Abstract

We propose a new class of infrared-collinear (IRC) and Sudakov safe observables with an associated jet grooming technique that removes dynamically soft and large angle branches. It is based on identifying the hardest branch in the Cambridge/Aachen re-clustering sequence and discarding prior splittings that occur at larger angles. This leads to a dynamically generated cut-off on the phase space of the tagged splitting that is encoded in a Sudakov form factor. In this exploratory study we focus on the mass and momentum sharing distributions of the tagged splitting which we analyze analytically to modified leading logarithmic accuracy and compare to Monte-Carlo simulations.

Highlights

  • Jets, or collimated sprays of particles originating from the fragmentation of energetic quarks and gluons, are among the most prominent features of high-energy particle collisions

  • It is based on identifying the hardest branch in the Cambridge/Aachen reclustering sequence and discarding prior splittings that occur at larger angles. This leads to a dynamically generated cutoff on the phase space of the tagged splitting that is encoded in a Sudakov form factor. In this exploratory study we focus on the mass and momentum sharing distributions of the tagged splitting which we analyze analytically to modified leading-logarithmic accuracy and compare to Monte Carlo simulations

  • We find an excellent agreement between the qualitative features of the analytic estimate for the dynamical grooming family as shown in Fig. 4 and the more realistic scenario provided by full-fledged Monte Carlo simulations

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Summary

INTRODUCTION

Collimated sprays of particles originating from the fragmentation of energetic quarks and gluons, are among the most prominent features of high-energy particle collisions. In the last decade, tackling these challenges has led to an improved analytical understanding of jet substructure (see [4,5,6] for recent reviews), coinciding with the maturing of fast and versatile jet reclustering procedures [7,8,9] In this context, several jet grooming techniques designed to reduce the jet’s sensitivity to nonlocal and nonperturbative physics have been developed. Grooming recursively along the primary and secondary emission branches strongly reduces nonperturbative effects in specific cases [13] Other techniques, such as trimming [14], recluster the jet with a smaller cone size and remove substructures below a certain energy cutoff. (ii) In grooming mode, one discards all emissions taking place prior to the hard splitting in the reclustering sequence This procedure can be iterated along all the branches of the jet.

VETOED SHOWERS AND TAGGING
COMPUTING TAGGED OBSERVABLES
MONTE CARLO STUDIES AND RESILIENCE TO NONPERTURBATIVE EFFECTS
CONCLUSIONS

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