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Your search keyword '"Vilalta, R."' showing total 3 results
Start Over Author "Vilalta, R." Topic high energy physics - experiment
3 results on '"Vilalta, R."'

1. The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider

Author

Aarrestad, T., van Beekveld, M., Bona, M., Boveia, A., Caron, S., Davies, J., De Simone, A., Doglioni, C., Duarte, J. M., Farbin, A., Gupta, H., Hendriks, L., Heinrich, L., Howarth, J., Jawahar, P., Jueid, A., Lastow, J., Leinweber, A., Mamuzic, J., Merényi, E., Morandini, A., Moskvitina, P., Nellist, C., Ngadiuba, J., Ostdiek, B., Pierini, M., Ravina, B., de Austri, R. Ruiz, Sekmen, S., Touranakou, M., Vaškevičiūte, M., Vilalta, R., Vlimant, J. R., Verheyen, R., White, M., Wulff, E., Wallin, E., Wozniak, K. A., and Zhang, Z.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, Physics - Data Analysis, Statistics and Probability, Statistics - Machine Learning
Abstract

We describe the outcome of a data challenge conducted as part of the Dark Machines Initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims at detecting signals of new physics at the LHC using unsupervised machine learning algorithms. First, we propose how an anomaly score could be implemented to define model-independent signal regions in LHC searches. We define and describe a large benchmark dataset, consisting of >1 Billion simulated LHC events corresponding to $10~\rm{fb}^{-1}$ of proton-proton collisions at a center-of-mass energy of 13 TeV. We then review a wide range of anomaly detection and density estimation algorithms, developed in the context of the data challenge, and we measure their performance in a set of realistic analysis environments. We draw a number of useful conclusions that will aid the development of unsupervised new physics searches during the third run of the LHC, and provide our benchmark dataset for future studies at https://www.phenoMLdata.org. Code to reproduce the analysis is provided at https://github.com/bostdiek/DarkMachines-UnsupervisedChallenge., Comment: v1: 54 pages, 24 figures. v2: 56 pages, citations added, extend discussion of look-elsewhere-effect, results unchanged; v3. minor typos and updated references

Published
2021
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2. Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report

Author

Brooijmans, G., Buckley, A., Caron, S., Falkowski, A., Fuks, B., Gilbert, A., Murray, W. J., Nardecchia, M., No, J. M., Torre, R., You, T., Della Porta, G. Zevi, Alguero, G., Araz, J. Y., Banerjee, S., Bélanger, G., Berger-Hryn'ova, T., Bernigaud, J., Bharucha, A., Buttazzo, D., Butterworth, J. M., Cacciapaglia, G., Coccaro, A., Corpe, L., Desai, N., De Simone, A., Dutta, J., Farbin, A., Fichet, S., Flacke, T., Ganguly, S., Gascon-Shotkin, S., Gonzalo, T., Goudelis, A., Gras, P., Gupta, R. S., Habedank, M., Heisig, J., Hendriks, L., Jain, S., Jueid, A., Kar, D., Kraml, S., Kvellestad, A., Lane, K. D., Langford, J., Leinweber, A., Lesauvage, A., Lessa, A., Mamuzic, J., Marzocca, D., Merényi, E., Mjallal, A., Mohan, K. A., Morandini, A., Moreau, G., Mutzel, S., Nellist, C., Otten, S., Pani, P., Panizzi, L., Pierini, M., Polesello, G., Porod, W., Prosper, H. B., Pukhov, A., Quevillon, J., Raklev, A., Reyes-González, H., Ruiz, R., de Austri, R. Ruiz, Schouwenberg, J., Sekmen, S., Sengupta, D., Smith, C., Son, M., Sperka, D., Stienen, B., Tobioka, K., van Beekveld, M., Venturini, E., Vignaroli, N., Vilalta, R., Waltenberger, W., Wardle, N., Watt, G., White, M., Williamson, S. L., Yallup, D., and Zurita, J.

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

This report presents the activities of the `New Physics' working group for the `Physics at TeV Colliders' workshop (Les Houches, France, 10--28 June, 2019). These activities include studies of direct searches for new physics, approaches to exploit published data to constrain new physics, as well as the development of tools to further facilitate these investigations. Benefits of machine learning for both the search for new physics and the interpretation of these searches are also presented., Comment: Proceedings of the BSM Session of the Les Houches 2019 workshop, 227 pages

Published
2020

3. Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report

Author

Brooijmans, G., Buckley, A., Caron, S., Falkowski, A., Fuks, B., Gilbert, A., Murray, W. J., Nardecchia, M., No, J. M., Torre, R., You, T., Zevi Della Porta, G., Alguero, G., Araz, J. Y., Banerjee, S., Bélanger, G., Berger-Hryn'ova, T., Bernigaud, J., Bharucha, A., Buttazzo, D., Butterworth, J. M., Cacciapaglia, G., Coccaro, A., Corpe, L., Desai, N., De Simone, A., Dutta, J., Farbin, A., Fichet, S., Flacke, T., Ganguly, S., Gascon-Shotkin, S., Gonzalo, T., Goudelis, A., Gras, P., Gupta, R. S., Habedank, M., Heisig, J., Hendriks, L., Jain, S., Jueid, A., Kar, D., Kraml, S., Kvellestad, A., Lane, K. D., Langford, J., Leinweber, A., Lesauvage, A., Lessa, A., Mamuzic, J., Marzocca, D., Merényi, E., Mjallal, A., Mohan, K. A., Morandini, A., Moreau, G., Mutzel, S., Nellist, C., Otten, S., Pani, P., Panizzi, L., Pierini, M., Polesello, G., Porod, W., Prosper, H. B., Pukhov, A., Quevillon, J., Raklev, A., Reyes-González, H., Ruiz, R., Ruiz de Austri, R., Schouwenberg, J., Sekmen, S., Sengupta, D., Smith, C., Son, M., Sperka, D., Stienen, B., Tobioka, K., van Beekveld, M., Venturini, E., Vignaroli, N., Vilalta, R., Waltenberger, W., Wardle, N., Watt, G., White, M., Williamson, S. L., Yallup, D., Zurita, J., 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), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Laboratoire de Physique Théorique et Hautes Energies (LPTHE), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Laboratoire d'Annecy-le-Vieux de Physique Théorique (LAPTH), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-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), Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), 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 de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)

Subjects
data analysis method, hep-ex, new physics: search for, FOS: Physical sciences, hep-ph, talk: Les Houches 2019/06/10, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology, High Energy Physics - Phenomenology (hep-ph), statistical analysis, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Particle Physics - Experiment, Particle Physics - Phenomenology
Abstract

This report presents the activities of the `New Physics' working group for the `Physics at TeV Colliders' workshop (Les Houches, France, 10--28 June, 2019). These activities include studies of direct searches for new physics, approaches to exploit published data to constrain new physics, as well as the development of tools to further facilitate these investigations. Benefits of machine learning for both the search for new physics and the interpretation of these searches are also presented., Proceedings of the BSM Session of the Les Houches 2019 workshop, 227 pages

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