000 03730nam a22006015i 4500
001 978-3-030-65771-0
003 DE-He213
005 20220530131631.0
007 cr nn 008mamaa
008 210226s2021 sz | s |||| 0|eng d
020 _a9783030657710
_9978-3-030-65771-0
024 7 _a10.1007/978-3-030-65771-0
_2doi
072 7 _aPHP
_2bicssc
072 7 _aSCI051000
_2bisacsh
072 7 _aPHP
_2thema
082 0 4 _a539.73
_223
100 1 _aFrühwirth, Rudolf.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aPattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors
_h[electronic resource] /
_cby Rudolf Frühwirth, Are Strandlie.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXVII, 203 páginas86 ilustraciones, 39 ilustraciones in color.
_bonline resource.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aParticle Acceleration and Detection,
_x2365-0877
505 0 _aPart 1. Introduction -- Chapter 1. Tracking Detectors -- Chapter 2. Event Reconstruction -- Chapter 3. Statistics and Numerical Methods -- Part 2. Track Reconstruction -- Chapter 4. Track Models -- Chapter 5. Track Finding -- Chapter 6. Track Fitting -- Part 3. Vertex Reconstruction -- Chapter 7. Vertex Finding -- Chapter 8. Vertex Fitting -- Chapter 9. Secondary Vertex Reconstruction -- Part 4. Case Studies -- Chapter 10. LHC Experiments.
506 0 _aOpen Access
520 _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. .
650 0 _aParticle accelerators.
650 0 _aMeasurement.
650 0 _aMeasuring instruments.
650 0 _aPattern recognition systems.
650 0 _aMathematical physics.
650 1 4 _aAccelerator Physics.
650 2 4 _aMeasurement Science and Instrumentation.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aTheoretical, Mathematical and Computational Physics.
700 1 _aStrandlie, Are.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030657703
776 0 8 _iPrinted edition:
_z9783030657727
776 0 8 _iPrinted edition:
_z9783030657734
830 0 _aParticle Acceleration and Detection,
_x2365-0877
856 4 0 _uhttps://doi.org/10.1007/978-3-030-65771-0
912 _aZDB-2-PHA
912 _aZDB-2-SXP
912 _aZDB-2-SOB
999 _c153096
_d153096