Stop reconstruction with tagged tops
By Tilman Plehn, Michael Spannowsky, M. Takeuchi, D. Zerwas. 2010
266 citations recorded by the source corpus.
At the LHC combinatorics make it unlikely that we will be able to observe stop pair production with a decay to a semi-leptonic top pair and missing energy for generic supersymmetric mass spectra. Using a Standard-Model top tagger on fully hadronic top decays we can not only extract the stop signal but also measure the top momentum. To illustrate the promise of tagging tops with moderate boost we include a detailed discussion of our HEPTopTagger algorithm.
Subfields: Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/6e8ce34b9cbee7b540d50dc79868feb3c8c32f1e
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Citations in the corpus
- Jet substructure at the Large Hadron Collider (2018, methodology): “(b) The HEPTopTagger (HTT) [177, 178] was designed to target ttH production in the H → bb decay channel.”
- Looking Inside Jets (2019, methodology): “ the tagger was augmented by cuts on observables that were manifestly Lorentz-invariant, and thus boosting between reference frames were no longer necessary. It proceeds as follows (see Appendix A of [168]): 1.one rst denes the fat jets with the Cambridge/Aachen algorithm with R= 1:5, 2.for a given ”
- Playing tag with ANN: boosted top identification with pattern recognition (2015, background): “Examples of new physics leading to boosted top signatures include Kaluza-Klein gluons [2, 3] and string Regge states [4] of the Randall-Sundrum model, stops [5] and gluinos [6] of supersymmetry, top and light quark partner decays in Composite Higgs models [7–12], and many others.”
- Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012 (2013, methodology): “Furthermore, the efficiency with which top quarks were identified as such was found to be significantly increased in both cases, and the HEPTopTagger was shown to reduce the backgrounds to such searches dramatically, even with a relatively relaxed transverse momentum selection.”
- Performance of jet substructure techniques for large-R jets in proton-proton collisions at $ \sqrt{s}=7 $ TeV using the ATLAS detector (2013, methodology): “Basic kinematic distributions for large-R jets before and after applying the HEPTopTagger algorithm, but without any b-tagging requirement, are shown in this section.”
- Energy correlation functions for jet substructure (2013, methodology): “For example, BDRS [5] and related methods [8, 42, 43] involve first reclustering the jet with the Cambridge/Aachen [44–46] or kT [47, 48] jet algorithm and then stepping through the clustering history to identify a hard splitting in the jet; pruning [12] is similar.”
- Finding physics signals with shower deconstruction (2011, unknown): “[11–31] and for a review see Ref.”
- 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): “† Rather than apply the subjet mass criteria of [60] we simply identify the W as the pair of the three identified subjets with mass closest to mW , and measure its mass and helicity angle as in the JH and CMS taggers.”
- Stop the top background of the stop search (2012, background): “Studies of the tt̄ + E T signal for new physics have been performed by many groups in various (fully hadronic, single-lepton) channels in recent years [27, 29, 31–37].”
- Boosted objects: a probe of beyond the standard model physics (2010, methodology): “The procedure was adapted for top-taggers in [11, 35] and found to be beneficial in normal dijet studies too [58].”