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Patrick Komiske (Massachusetts Institute of Technology)18/07/2018, 16:10Talk
I will discuss a set of observables, the Energy Flow Polynomials (EFPs), which form a complete, linear basis for IRC-safe observables. I will demonstrate that, on the problems of quark/gluon discrimination, boosted W tagging, and boosted top tagging, the performance of EFPs with linear classification is comparable to that of complex, modern machine learning techniques. Efficient computation of...
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Frederic Alexandre Dreyer (MIT)18/07/2018, 16:35Talk
Lund diagrams, a representation of the phase space within jets,
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have long been used in discussing parton showers and
resummations. We point out here that they can also serve as a
powerful tool for experimentally characterising the radiation
pattern within jets. We briefly comment on some of their
analytical properties and highlight their scope for constraining
Monte Carlo simulations. We then... -
Loukas Gouskos (Univ. of California Santa Barbara (US))18/07/2018, 17:00Talk
The talk will report on new tagging approaches developed by the CMS collaboration
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Andreas Hinzmann (University of Hamburg)19/07/2018, 09:00Talk
Precise measurements of the mass of the $W$ boson are important to test the overall consistency of the Standard Model of particle physics. The current best measurements of the $W$ boson mass come from single production measurements at hadron colliders in its decay mode to a lepton (electron or muon) and a neutrino and pair production of $W$ bosons at lepton colliders, where also the decay mode...
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Prof. Joel Walker (Sam Houston State University)19/07/2018, 09:25Talk
We introduce a new jet clustering algorithm (SIFT: Scale-Invariant Filter Tree), which does not impose a fixed cone size or associated scale on the event. The proposed construction maintains excellent object discrimination for very collimated partonic systems, while asymptotically recovering favorable behaviors of the standard anti-KT algorithm. It is intrinsically suitable (without secondary...
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Eric Metodiev (Massachusetts Institute of Technology)19/07/2018, 09:50Talk
I discuss a new framework to identify underlying classes of jets directly from data without input from simulation or theory. Due to a mathematical connection between mixed samples of jets and emergent themes in documents, statistical methods from topic modeling can be used to extract "jet topics" from data. I apply the jet topics method to extract quark and gluon multiplicity distributions...
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Dr Yang-Ting Chien (Massachusetts Institute of Technology)19/07/2018, 10:15Talk
I will discuss the telescoping deconstruction (TD) framework and its applications in many contexts, including boosted particle tagging, jet grooming and heavy ion jet modification studies. TD represents jet substructure information using a fixed-order subjet expansion with multiple angular resolutions. Specifically, using TD I will show the dominant feature of color-singlet jet isolation for...
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