Finding top quarks with shower deconstruction

By Davison E. Soper, Michael Spannowsky. 2012

149 citations recorded by the source corpus.

We develop a new method for tagging jets produced by hadronically decaying top quarks. The method is an application of shower deconstruction, a maximum information approach that was previously applied to identifying jets produced by Higgs bosons that decay to bb¯. We tag an observed jet as a top jet based on a cut on a calculated variable χ that is an approximation to the ratio of the likelihood that a top jet would have the structure of the observed jet to the likelihood that a nontop QCD jet would have this structure. We find that the shower deconstruction based tagger can perform better in discriminating boosted top quark jets from QCD jets than other publicly available tagging algorithms.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/cc8f3cdeb94d10764c43129fac4452cbb940045b

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In Nuclear and High Energy Physics

1. Cms Collaboration
2. A. Larkoski
3. Atlas Collaboration
4. Benjamin Nachman
5. G. Salam
6. G. Soyez
7. Jesse Thaler
8. I. Moult

Citations in the corpus

• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations (2014, methodology): “For instance, dedicated outputs for matrix elements to be used in the MatchBox [181] framework and by EventDeconstruction [369, 370] are being developed.”
• Looking Inside Jets (2019, methodology): “BSTRUCTURE: CONCEPTS AND TOOLS 82 of all the weights associated with fpNgunder the signal or background hypothesis. To compute the weight for a given history, one uses a Feynman-diagrammatic approach [164, 165] where each vertex receives a factor of the form He R with Ha partonic splitting probabili”
• Jet substructure at the Large Hadron Collider (2018, methodology): “(c) Shower Deconstruction [180, 181] was designed to be analogous to running a parton shower Monte Carlo generator in reverse, where emission and decay probabilities at each vertex, color connections,”
• Pileup per particle identification (2014, methodology): “In figure 9 (left) we show the mass resolution9 for jets with pT between 100 GeV and 200 GeV at nPU = 80.”
• Playing tag with ANN: boosted top identification with pattern recognition (2015, methodology): “More recently, Matrix Element Method [30, 31] inspired techniques such as Shower Deconstruction have emerged [32, 33], where a boosted jet is tagged using approximations to hard matrix elements and the parton shower.”
• Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012 (2013, methodology): “g all shower histories can be computationally intensive, so certain requirements are made on the number of constituents used in the method to make the problem tractable. The results presented in Ref. [95] show an improvement on the top taggers described previously. Specically, the shower deconstruct”