QCD Theory Meets Information Theory Article Swipe
Benoît Assi
,
Stefan Hoeche
,
Kyle Lee
,
Jesse Thaler
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1103/gf42-qzd9
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1103/gf42-qzd9
We present a novel technique to incorporate precision calculations from quantum chromodynamics into fully differential particle-level Monte Carlo simulations. By minimizing an information-theoretic quantity subject to constraints, our reweighted Monte Carlo incorporates systematic uncertainties absent in individual Monte Carlo predictions, achieving consistency with the theory input in precision and its estimated systematic uncertainties. Our method can be applied to arbitrary observables known from precision calculations, including multiple observables simultaneously. It generates strictly positive weights, thus offering a clear path to statistically powerful and theoretically precise computations for current and future collider experiments. As a proof of concept, we apply our technique to event-shape observables at electron-positron colliders, leveraging existing precision calculations of thrust. Our analysis highlights the importance of logarithmic moments of event shapes, which have not been previously studied in the collider physics literature.
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- OA Status
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- 119
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- https://openalex.org/W4414384643
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https://doi.org/10.1103/gf42-qzd9Digital Object Identifier
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QCD Theory Meets Information TheoryWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-09-22Full publication date if available
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Benoît Assi, Stefan Hoeche, Kyle Lee, Jesse ThalerList of authors in order
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https://doi.org/10.1103/gf42-qzd9Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1103/gf42-qzd9Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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119Number of works referenced by this work
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| abstract_inverted_index.powerful | 81 |
| abstract_inverted_index.quantity | 23 |
| abstract_inverted_index.strictly | 71 |
| abstract_inverted_index.weights, | 73 |
| abstract_inverted_index.achieving | 40 |
| abstract_inverted_index.arbitrary | 59 |
| abstract_inverted_index.estimated | 50 |
| abstract_inverted_index.generates | 70 |
| abstract_inverted_index.including | 65 |
| abstract_inverted_index.precision | 7, 47, 63, 109 |
| abstract_inverted_index.technique | 4, 100 |
| abstract_inverted_index.colliders, | 106 |
| abstract_inverted_index.highlights | 115 |
| abstract_inverted_index.importance | 117 |
| abstract_inverted_index.individual | 36 |
| abstract_inverted_index.leveraging | 107 |
| abstract_inverted_index.minimizing | 20 |
| abstract_inverted_index.previously | 128 |
| abstract_inverted_index.reweighted | 28 |
| abstract_inverted_index.systematic | 32, 51 |
| abstract_inverted_index.consistency | 41 |
| abstract_inverted_index.event-shape | 102 |
| abstract_inverted_index.incorporate | 6 |
| abstract_inverted_index.literature. | 134 |
| abstract_inverted_index.logarithmic | 119 |
| abstract_inverted_index.observables | 60, 67, 103 |
| abstract_inverted_index.calculations | 8, 110 |
| abstract_inverted_index.computations | 85 |
| abstract_inverted_index.constraints, | 26 |
| abstract_inverted_index.differential | 14 |
| abstract_inverted_index.experiments. | 91 |
| abstract_inverted_index.incorporates | 31 |
| abstract_inverted_index.predictions, | 39 |
| abstract_inverted_index.simulations. | 18 |
| abstract_inverted_index.calculations, | 64 |
| abstract_inverted_index.statistically | 80 |
| abstract_inverted_index.theoretically | 83 |
| abstract_inverted_index.uncertainties | 33 |
| abstract_inverted_index.chromodynamics | 11 |
| abstract_inverted_index.particle-level | 15 |
| abstract_inverted_index.uncertainties. | 52 |
| abstract_inverted_index.simultaneously. | 68 |
| abstract_inverted_index.electron-positron | 105 |
| abstract_inverted_index.information-theoretic | 22 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.16714138 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |