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Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F22%3A00566752" target="_blank" >RIV/68378271:_____/22:00566752 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/22:10455201 RIV/61989592:15310/22:73617322

  • Result on the web

    <a href="https://hdl.handle.net/11104/0338045" target="_blank" >https://hdl.handle.net/11104/0338045</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1103/PhysRevLett.128.132002" target="_blank" >10.1103/PhysRevLett.128.132002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding

  • Original language description

    The first measurement of lepton-jet momentum imbalance and azimuthal correlation in lepton-proton scattering at high momentum transfer is presented. These data, taken with the H1 detector at HERA, are corrected for detector effects using an unbinned machine learning algorithm(MultiFold), which considers eight observables simultaneously in this first application. The unfolded cross sections are compared to calculations performed within the context of collinear or transverse-momentum-dependent (TMD) factorization in Quantum Chromodynamics (QCD) as well as Monte Carlo event generators.

  • 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

    10303 - Particles and field physics

Result continuities

  • Project

    <a href="/en/project/LG14033" target="_blank" >LG14033: Czech collaboration on the projects H1 and CALICE</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Physical Review Letters

  • ISSN

    0031-9007

  • e-ISSN

    1079-7114

  • Volume of the periodical

    128

  • Issue of the periodical within the volume

    13

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    132002

  • UT code for WoS article

    000791077600003

  • EID of the result in the Scopus database

    2-s2.0-85127922635