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Seeing in Color: Jet Superstructure
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A new class of observables is introduced which aims to characterize the superstructure of an event, that is, features, such as color flow, which are not determined by the jet four-momenta alone. Traditionally, an event is described as having jets which are independent objects; each jet has some energy, size, and possible substructure such as subjets or heavy flavor content. This description discards information connecting the jets to each other, which can be used to determine if the jets came from decay of a color singlet object, or if they were initiated by quarks or gluons. An example superstructure variable, pull, is presented as a simple handle on color flow. It can be used on an event-by-event basis as a tool for distinguishing previously irreducible backgrounds at the Tevatron and the LHC.
Forward citations
Cited by 1 Pith paper
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Hunting and identifying coloured resonances in four top events with machine learning
A neural network analysis of four-top events projects discovery of colour octet and sextet scalars up to about 1.8 to 1.9 TeV at the HL-LHC and can distinguish their colour representations.
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