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New KAN method anatomizes Pythia-Herwig differences in physics event generation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method using additive Kolmogorov-Arnold Networks (KANs) to analyze the differences between high-energy physics event generators like Pythia and Herwig. This approach allows for a staged functional analysis, breaking down discrepancies at various simulation levels, from hard scattering to hadronization. The study found that differences in multiplicity are prominent at the shower level, while jet mass and shape become more significant after hadronization, with a mixed structure emerging in the full generator configuration. This KAN-based framework offers a detailed functional anatomy of generator-model dependence, revealing persistent structures and support failures. AI

IMPACT Introduces a novel KAN-based framework for dissecting discrepancies in complex simulation models, potentially applicable to other scientific domains.

RANK_REASON The cluster contains an academic paper detailing a new methodology for analyzing differences in physics event generators. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New KAN method anatomizes Pythia-Herwig differences in physics event generation

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The cluster contains an academic paper detailing a new methodology for analyzing differences in physics event generators. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Arghya Chattopadhyay ·

    Functional anatomy of Pythia-Herwig differences with Kolmogorov-Arnold networks

    arXiv:2608.15952v1 Announce Type: cross Abstract: Differences between high-energy event generators can arise at several stages of the collision simulation, from the hard scattering through parton showering and hadronization to the final event. These differences are usually summar…

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