2 Цитирования (Scopus)

Аннотация

The technique of discrimination of the e+e- → e+e- and e+e- → π+π- events in energy range 0.5 < s < 1 GeV based on the difference in the energy deposition in calorimeter of SND detector was developed by applying machine learning method. Identification efficiency for e+e- → e+e- and e+e- → π+π- events is estimated to be in the range from 99.3 to 99.8%. Contribution of the identification efficiencies errors to the total error of e+e- → π+π- cross section is less than 0.2% for the most energy points.

Язык оригиналаанглийский
Номер статьи06035
Число страниц6
ЖурналJournal of Instrumentation
Том12
Номер выпуска6
DOI
СостояниеОпубликовано - 26 июн 2017

Fingerprint Подробные сведения о темах исследования «Separation of e<sup>+</sup>e<sup>-</sup> → e<sup>+</sup>e<sup>-</sup> and e<sup>+</sup>e<sup>-</sup> → π<sup>+</sup>π<sup>-</sup> events based on the difference in the energy deposition profiles in SND detector calorimeter.». Вместе они формируют уникальный семантический отпечаток (fingerprint).

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