Boosted objects: a probe of beyond the standard model physics

By A. Abdesselam, Alexander Belyaev, E. B. Kuutmann, U. Bitenc, G. Brooijmans, J. Butterworth, P. Renstrom, D. B. Franzosi, R. Buckingham, B. Chapleau and 54 more. 2010

344 citations recorded by the source corpus.

We present the report of the hadronic working group of the BOOST2010 workshop held at the University of Oxford in June 2010. The first part contains a review of the potential of hadronic decays of highly boosted particles as an aid for discovery at the LHC and a discussion of the status of tools developed to meet the challenge of reconstructing and isolating these topologies. In the second part, we present new results comparing the performance of jet grooming techniques and top tagging algorithms on a common set of benchmark channels. We also study the sensitivity of jet substructure observables to the uncertainties in Monte Carlo predictions.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/63ac610d50e151eea6bc4db14e020e10e39bb167

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In Nuclear and High Energy Physics

Citations in the corpus

Gaining (mutual) information about quark/gluon discrimination (2014, methodology): “ndary terms. I(T;B) I(T;W) = 1 ln2 Z dq( q) g00 w(q) g0 w(q) f(1 f) f+ (1 f)g0 w(q) + O( 2): (A.11) This term is manifestly positive because for any (ideal) ROC curve g0(q) 0 and g00(q) 0 for all q2[0;1], and ( q) is positive by assumption. Therefore, I(T;B) I(T;W) >0 (A.12) up to corrections of ”
Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks (2016, background): “The past decade has seen an explosion of interest in understanding and exploiting the distribution of energy (substructure) within hadronic jets and boosted resonances at the Large Hadron Collider (LHC) [1–4].”
ParticleNet: Jet Tagging via Particle Clouds (2019, neutral): “[19–24] for more in-depth reviews.”
Energy flow networks: deep sets for particle jets (2018, neutral): “[54, 79–83] for reviews).”
Jet-images: computer vision inspired techniques for jet tagging (2014, methodology): “Diﬀerent jet grooming techniques (see [29, 42] and references therein) which mitigate the eﬀects of pileup could also be used.”
Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning (2017, background): “There are also a number of more specialized and earlier reviews on different aspects of jet substructure, to which we refer the interested reader [5, 6, 7, 8, 1, 2, 3, 4, 9].”
Performance of jet substructure techniques for large-R jets in proton-proton collisions at $ \sqrt{s}=7 $ TeV using the ATLAS detector (2013, methodology): “A common method of comparing the performance of such discriminating variables or tagging algorithms is to compare the rate at which light-quark or gluon jets are selected (the mis-tag rate) to the efficiency for retaining jets containing the hadronic particle decay of interest [13, 14].”
Vector boson pair production at the LHC (2011, methodology): “The study of boosted objects at the LHC has potential as an additional handle on searches for new physics, such as a Higgs boson [56] or supersymmetric particles [ 57 ].”
Maximizing boosted top identification by minimizing N-subjettiness (2011, methodology): “Comparison of N -subjettiness to other boosted top taggers using benchmark samples from the BOOST2010 report [14].”
Jet substructure at the Tevatron and LHC: new results, new tools, new benchmarksReport prepared by the participants of the BOOST 2011 Workshop at Princeton University, 22–26 May 2011. L Asquith (lasquith@hep.anl.gov), S Rappoccio (rappocc@fnal.gov) and C K Vermilion (verm@uw.edu), editors. (2011, methodology): “Observables designed to be sensitive to the internal structure of jets are expected to also be sensitive to pile-up [1].”
Jet mass and substructure of inclusive jets in sqrt(s) = 7 TeV pp collisions with the ATLAS experiment (2012, background): “Additional proton-proton collisions (pile-up) can have a significant impact on quantities like jet mass and substructure [8].”