

Author

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., Contrera, 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., Hladký, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P. M., Jacquet, M., Janssen, T., Jung, A. W., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H. T., Kluth, S., Kogler, R., Kostka, P., Kretzschmar, J., Krücker, D., Krüger, 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., Müller, 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., Reichelt, D., 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., Schöning, A., Schumann, S., Sefkow, F., Shushkevich, S., Soloviev, Y., Sopicki, P., South, D., Specka, A., Steder, M., Stella, B., Stöcker, L., Straumann, U., Sun, C., Sykora, T., Thompson, P. D., Acosta, F. Torales, Traynor, D., Tseepeldorj, B., Tu, Z., Tustin, G., Valkárová, A., Vallée, C., van Mechelen, P., Wegener, D., Wünsch, E., Žáček, J., Zhang, J., Zhang, Z., Žlebčík, R., Zohrabyan, H., and Zomer, F.

Published
2024
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8. Unbinned Deep Learning Jet Substructure Measurement in High $Q^2$ ep collisions at HERA

Author

The H1 collaboration, 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., Hladký, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P. M., Jacquet, M., Janssen, T., Jung, A. W., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H. T., Kogler, R., Kostka, P., Kretzschmar, J., Krücker, D., Krüger, 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., Müller, 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., Schöning, 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., Valkárová, A., Vallée, C., Van Mechelen, P., Wegener, D., Wünsch, E., Žáček, J., Zhang, J., Zhang, Z., Žlebčík, R., Zohrabyan, H., and Zomer, F.

Subjects
High Energy Physics - Experiment
Abstract

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 electron-proton collisions is of particular interest as many of the complications present at hadron colliders are absent. A detailed 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 $k_{\mathrm{T}}$ jet clustering algorithm. Results are reported at high transverse momentum transfer $Q^2>150$ GeV${}^2$, 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., Comment: 25 pages, 10 figures, 8 tables, version accepted by Physics Letters B

Published
2023
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9. Science Requirements and Detector Concepts for the Electron-Ion Collider: EIC Yellow Report

