8 code implementations • 26 Feb 2019 • G. Kasieczka, T. Plehn, A. Butter, D. Debnath, M. Fairbairn, W. Fedorko, C. Gay, L. Gouskos, P. T. Komiske, S. Leiss, A. Lister, S. Macaluso, E. M. Metodiev, L. Moore, B. Nachman, K. Nordstrom, J. Pearkes, H. Qu, Y. Rath, M. Riegler, D. Shih, J. M. Thompson, S. Varma
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches.
High Energy Physics - Phenomenology
no code implementations • 20 Feb 2018 • J. A. Aguilar Saavedra, C. Degrande, G. Durieux, F. Maltoni, E. Vryonidou, C. Zhang, D. Barducci, I. Brivio, V. Cirigliano, W. Dekens, J. de Vries, C. Englert, M. Fabbrichesi, C. Grojean, U. Haisch, Y. Jiang, J. Kamenik, M. Mangano, D. Marzocca, E. Mereghetti, K. Mimasu, L. Moore, G. Perez, T. Plehn, F. Riva, M. Russell, J. Santiago, M. Schulze, Y. Soreq, A. Tonero, M. Trott, S. Westhoff, C. White, A. Wulzer, J. Zupan
This note proposes common standards and prescriptions for the effective-field-theory interpretation of top-quark measurements at the LHC.
High Energy Physics - Phenomenology High Energy Physics - Experiment
