000873719 001__ 873719
000873719 005__ 20210130004509.0
000873719 0247_ $$2arXiv$$aarXiv:1902.04405
000873719 0247_ $$2Handle$$a2128/24287
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000873719 037__ $$aFZJ-2020-00940
000873719 041__ $$aEnglish
000873719 1001_ $$0P:(DE-HGF)0$$aBilka, Tadeas$$b0
000873719 245__ $$aImplementation of GENFIT2 as an experiment independent track-fitting framework
000873719 260__ $$c2019
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000873719 500__ $$a41 pages 24 figures, 1 table. Paper submitted to NIM
000873719 520__ $$aThe GENFIT toolkit, initially developed at the Technische Universitaet Muenchen, has been extended and modified to be more general and user-friendly. The new GENFIT, called GENFIT2, provides track representation, track-fitting algorithms and graphic visualization of tracks and detectors, and it can be used for any experiment that determines parameters of charged particle trajectories from spacial coordinate measurements. Based on general Kalman filter routines, it can perform extrapolations of track parameters and covariance matrices. It also provides interfaces to Millepede II for alignment purposes, and RAVE for the vertex finder. Results of an implementation of GENFIT2 in basf2 and PandaRoot software frameworks are presented here.
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000873719 7001_ $$0P:(DE-HGF)0$$aBraun, Nils$$b1
000873719 7001_ $$0P:(DE-HGF)0$$aHauth, Thomas$$b2
000873719 7001_ $$0P:(DE-HGF)0$$aKuhr, Thomas$$b3
000873719 7001_ $$0P:(DE-HGF)0$$aLavezzi, Lia$$b4
000873719 7001_ $$0P:(DE-HGF)0$$aMetzner, Felix$$b5
000873719 7001_ $$0P:(DE-HGF)0$$aPaul, Stephan$$b6
000873719 7001_ $$0P:(DE-Juel1)156553$$aPrencipe, Elisabetta$$b7$$eCorresponding author$$ufzj
000873719 7001_ $$0P:(DE-HGF)0$$aPrim, Markus$$b8
000873719 7001_ $$0P:(DE-HGF)0$$aRauch, Johannes$$b9
000873719 7001_ $$0P:(DE-Juel1)131301$$aRitman, James$$b10$$eCorresponding author$$ufzj
000873719 7001_ $$0P:(DE-HGF)0$$aSchlueter, Tobias$$b11
000873719 7001_ $$0P:(DE-HGF)0$$aSpataro, Stefano$$b12
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