Conservation laws and effective hadronization models
Tony Menzo

TL;DR
This paper introduces a formalism that models hadronization as a conditioned stochastic diffusion process, revealing how conservation laws induce non-Markovian correlations and enabling a systematic effective theory approach.
Contribution
It develops a novel mathematical framework for hadronization that incorporates conservation laws via a Doob $h$-transform, establishing a Wilsonian tower of effective theories with scale separation.
Findings
Reveals non-Markovian correlations from conservation laws in hadronization.
Establishes a Wilsonian effective theory hierarchy with scale-invariant and running regimes.
Provides a framework for improved theoretical analysis and simulation of hadronization.
Abstract
Hadronization models based on local string-breaking dynamics are typically Markovian by construction, yet the physical ensemble of final states is shaped by global constraints that couple the entire fragmentation trajectory. Recasting hadronization as a conditioned stochastic diffusion process provides a precise mathematical resolution to this tension. In particular, this language reveals explicitly that constraints stemming from conservation laws induce non-Markovian correlations between otherwise independent fragmentation steps, and that these correlations can be absorbed exactly into a renormalization of the local dynamics through a Doob -transform. We develop this formalism for a string in the chiral limit, where the longitudinal-transverse factorization of the Lund kernel becomes exact, enabling systematic power counting and clean ultraviolet (UV)/infrared (IR)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHigh-Energy Particle Collisions Research · Quantum Chromodynamics and Particle Interactions · Theoretical and Computational Physics
