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Ensemble Learning in High Energy Physics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F19%3A00335099" target="_blank" >RIV/68407700:21340/19:00335099 - isvavai.cz</a>

  • Result on the web

    <a href="https://indico.fjfi.cvut.cz/event/114/" target="_blank" >https://indico.fjfi.cvut.cz/event/114/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Ensemble Learning in High Energy Physics

  • Original language description

    One of the core problems of $D^0$ meson decay analysis consists in separating pairs of kaons $K$ and~pions~$pi$ (signal), as the main product of this decay, from combinatoric background. To carry out such separation, complex machine learning methods are required. This study uses Random Forest algorithm with different data pre-processing approaches. The final results are presented both the quality measures of the signal separations and the physically motivated Gaussian distributions of signals separated.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of SPMS 2019 - Stochastic and Physical Monitoring Systems

  • ISBN

    978-80-01-06659-1

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    27-37

  • Publisher name

    Česká technika - nakladatelství ČVUT

  • Place of publication

    Praha

  • Event location

    Dobřichovice

  • Event date

    Jun 20, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article