Author

Khalek, R. Abdul, Accardi, A., Adam, J., Adamiak, D., Akers, W., Albaladejo, M., Al-bataineh, A., Alexeev, M. G., Ameli, F., Antonioli, P., Armesto, N., Armstrong, W. R., Arratia, M., Arrington, J., Asaturyan, A., Asai, M., Aschenauer, E. C., Aune, S., Avagyan, H., Gayoso, C. Ayerbe, Azmoun, B., Bacchetta, A., Baker, M. D., Barbosa, F., Barion, L., Barish, K. N., Barry, P. C., Battaglieri, M., Bazilevsky, A., Behera, N. K., Benmokhtar, F., Berdnikov, V. V., Bernauer, J. C., Bertone, V., Bhattacharya, S., Bissolotti, C., Boer, D., Boglione, M., Bondì, M., Boora, P., Borsa, I., Bossù, F., Bozzi, G., Brandenburg, J. D., Brei, N., Bressan, A., Brooks, W. K., Bufalino, S., Bukhari, M. H. S., Burkert, V., Buttimore, N. H., Camsonne, A., Celentano, A., Celiberto, F. G., Chang, W., Chatterjee, C., Chen, K., Chetry, T., Chiarusi, T., Chien, Y. -T., Chiosso, M., Chu, X., Chudakov, E., Cicala, G., Cisbani, E., Cloet, I. C., Cocuzza, C., Cole, P. L., Colella, D., Collins II, J. L., Constantinou, M., Contalbrigo, M., Contin, G., Corliss, R., Cosyn, W., Courtoy, A., Crafts, J., Cruz-Torres, R., Cuevas, R. C., D'Alesio, U., Torre, S. Dalla, Das, D., Dasgupta, S. S., Da Silva, C., Deconinck, W., Defurne, M., DeGraw, W., Dehmelt, K., Del Dotto, A., Delcarro, F., Deshpande, A., Detmold, W., De Vita, R., Diefenthaler, M., Dilks, C., Dixit, D. U., Dulat, S., Dumitru, A., Dupré, R., Durham, J. M., Echevarria, M. G., Fassi, L. El, Elia, D., Ent, R., Esha, R., Ethier, J. J., Evdokimov, O., Eyser, K. O., Fanelli, C., Fatemi, R., Fazio, S., Fernandez-Ramirez, C., Finger, M., Finger Jr., M., Fitzgerald, D., Flore, C., Frederico, T., Friščić, I., Fucini, S., Furletov, S., Furletova, Y., Gal, C., Gamberg, L., Gao, H., Garg, P., Gaskell, D., Gates, K., Ducati, M. B. Gay, Gericke, M., da Silveira, G. Gil, Girod, F. -X., Glazier, D. I., Gnanvo, K., Goncalves, V. P., Gonella, L., Hernandez, J. O. Gonzalez, Goto, Y., Grancagnolo, F., Greiner, L. C., Guryn, W., Guzey, V., Hatta, Y., Hattawy, M., Hauenstein, F., He, X., Hemmick, T. K., Hen, O., Heyes, G., Higinbotham, D. W., Blin, A. N. Hiller, Hobbs, T. J., Hohlmann, M., Horn, T., Hou, T. -J., Huang, J., Huang, Q., Huber, G. M., Hyde, C. E., Iakovidis, G., Ilieva, Y., Jacak, B. V., Jacobs, P. M., Jadhav, M., Janoska, Z., Jentsch, A., Jezo, T., Jing, X., Jones, P. G., Joo, K., Joosten, S., Kafka, V., Kalantarians, N., Kalicy, G., Kang, D., Kang, Z. B., Kauder, K., Kay, S. J. D., Keppel, C. E., Kim, J., Kiselev, A., Klasen, M., Klein, S., Klest, H. T., Korchak, O., Kostina, A., Kotko, P., Kovchegov, Y. V., Krelina, M., Kuleshov, S., Kumano, S., Kumar, K. S., Kumar, R., Kumar, L., Kumerički, K., Kusina, A., Kutak, K., Lai, Y. S., Lalwani, K., Lappi, T., Lauret, J., Lavinsky, M., Lawrence, D., Lednicky, D., Lee, C., Lee, K., Lee, S. H., Levorato, S., Li, H., Li, S., Li, W., Li, X., Li, W. B., Ligonzo, T., Liu, H., Liu, M. X., Liu, X., Liuti, S., Liyanage, N., Lorcé, C., Lu, Z., Lucero, G., Lukow, N. S., Lunghi, E., Majka, R., Makris, Y., Mandjavidze, I., Mantry, S., Mäntysaari, H., Marhauser, F., Markowitz, P., Marsicano, L., Mastroserio, A., Mathieu, V., Mehtar-Tani, Y., Melnitchouk, W., Mendez, L., Metz, A., Meziani, Z. -E., Mezrag, C., Mihovilovič, M., Milner, R., Mirazita, M., Mkrtchyan, H., Mkrtchyan, A., Mochalov, V., Moiseev, V., Mondal, M. M., Morreale, A., Morrison, D., Motyka, L., Moutarde, H., Camacho, C. Muñoz, Murgia, F., Murray, M. J., Musico, P., Nadel-Turonski, P., Nadolsky, P. M., Nam, J., Newman, P. R., Neyret, D., Nguyen, D., Nocera, E. R., Noferini, F., Noto, F., Nunes, A. S., Okorokov, V. A., Olness, F., Osborn, J. D., Page, B. S., Park, S., Parker, A., Paschke, K., Pasquini, B., Paukkunen, H., Paul, S., Pecar, C., Pegg, I. L., Pellegrino, C., Peng, C., Pentchev, L., Perrino, R., Petriello, F., Petti, R., Pilloni, A., Pinkenburg, C., Pire, B., Pisano, C., Pitonyak, D., Poblaguev, A. A., Polakovic, T., Posik, M., Potekhin, M., Preghenella, R., Preins, S., Prokudin, A., Pujahari, P., Purschke, M. L., Pybus, J. R., Radici, M., Rajput-Ghoshal, R., Reimer, P. E., Rinaldi, M., Ringer, F., Roberts, C. D., Rodini, S., Rojo, J., Romanov, D., Rossi, P., Santopinto, E., Sarsour, M., Sassot, R., Sato, N., Schenke, B., Schmidke, W. B., Schmidt, I., Schmidt, A., Schmookler, B., Schnell, G., Schweitzer, P., Schwiening, J., Scimemi, I., Scopetta, S., Segovia, J., Seidl, R., Sekula, S., Semenov-Tian-Shanskiy, K., Shao, D. Y., Sherrill, N., Sichtermann, E., Siddikov, M., Signori, A., Singh, B. K., Širca, S., Slifer, K., Slominski, W., Sokhan, D., Sondheim, W. E., Song, Y., Soto, O., Spiesberger, H., Stasto, A. M., Stepanov, P., Sterman, G., Stevens, J. R., Stewart, I. W., Strakovsky, I., Strikman, M., Sturm, M., Stutzman, M. L., Sullivan, M., Surrow, B., Svihra, P., Syritsyn, S., Szczepaniak, A., Sznajder, P., Szumila-Vance, H., Szymanowski, L., Tadepalli, A. S., Takaki, J. D. Tapia, Tassielli, G. F., Terry, J., Tessarotto, F., Tezgin, K., Tomasek, L., Acosta, F. Torales, Tribedy, P., Tricoli, A., Triloki, Tripathi, S., Trotta, R. L., Tsai, O. D., Tu, Z., Tuvè, C., Ullrich, T., Ungaro, M., Urciuoli, G. M., Valentini, A., Vancura, P., Vandenbroucke, M., Van Hulse, C., Varner, G., Venugopalan, R., Vitev, I., Vladimirov, A., Volpe, G., Vossen, A., Voutier, E., Wagner, J., Wallon, S., Wang, H., Wang, Q., Wang, X., Wei, S. Y., Weiss, C., Wenaus, T., Wennlöf, H., Wickramaarachchi, N., Wikramanayake, A., Winney, D., Wong, C. P., Woody, C., Xia, L., Xiao, B. W., Xie, J., Xing, H., Xu, Q. H., Zhang, J., Zhang, S., Zhang, Z., Zhao, Z. W., Zhao, Y. X., Zheng, L., Zhou, Y., and Zurita, P.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Experiment, Nuclear Theory
Abstract

