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

2 code implementations • 28 May 2021 • T. Aarrestad, M. van Beekveld, M. Bona, A. Boveia, S. Caron, J. Davies, A. De Simone, C. Doglioni, J. M. Duarte, A. Farbin, H. Gupta, L. Hendriks, L. Heinrich, J. Howarth, P. Jawahar, A. Jueid, J. Lastow, A. Leinweber, J. Mamuzic, E. Merényi, A. Morandini, P. Moskvitina, C. Nellist, J. Ngadiuba, B. Ostdiek, M. Pierini, B. Ravina, R. Ruiz de Austri, S. Sekmen, M. Touranakou, M. Vaškevičiūte, R. Vilalta, J. R. Vlimant, R. Verheyen, M. White, E. Wulff, E. Wallin, K. A. Wozniak, Z. Zhang

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.

Anomaly Detection Density Estimation

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

2 code implementations • 27 Feb 2020 • G. Brooijmans, A. Buckley, S. Caron, A. Falkowski, B. Fuks, A. Gilbert, W. J. Murray, M. Nardecchia, J. M. No, R. Torre, T. You, G. Zevi Della Porta, G. Alguero, J. Y. Araz, S. Banerjee, G. Bélanger, T. Berger-Hryn'ova, J. Bernigaud, A. Bharucha, D. Buttazzo, J. M. Butterworth, G. Cacciapaglia, A. Coccaro, L. Corpe, N. Desai, A. De Simone, J. Dutta, A. Farbin, S. Fichet, T. Flacke, S. Ganguly, S. Gascon-Shotkin, T. Gonzalo, A. Goudelis, P. Gras, R. S. Gupta, M. Habedank, J. Heisig, L. Hendriks, S. Jain, A. Jueid, D. Kar, S. Kraml, A. Kvellestad, K. D. Lane, J. Langford, A. Leinweber, A. Lesauvage, A. Lessa, J. Mamuzic, D. Marzocca, E. Merényi, A. Mjallal, K. A. Mohan, A. Morandini, G. Moreau, S. Mutzel, C. Nellist, S. Otten, P. Pani, L. Panizzi, M. Pierini, G. Polesello, W. Porod, H. B. Prosper, A. Pukhov, J. Quevillon, A. Raklev, H. Reyes-González, R. Ruiz, R. Ruiz de Austri, J. Schouwenberg, S. Sekmen, D. Sengupta, C. Smith, M. Son, D. Sperka, B. Stienen, K. Tobioka, M. van Beekveld, E. Venturini, N. Vignaroli, R. Vilalta, W. Waltenberger, N. Wardle, G. Watt, M. White, S. L. Williamson, D. Yallup, J. Zurita

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).

High Energy Physics - Phenomenology High Energy Physics - Experiment

Deep learning for inferring cause of data anomalies

no code implementations • 19 Nov 2017 • V. Azzolini, M. Borisyak, G. Cerminara, D. Derkach, G. Franzoni, F. De Guio, O. Koval, M. Pierini, A. Pol, F. Ratnikov, F. Siroky, A. Ustyuzhanin, J-R. Vlimant

Typically, data comes from different sub-detectors and the global quality of data depends on the combinatorial performance of each of them.