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Mbb Distribution of Subsets of Higgs Boson Decay Events defined via Neural Networks.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06020226" target="_blank" >RIV/67985807:_____/02:06020226 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mbb Distribution of Subsets of Higgs Boson Decay Events defined via Neural Networks.

  • Original language description

    This paper describes an application of a neural network approach to standard model Higgs search in the associated production ttH with H->bb. Neural network model with a special type of data flow is used to separate ttjj background from H->bb events. Randomly generated networks are trained and genetic algorithms are used to tune their performance. Our results show that NN approach is applicable to H-boson detection and can be used to emphasize difference of M_bb distribution for events accepted by filter.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LN00B096" target="_blank" >LN00B096: Center for Applied Cybernetics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    559-571

  • UT code for WoS article

  • EID of the result in the Scopus database