Speaker
Andrey Mayorov
(National Research Nuclear University MEPhI)
Description
Analysis of experimental data of primary positrones and antiprotons fluxes obtained by PAMELA
spectrometer, recently confirmed by AMS-02 spectrometer, for some reasons shows big interest to the
high energies, which are more than 100 GeV. In this work we present a method for identification of
high-energy antiprotons on a background of imitating them protons due to finite instumental
resolution for high energies (so-called spillover). We base our approach on computing a set of
distinctive features represented by differently computed rigidities and training AdaBoost
classifier, which shows good classification accuracy of 89% for rigidity up to 1000 GeV.
Primary author
Anton Lukyanov
(PhD student)
Co-authors
Andrey Mayorov
(National Research Nuclear University MEPhI)
