Results 81 to 90 of about 3,273 (173)

A step toward interpretability: smearing the likelihood

Journal of High Energy Physics
The problem of interpretability of machine learning architecture in particle physics has no agreed-upon definition, much less any proposed solution. We present a first modest step toward these goals by proposing a definition and corresponding practical ...
Andrew J. Larkoski
doaj   +1 more source

Sensitivity of jet substructure to jet-induced medium response

Physics Letters B, 2018
Jet quenching in heavy ion collisions is expected to be accompanied by recoil effects, but unambiguous signals for the induced medium response have been difficult to identify so far. Here, we argue that modern jet substructure measurements can improve this situation qualitatively since they are sensitive to the momentum distribution inside the jet.
Guilherme Milhano, Urs Achim Wiedemann, Korinna Christine Zapp   +2 more
openaire   +3 more sources

Learnable cut flow for high energy physics

Journal of High Energy Physics
Neural networks have emerged as a powerful paradigm for tasks in high energy physics, yet their opaque training process renders them as a black box.
Jing Li, Hao Sun
doaj   +1 more source

Is infrared-collinear safe information all you need for jet classification?

Journal of High Energy Physics
Machine learning-based jet classifiers are able to achieve impressive tagging performance in a variety of applications in high-energy and nuclear physics.
Dimitrios Athanasakos, Andrew J. Larkoski, James Mulligan, Mateusz Płoskoń, Felix Ringer   +4 more
doaj   +1 more source

Boosted objects and jet substructure at the LHC

, 2013
This report of the BOOST2012 workshop presents the results of four working groups that studied key aspects of jet substructure. We discuss the potential of the description of jet substructure in first-principle QCD calculations and study the accuracy of state-of-the-art Monte Carlo tools.
Altheimer, A., Arce, A., Cacciari, M., Campanelli, M., Carli, T., Chala, M., Chapleau, B., Chen, C., Chou, J. P., Cornelissen, Th., Curtin, D., Dasgupta, M., Asquith, L., Davison, A., de Almeida Dias, F., de Cosa, A., de Roeck, A., Debenedetti, C., Doglioni, C., Ellis, S. D., Fassi, F., Ferrando, J., Fleischmann, S., Backus Mayes, J., Freytsis, M., Gonzalez Silva, M. L., de la Hoz, S. Gonzalez, Guescini, F., Han, Z., Hook, A., Hornig, A., Izaguirre, E., Jankowiak, M., Juknevich, J., Kuutmann, E. Bergeaas, Kaci, M., Kar, D., Kasieczka, G., Kogler, R., Larkoski, A., Loch, P., Lopez Mateos, D., Marzani, S., Masetti, L., Mateu, V., Berger, J., Miller, D. W., Mishra, K., Nef, P., Nordstrom, K., Oliver Garcia, E., Penwell, J., Pilot, J., Plehn, T., Rappoccio, S., Rizzi, A., Bjergaard, D., Rodrigo, G., Safonov, A., Salam, G. P., Salt, J., Schaetzel, S., Schioppa, M., Schmidt, A., Scholtz, J., Schwartzman, A., Schwartz, M. D., Bryngemark, L., Segala, M., Son, M., Soyez, G., Spannowsky, M., Stewart, I., Strom, D., Swiatlowski, M., Sanchez Martinez, V., Takeuchi, M., Thaler, J., Buckley, A., Thompson, E. N., Tran, N. V., Vermilion, C., Villaplana, M., Vos, M., Wacker, J., Walsh, J., Butterworth, J.   +86 more
openaire   +3 more sources

Measurement of jet substructure and jet fragmentation using the ATLAS detector

, 2021
Measurements of the internal properties of jets allow QCD to be studied in a new energy regime. In this talk, we discuss recent measurements of jet substructure and jet fragmentation, which were performed using data collected by the ATLAS experiment at a
Llorente Merino, Javier
core  

Resummed jet mass distribution with trimming in Z+jet events at the LHC

Journal of High Energy Physics
In this paper, we calculate the resummed jet mass distribution up to next-to-leading logarithmic accuracy for jets defined with the trimming groomer in Z+jet events at the LHC. We compute at fixed order and to all orders the large logarithms, both in the
Safa Gaid, Yazid Delenda, Rachik Soualah
doaj   +1 more source

Multiplicity distributions in QCD jets and jet topics

Journal of High Energy Physics
We evaluate the Koba-Nielsen-Olesen (KNO) scaling functions for quark- and gluon-initiated jets by incorporating energy conservation into the Double Logarithmic Approximation (DLA).
Xiang-Pan Duan, Lin Chen, Guo-Liang Ma, Carlos A. Salgado, Bin Wu   +4 more
doaj   +1 more source

Graph theory inspired anomaly detection at the LHC

Journal of High Energy Physics
Designing model-independent anomaly detection algorithms for analyzing LHC data remains a central challenge in the search for new physics, due to the high dimensionality of collider events. In this work, we develop a graph autoencoder as an unsupervised,
Jack Y. Araz, Dimitrios Athanasakos, Mateusz Ploskon, Felix Ringer   +3 more
doaj   +1 more source

Substructure of Boosted Jets

, 2013
Jets with transverse energy of few TeV are becoming now common in LHC data. Most of these jets are produced by QCD processes and some from the collimated decay of highly boosted objects like W, Z, H0 and top-quark. The study of such QCD jets may shed light on QCD showering processes and the identification of the jets coming from decays may test the ...
openaire   +2 more sources