LEADER 03691nam 22007693 450 001 9910473458503321 005 20231110225614.0 010 $a3-030-65771-X 035 $a(CKB)4100000011781569 035 $a(MiAaPQ)EBC6509884 035 $a(Au-PeEL)EBL6509884 035 $a(OCoLC)1240210729 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/64081 035 $a(PPN)253859204 035 $a(EXLCZ)994100000011781569 100 $a20210901d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors 210 $cSpringer Nature$d2021 210 1$aCham :$cSpringer International Publishing AG,$d2021. 210 4$dİ2021. 215 $a1 online resource (208 pages) 225 1 $aParticle Acceleration and Detection 311 $a3-030-65770-1 330 $aThis open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments. 410 0$aParticle Acceleration and Detection 606 $aParticle & high-energy physics$2bicssc 606 $aMensuration & systems of measurement$2bicssc 606 $aPattern recognition$2bicssc 606 $aMathematical physics$2bicssc 610 $aParticle Acceleration and Detection, Beam Physics 610 $aMeasurement Science and Instrumentation 610 $aPattern Recognition 610 $aNumerical and Computational Physics, Simulation 610 $aAccelerator Physics 610 $aAutomated Pattern Recognition 610 $aTheoretical, Mathematical and Computational Physics 610 $aEvent reconstruction 610 $aTracking detectors in High Energy Physics 610 $aVertex reconstruction 610 $aClustering algorithms 610 $aExperimental High-Energy Physics 610 $aLHC 610 $aCalolimator for pattern recognition 610 $aVertex of particle collision 610 $aTriggering event and data analysis 610 $aOpen access 610 $aParticle & high-energy physics 610 $aScientific standards, measurement etc 610 $aMathematical physics 615 7$aParticle & high-energy physics 615 7$aMensuration & systems of measurement 615 7$aPattern recognition 615 7$aMathematical physics 700 $au?hwirth$b Rudolf$01023233 701 $aStrandlie$b Are$01023234 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910473458503321 996 $aPattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors$92430795 997 $aUNINA