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Statistical classification techniques in high energy physics (SDDT algorithm)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F16%3A00304798" target="_blank" >RIV/68407700:21340/16:00304798 - isvavai.cz</a>

  • Result on the web

    <a href="http://iopscience.iop.org/1742-6596/738/1/012034" target="_blank" >http://iopscience.iop.org/1742-6596/738/1/012034</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1742-6596/738/1/012034" target="_blank" >10.1088/1742-6596/738/1/012034</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Statistical classification techniques in high energy physics (SDDT algorithm)

  • Original language description

    We present our proposal of the supervised binary divergence decision tree with nested separation method based on the generalized linear models. A key insight we provide is the clustering driven only by a few selected physical variables. The proper selection consists of the variables achieving the maximal divergence measure between two different classes. Further, we apply our method to Monte Carlo simulations of physics processes corresponding to a data sample of top quark-antiquark pair candidate events in the lepton+jets decay channel. The data sample is produced in pp collisions at root S = 1.96 TeV. It corresponds to an integrated luminosity of 9.7 fb-1 recorded with the D0 detector during Run II of the Fermilab Tevatron Collider. The efficiency of our algorithm achieves 90% AUC in separating signal from background. We also briefly deal with the modification of statistical tests applicable to weighted data sets in order to test homogeneity of the Monte Carlo simulations and measured data. The justification of these modified tests is proposed through the divergence tests.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

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

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Journal of Physics: Conference Series

  • ISBN

  • ISSN

    1742-6588

  • e-ISSN

    1742-6588

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IOP Publishing Ltd.

  • Place of publication

    Bristol

  • Event location

    Athens

  • Event date

    May 23, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000403403900034