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Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10512895" target="_blank" >RIV/00216208:11320/25:10512895 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=8vPjGAXrpt" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=8vPjGAXrpt</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1140/epjc/s10052-025-14713-w" target="_blank" >10.1140/epjc/s10052-025-14713-w</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC

  • Original language description

    We propose a neural network training method capable of accounting for the effects of systematic variations of the data model in the training process and describe its extension towards neural network multiclass classification. The procedure is evaluated on the realistic case of the measurement of Higgs boson production via gluon fusion and vector boson fusion in the tau tau decay channel at the CMS experiment. The neural network output functions are used to infer the signal strengths for inclusive production of Higgs bosons as well as for their production via gluon fusion and vector boson fusion. We observe improvements of 12 and 16% in the uncertainty in the signal strengths for gluon and vector-boson fusion, respectively, compared with a conventional neural network training based on cross-entropy.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10300 - Physical sciences

Result continuities

  • Project

    <a href="/en/project/LM2023040" target="_blank" >LM2023040: Research infrastructure for experiments at CERN</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    European Physical Journal C

  • ISSN

    1434-6044

  • e-ISSN

    1434-6052

  • Volume of the periodical

    85

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    37

  • Pages from-to

    1360

  • UT code for WoS article

    001639699600001

  • EID of the result in the Scopus database

    2-s2.0-105024350483