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We propose extensions of the anti-$k_t$ and Cambridge/Aachen hierarchical jetclustering algorithms that are designed to retain the exact jet kinematics ofthese algorithms, while providing an infrared-and-collinear-safe definition ofjet flavour at any fixed order in perturbation theory. Central to our approachis a new technique called Interleaved Flavour Neutralisation (IFN), whereby thetreatment of flavour is integrated with, but distinct from, the kinematicclustering. IFN allows flavour information to be meaningfully accessed at eachstage of the clustering sequence, which enables a consistent assignment offlavour both to individual jets and to their substructure. We validate the IFNapproach using a dedicated framework for fixed-order tests of infrared andcollinear safety, which also reveals unanticipated issues in earlier approachesto flavoured jet clustering. We briefly explore the phenomenological impact ofIFN with anti-$k_t$ jets for benchmark tasks at the Large Hadron Collider.

Flavoured jets with exact anti-$k_t$ kinematics and tests of infrared and collinear safety