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dc.contributor.authorJackson, Paul
dc.contributor.authorRogan, Christopher
dc.date.accessioned2018-11-01T20:11:04Z
dc.date.available2018-11-01T20:11:04Z
dc.date.issued2017-12-20
dc.identifier.citationJackson, P., & Rogan, C. (2017). Recursive Jigsaw Reconstruction: HEP event analysis in the presence of kinematic and combinatoric ambiguities. Physical Review D, 96(11), 112007.en_US
dc.identifier.urihttp://hdl.handle.net/1808/27147
dc.description.abstractWe introduce recursive jigsaw reconstruction, a technique for analyzing reconstructed particle interactions in the presence of kinematic and combinatoric unknowns associated with unmeasured and indistinguishable particles, respectively. By factorizing missing information according to decays and rest frames of intermediate particles, an interchangeable and configurable set of jigsaw rules, algorithms for resolving these unknowns, are applied to approximately reconstruct decays with arbitrarily many particles, in their entirety. That the recursive jigsaw reconstruction approach can be used to analyze any event topology of interest, with any number of ambiguities, is demonstrated through twelve different simulated LHC physics examples. These include the production and decay of W, Z, Higgs bosons, and supersymmetric particles including gluinos, stop quarks, charginos, and neutralinos.en_US
dc.publisherAmerican Physical Societyen_US
dc.rights© 2017 American Physical Society.en_US
dc.titleRecursive jigsaw reconstruction: HEP event analysis in the presence of kinematic and combinatoric ambiguitiesen_US
dc.typeArticleen_US
kusw.kuauthorRogan, Christopher
kusw.kudepartmentPhysics and Astronomyen_US
dc.identifier.doi10.1103/PhysRevD.96.112007en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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