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3. Track finding at Belle II

Author

Bertacchi, Valerio, Bilka, Tadeas, Braun, Nils, Casarosa, Giulia, Corona, Luigi, Cunliffe, Sam, Dattola, Filippo, De Marino, Gaetano, De Nuccio, Michael, De Pietro, Giacomo, Van Dong, Thanh, Dujany, Giulio, Ecker, Patrick, Eliachevitch, Michael, Fillinger, Tristan, Frost, Oliver, Frühwirth, Rudolf, Gebauer, Uwe, Glazov, Sasha, Gosling, Nicolas, Guo, Aiqiang, Hauth, Thomas, Heck, Martin, Kaleta, Mateusz, Kandra, Jakub, Kleinwort, Claus, Kuhr, Thomas, Kurz, Simon, Kvasnicka, Peter, Lettenbichler, Jakob, Lueck, Thomas, Martini, Alberto, Metzner, Felix, Neverov, Dmitrii, Niebuhr, Carsten, Paoloni, Eugenio, Patra, Sourav, Piilonen, Leo, Praz, Cyrille, Prim, Markus Tobias, Pulvermacher, Christian, Racs, Sebastian, Rad, Navid, Rados, Petar, Ritter, Martin, Rizzo, Giuliana, Rostomyan, Armine, Scavino, Bianca, Schlüter, Tobias, Schwenker, Benjamin, Spataro, Stefano, Spruck, Björn, Svidras, Henrikas, Tenchini, Francesco, Uematsu, Yuma, Webb, James, Wessel, Christian, and Zani, Laura

Published
2021
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5. B2BII: Data Conversion from Belle to Belle II

Author

Gelb, Moritz, Keck, Thomas, Prim, Markus, Atmacan, Hulya, Gemmler, Jochen, Itoh, Ryosuke, Kronenbitter, Bastian, Kuhr, Thomas, Lubej, Matic, Metzner, Felix, Park, Chanseok, Park, Seokhee, Pulvermacher, Christian, Ritter, Martin, and Zupanc, Anze

Published
2018
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7. The track finding algorithm of the Belle II vertex detectors

Author

Bilka Tadeas, Braun Nils, Casarosa Giulia, Frost Oliver, Frühwirth Rudolf, Hauth Thomas, Heck Martin, Kandra Jakub, Kodys Peter, Kvasnicka Peter, Lettenbichler Jakob, Lück Thomas, Madlener Thomas, Metzner Felix, Nadler Moritz, Oberhof Benjamin, Paoloni Eugenio, Prim Markus, Ritter Martin, Schlüter Tobias, Schnell Michael, Spruck Bjoern, Trusov Viktor, Wagner Jonas, Wessel Christian, and Ziegler Michael

Subjects
Physics, QC1-999
Abstract

The Belle II experiment is a high energy multi purpose particle detector operated at the asymmetric e+e− - collider SuperKEKB in Tsukuba (Japan). In this work we describe the algorithm performing the pattern recognition for inner tracking detector which consists of two layers of pixel detectors and four layers of double sided silicon strip detectors arranged around the interaction region. The track finding algorithm will be used both during the High Level Trigger on-line track reconstruction and during the off-line full reconstruction. It must provide good efficiency down to momenta as low as 50 MeV/c where material effects are sizeable even in an extremely thin detector as the VXD. In addition it has to be able to cope with the high occupancy of the Belle II detectors due to the background. The underlying concept of the track finding algorithm, as well as details of the implementation are outlined. The algorithm is proven to run with good performance on simulated ϒ(4S) → BB̄ events with an efficiency for reconstructing tracks of above 90% over a wide range of momentum.

Published
2017
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