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dc.contributor.authorColecchia, F-
dc.identifier.citationJournal of Physics: Conference Series, 490 (1): 012226, (2014)en_US
dc.description.abstractLow-energy strong interactions are a major source of background at hadron colliders, and methods of subtracting the associated energy flow are well established in the field. Traditional approaches treat the contamination as diffuse, and estimate background energy levels either by averaging over large data sets or by restricting to given kinematic regions inside individual collision events. On the other hand, more recent techniques take into account the discrete nature of background, most notably by exploiting the presence of substructure inside hard jets, i.e. inside collections of particles originating from scattered hard quarks and gluons. However, none of the existing methods subtract background at the level of individual particles inside events. We illustrate the use of an algorithm that will allow particle-by-particle background discrimination at the Large Hadron Collider, and we envisage this as the basis for a novel event filtering procedure upstream of the official reconstruction chains. Our hope is that this new technique will improve physics analysis when used in combination with state-of-the-art algorithms in high-luminosity hadron collider environments.en_US
dc.publisherInstitute of Physics Publishingen_US
dc.subjectParticle-by-particle filteringen_US
dc.subjectLarge Hadron Collideren_US
dc.subjectIndividual collision eventsen_US
dc.titleToward particle-level filtering of individual collision events at the Large Hadron Collider and beyonden_US
dc.typeConference Paperen_US
dc.relation.isPartOfJournal of Physics: Conference Series-
Appears in Collections:Dept of Computer Science Research Papers

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