This report describes the physics case, the resulting detector requirements, and the evolving detector concepts for the experimental program at the Electron-Ion Collider (EIC). The EIC will be a powerful new high-luminosity facility in the United States with the capability to collide high-energy electron beams with high-energy proton and ion beams, providing access to those regions in the nucleon and nuclei where their structure is dominated by gluons. Moreover, polarized beams in the EIC will give unprecedented access to the spatial and spin structure of the proton, neutron, and light ions. The studies leading to this document were commissioned and organized by the EIC User Group with the objective of advancing the state and detail of the physics program and developing detector concepts that meet the emerging requirements in preparation for the realization of the EIC. The effort aims to provide the basis for further development of concepts for experimental equipment best suited for the science needs, including the importance of two complementary detectors and interaction regions. This report consists of three volumes. Volume I is an executive summary of our findings and developed concepts. In Volume II we describe studies of a wide range of physics measurements and the emerging requirements on detector acceptance and performance. Volume III discusses general-purpose detector concepts and the underlying technologies to meet the physics requirements. These considerations will form the basis for a world-class experimental program that aims to increase our understanding of the fundamental structure of all visible matter, Comment: 902 pages, 415 authors, 151 institutions

Published
2021
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10. Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Author

Allaire, C., Ammendola, R., Aschenauer, E.-C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jalotra, A., Jayakodige, D., Joo, B., Junaid, M., Kalantarians, N., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Li, Y., Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajendran, H., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Saini, A., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stevens, J., Stone, P., Suarez, L., Suresh, K., Tawfik, A.-N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., Zurita, P., Allaire, C., Ammendola, R., Aschenauer, E.-C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jalotra, A., Jayakodige, D., Joo, B., Junaid, M., Kalantarians, N., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Li, Y., Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajendran, H., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Saini, A., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stevens, J., Stone, P., Suarez, L., Suresh, K., Tawfik, A.-N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., and Zurita, P.

Abstract

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.

Published
2024

11. Unbinned Deep Learning Jet Substructure Measurement in High $Q^2$ ep collisions at HERA

Author

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., Cantun Avila, K.B., Cerny, K., Chekelian, V., Chen, Z., Contreras, J.G., Cunqueiro Mendez, L., 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., Hladký, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P.M., Jacquet, M., Janssen, T., Jung, A.W., Kapichine, M., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H.T., Kogler, R., Kostka, P., Kretzschmar, J., Krücker, D., Krüger, 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., Morozov, A., Müller, 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., Schöning, A., Sefkow, F., Shushkevich, S., Soloviev, Y., Sopicki, P., South, D., Spaskov, V., 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., Valkárová, A., Vallée, C., Van Mechelen, P., Wegener, D., Wünsch, E., Žáček, J., Zhang, J., Zhang, Z., Žlebčík, R., Zohrabyan, H., Zomer, F., Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Département de Physique des Particules (ex SPP) (DPhP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), and H1

Subjects
particle, energy, neural network, hep-ex, momentum transfer, FOS: Physical sciences, electron p, interaction, GeV, High Energy Physics - Experiment, DESY HERA Stor, High Energy Physics - Experiment (hep-ex), machine learning, energy, high, nuclear physics, network, strong coupling, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], structure, hadron, higher-dimensional, Monte Carlo, transverse momentum, high, Particle Physics - Experiment, Berkeley Lab
Abstract

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 electron-proton collisions is of particular interest as many of the complications present at hadron colliders are absent. A detailed 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 $k_{\mathrm{T}}$ jet clustering algorithm. Results are reported at high transverse momentum transfer $Q^2>150$ GeV${}^2$, 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., 30 pages, 10 figures, 8 tables, corrected authorlist

Published
2023
Full Text
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