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  • Letter
  • Open Access

Field-theoretic analysis of hadronization using soft drop jet mass

Anna Ferdinand1,2,*, Kyle Lee3,4,†, and Aditya Pathak1,5,‡

  • 1University of Manchester, School of Physics and Astronomy, Manchester M13 9PL, United Kingdom
  • 2DAMTP, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, United Kingdom
  • 3Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
  • 4Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 5Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, Germany

  • *annaferd@mit.edu
  • †kylel@mit.edu
  • ‡aditya.pathak@desy.de

Phys. Rev. D 108, L111501 – Published 11 December, 2023

DOI: https://doi.org/10.1103/PhysRevD.108.L111501

Abstract

One of the greatest challenges in quantum chromodynamics is understanding the hadronization mechanism, which is also crucial for carrying out precision physics with jet substructure. In this paper, we bring together recent advancements in our understanding of nonperturbative structure of the soft drop jet mass based on field theory, with precise perturbative calculations at next-to-next-to-leading logarithmic accuracy of its multidifferential variants. This allows for a model-independent analysis of power corrections associated with hadronization in a systematic manner. We test and calibrate hadronization models and their interplay with parton showers by comparing our universality predictions with various event generators for quark and gluon initiated jets in both lepton-lepton and hadron-hadron collisions. Our findings reveal that hadronization models perform better for quark jets relative to gluon jets. Our results provide a valuable toolbox for precision studies with the soft drop jet mass and pave the way for future analyses using real-world collider data. The stringent constraints derived in our framework are useful for improving the modeling of hadronization and its interplay with parton showers in next-generation event generators.

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