276 citations · 601 across the 9 of their papers we have counts for
10 papers
Deep-learning Top Taggers or The End of QCD?
Gregor Kasieczka, Tilman Plehn, Michael Russell +1
Machine learning based on convolutional neural networks can be used to study jet images from the LHC. Top tagging in fat jets offers a well-defined framework to establish our DeepT…
Physics at a 100 TeV pp collider: Higgs and EW symmetry breaking studies
R. Contino, D. Curtin, A. Katz +72
This report summarises the physics opportunities for the study of Higgs bosons and the dynamics of electroweak symmetry breaking at the 100 TeV pp collider.
Physics at a 100 TeV pp collider: beyond the Standard Model phenomena
T. Golling, M. Hance, P. Harris +111
This report summarises the physics opportunities in the search and study of physics beyond the Standard Model at a 100 TeV pp collider.
Hunting the Flavon
Martin Bauer, Torben Schell, Tilman Plehn
The next generation of experiments in particle physics will for the first time systematically test flavor physics models based on flavon fields. Starting from the current quark-fla…
Measuring the Top Yukawa Coupling at 100 TeV
Michelangelo L. Mangano, Tilman Plehn, Peter Reimitz +2
We propose a measurement of the top Yukawa coupling at a 100 TeV hadron collider, based on boosted Higgs and top decays. We find that the top Yukawa coupling can be measured to 1%,…
Resonance Searches with an Updated Top Tagger
Gregor Kasieczka, Tilman Plehn, Torben Schell +2
The performance of top taggers, for example in resonance searches, can be significantly enhanced through an increased set of variables, with a special focus on final-state radiatio…