Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012
By A. Altheimer, A. Arce, L. Asquith, J. Backus Mayes, E. B. Kuutmann, J. Berger, D. Bjergaard, L. Bryngemark, Andy Buckley, J. Butterworth and 77 more. 2013
200 citations recorded by the source corpus.
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 first-principle QCD calculations to yield a precise description of the substructure of jets and study the accuracy of state-of-the-art Monte Carlo tools. Limitations of the experiments’ ability to resolve substructure are evaluated, with a focus on the impact of additional (pile-up) proton proton collisions on jet substructure performance in future LHC operating scenarios. A final section summarizes the lessons learnt from jet substructure analyses in searches for new physics in the production of boosted top quarks.
Subfields: Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/8256d2270aeaee887d5b682d3ef06dc34d5780d8
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Citations in the corpus
- Jet-images: computer vision inspired techniques for jet tagging (2014, background): “…[16, 17], energy flow and event shapes [18–24], and probabilistic jet clustering [25, 26]; more inclusive summaries can be found in references [27–30] Typical approaches to jet flavor identification and jet tagging begin with a simplified analytic expression of the system’s behavior, such as the…”
- Looking Inside Jets (2019, methodology): “[8] for an explicit application of the above procedure.”
- ParticleNet: Jet Tagging via Particle Clouds (2019, unknown): “929 722±17 768±11 765±11 127k Energy Flow Polynomials [21] 0.”
- Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report (2017, background): “Even without constituent-based subtraction techniques, though, there is a large reduction in pileup sensitivity to jet substructure from grooming [604,688,692,693].”