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Disperon QED

by Yizhou Fang, Sophie Kollatzsch, Marco Rocco, Adrian Signer, Yannick Ulrich, Max Zoller

Submission summary

Authors (as registered SciPost users): Sophie Kollatzsch · Marco Rocco · Adrian Signer · Yannick Ulrich
Submission information
Preprint Link: https://arxiv.org/abs/2512.10709v1  (pdf)
Code repository: https://gitlab.com/mule-tools/mcmule
Data repository: https://gitlab.com/mule-tools/user-library
Date submitted: Dec. 16, 2025, 3:56 p.m.
Submitted by: Sophie Kollatzsch
Submitted to: SciPost Physics
Ontological classification
Academic field: Physics
Specialties:
  • High-Energy Physics - Experiment
  • High-Energy Physics - Phenomenology
  • Nuclear Physics - Theory
Approaches: Theoretical, Computational, Phenomenological

Abstract

We present disperon QED, a method to deal with data input in loop processes in Monte Carlo codes. It relies on dispersion relations, automated tools such as OpenLoops, effective field theory methods and a threshold subtraction. We motivate this method and apply it to the process $ee\to\pi\pi$ in McMule to deal with hadronic vacuum polarisation insertions in two-loop contributions as well as the vector form factor of the pion within the form-factor scalar QED approximation. The generality of this method for more complicated processes is emphasised.

Author indications on fulfilling journal expectations

  • Provide a novel and synergetic link between different research areas.
  • Open a new pathway in an existing or a new research direction, with clear potential for multi-pronged follow-up work
  • Detail a groundbreaking theoretical/experimental/computational discovery
  • Present a breakthrough on a previously-identified and long-standing research stumbling block
Current status:
In refereeing

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