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

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, a...

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Detalles Bibliográficos
Autores principales: 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.
Lenguaje:eng
Publicado: 2020
Materias:
hep-ex
Particle Physics - Experiment
hep-ph
Particle Physics - Phenomenology
Acceso en línea:http://cds.cern.ch/record/2711705
Descripción
Sumario: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.

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