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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Identification of light leptons and pions in the electromagnetic calorimeter of Belle II</dc:title><dc:creator>Novosel,	Anja	(Avtor)
	</dc:creator><dc:creator>Charan,	Abtin Narimani	(Avtor)
	</dc:creator><dc:creator>Šantelj,	Luka	(Avtor)
	</dc:creator><dc:creator>Ferber,	Torben	(Avtor)
	</dc:creator><dc:creator>Križan,	Peter	(Avtor)
	</dc:creator><dc:creator>Golob,	Boštjan	(Avtor)
	</dc:creator><dc:subject>electromagnetic calorimeter</dc:subject><dc:subject>particle identification</dc:subject><dc:subject>convolutional neural network</dc:subject><dc:description>The paper discusses new method for electron/pion and muon/pion separation in the Belle II detector at transverse momenta below 0.7 GeV/c, which is essential for efficient measurements of semi-leptonic decays of $B$ mesons with tau lepton in the final state. The method is based on the analysis of patterns in the electromagnetic calorimeter by using a Convolutional Neural Network (CNN).</dc:description><dc:date>2023</dc:date><dc:date>2024-07-02 10:40:42</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>159153</dc:identifier><dc:identifier>ISSN pri članku: 0168-9002</dc:identifier><dc:identifier>DOI: 10.1016/j.nima.2023.168630</dc:identifier><dc:identifier>COBISS_ID: 200863747</dc:identifier><dc:language>sl</dc:language></metadata>
