Towards a data-driven model of hadronization using normalizing flows Article Swipe
Christian Bierlich
,
P. Ilten
,
Tony Menzo
,
S. Mrenna
,
Manuel Szewc
,
M. Wilkinson
,
Ahmed Youssef
,
Jure Zupan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2311.09296
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2311.09296
We introduce a model of hadronization based on invertible neural networks that faithfully reproduces a simplified version of the Lund string model for meson hadronization. Additionally, we introduce a new training method for normalizing flows, termed MAGIC, that improves the agreement between simulated and experimental distributions of high-level (macroscopic) observables by adjusting single-emission (microscopic) dynamics. Our results constitute an important step toward realizing a machine-learning based model of hadronization that utilizes experimental data during training. Finally, we demonstrate how a Bayesian extension to this normalizing-flow architecture can be used to provide analysis of statistical and modeling uncertainties on the generated observable distributions.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2311.09296
- https://arxiv.org/pdf/2311.09296
- OA Status
- green
- Cited By
- 2
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388787416
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4388787416Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2311.09296Digital Object Identifier
- Title
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Towards a data-driven model of hadronization using normalizing flowsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-11-15Full publication date if available
- Authors
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Christian Bierlich, P. Ilten, Tony Menzo, S. Mrenna, Manuel Szewc, M. Wilkinson, Ahmed Youssef, Jure ZupanList of authors in order
- Landing page
-
https://arxiv.org/abs/2311.09296Publisher landing page
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https://arxiv.org/pdf/2311.09296Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2311.09296Direct OA link when available
- Concepts
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Hadronization, Observable, Statistical physics, Computer science, Particle physics, Physics, Large Hadron Collider, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
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34Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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