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Iterative HOMER with uncertainties

Butter, Anja ; Ore, Ayodele ; Schweitzer, Sofia Palacios ; Plehn, Tilman ; Assi, Benoît ; Bierlich, Christian LU ; Ilten, Philip ; Menzo, Tony ; Mrenna, Stephen and Szewc, Manuel , et al. (2026) In SciPost Physics 20(2).
Abstract

We present iHOMER, an iterative version of the HOMER method to extract Lund fragmentation functions from experimental data. Through iterations, we address the information gap between latent and observable phase spaces and systematically remove bias. To quantify uncertainties on the inferred weights, we use a combination of Bayesian neural networks and uncertainty-aware regression. We find that the combination of iterations and uncertainty quantification produces well-calibrated weights that accurately reproduce the data distribution. A parametric closure test shows that the iteratively learned fragmentation function is compatible with the true fragmentation function.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
SciPost Physics
volume
20
issue
2
article number
042
publisher
SciPost
external identifiers
  • scopus:105030672132
ISSN
2542-4653
DOI
10.21468/SciPostPhys.20.2.042
language
English
LU publication?
yes
additional info
Publisher Copyright: © A. Butter et al.
id
5954807f-8ea0-4d53-a016-947c45ce4bf1
date added to LUP
2026-04-22 13:42:01
date last changed
2026-04-23 11:38:23
@article{5954807f-8ea0-4d53-a016-947c45ce4bf1,
  abstract     = {{<p>We present iHOMER, an iterative version of the HOMER method to extract Lund fragmentation functions from experimental data. Through iterations, we address the information gap between latent and observable phase spaces and systematically remove bias. To quantify uncertainties on the inferred weights, we use a combination of Bayesian neural networks and uncertainty-aware regression. We find that the combination of iterations and uncertainty quantification produces well-calibrated weights that accurately reproduce the data distribution. A parametric closure test shows that the iteratively learned fragmentation function is compatible with the true fragmentation function.</p>}},
  author       = {{Butter, Anja and Ore, Ayodele and Schweitzer, Sofia Palacios and Plehn, Tilman and Assi, Benoît and Bierlich, Christian and Ilten, Philip and Menzo, Tony and Mrenna, Stephen and Szewc, Manuel and Wilkinson, Michael K. and Youssef, Ahmed and Zupan, Jure}},
  issn         = {{2542-4653}},
  language     = {{eng}},
  number       = {{2}},
  publisher    = {{SciPost}},
  series       = {{SciPost Physics}},
  title        = {{Iterative HOMER with uncertainties}},
  url          = {{http://dx.doi.org/10.21468/SciPostPhys.20.2.042}},
  doi          = {{10.21468/SciPostPhys.20.2.042}},
  volume       = {{20}},
  year         = {{2026}},
}