Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.

This 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 fin...

Full description

Saved in:
Bibliographic Details
Superior document:Particle Acceleration and Detection
:
TeilnehmendeR:
Place / Publishing House:Cham : : Springer International Publishing AG,, 2021.
©2021.
Year of Publication:2021
Language:English
Series:Particle Acceleration and Detection
Physical Description:1 online resource (208 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993548665404498
ctrlnum (CKB)4100000011781569
(MiAaPQ)EBC6509884
(Au-PeEL)EBL6509884
(OCoLC)1240210729
(oapen)https://directory.doabooks.org/handle/20.500.12854/64081
(PPN)253859204
(EXLCZ)994100000011781569
collection bib_alma
record_format marc
spelling ühwirth, Rudolf.
Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
Springer Nature 2021
Cham : Springer International Publishing AG, 2021.
©2021.
1 online resource (208 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Particle Acceleration and Detection
Description based on publisher supplied metadata and other sources.
This 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.
English
Austrian Science Fund (FWF)
Particle & high-energy physics bicssc
Mensuration & systems of measurement bicssc
Pattern recognition bicssc
Mathematical physics bicssc
Particle Acceleration and Detection, Beam Physics
Measurement Science and Instrumentation
Pattern Recognition
Numerical and Computational Physics, Simulation
Accelerator Physics
Automated Pattern Recognition
Theoretical, Mathematical and Computational Physics
Event reconstruction
Tracking detectors in High Energy Physics
Vertex reconstruction
Clustering algorithms
Experimental High-Energy Physics
LHC
Calolimator for pattern recognition
Vertex of particle collision
Triggering event and data analysis
Open access
Particle & high-energy physics
Scientific standards, measurement etc
Mathematical physics
3-030-65770-1
Strandlie, Are.
language English
format eBook
author ühwirth, Rudolf.
spellingShingle ühwirth, Rudolf.
Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
Particle Acceleration and Detection
author_facet ühwirth, Rudolf.
Strandlie, Are.
author_variant r u ru
author2 Strandlie, Are.
author2_variant a s as
author2_role TeilnehmendeR
author_sort ühwirth, Rudolf.
title Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
title_full Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
title_fullStr Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
title_full_unstemmed Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
title_auth Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
title_new Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
title_sort pattern recognition, tracking and vertex reconstruction in particle detectors.
series Particle Acceleration and Detection
series2 Particle Acceleration and Detection
publisher Springer Nature
Springer International Publishing AG,
publishDate 2021
physical 1 online resource (208 pages)
isbn 3-030-65771-X
3-030-65770-1
callnumber-first Q - Science
callnumber-subject QC - Physics
callnumber-label QC1-75
callnumber-sort QC 11 275
illustrated Not Illustrated
oclc_num 1240210729
work_keys_str_mv AT uhwirthrudolf patternrecognitiontrackingandvertexreconstructioninparticledetectors
AT strandlieare patternrecognitiontrackingandvertexreconstructioninparticledetectors
status_str n
ids_txt_mv (CKB)4100000011781569
(MiAaPQ)EBC6509884
(Au-PeEL)EBL6509884
(OCoLC)1240210729
(oapen)https://directory.doabooks.org/handle/20.500.12854/64081
(PPN)253859204
(EXLCZ)994100000011781569
carrierType_str_mv cr
hierarchy_parent_title Particle Acceleration and Detection
is_hierarchy_title Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.
container_title Particle Acceleration and Detection
author2_original_writing_str_mv noLinkedField
_version_ 1795187704704532480
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03534nam a22007093i 4500</leader><controlfield tag="001">993548665404498</controlfield><controlfield tag="005">20231110225614.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">210901s2021 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3-030-65771-X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4100000011781569</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)EBC6509884</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL6509884</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1240210729</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/64081</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PPN)253859204</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994100000011781569</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QC1-75</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">ühwirth, Rudolf.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">Springer Nature</subfield><subfield code="c">2021</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham :</subfield><subfield code="b">Springer International Publishing AG,</subfield><subfield code="c">2021.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2021.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (208 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Particle Acceleration and Detection </subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This 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.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="536" ind1=" " ind2=" "><subfield code="a">Austrian Science Fund (FWF)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Particle &amp; high-energy physics</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mensuration &amp; systems of measurement</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Pattern recognition</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mathematical physics</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Particle Acceleration and Detection, Beam Physics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Measurement Science and Instrumentation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Pattern Recognition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Numerical and Computational Physics, Simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Accelerator Physics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Automated Pattern Recognition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Theoretical, Mathematical and Computational Physics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Event reconstruction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Tracking detectors in High Energy Physics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Vertex reconstruction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Clustering algorithms</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Experimental High-Energy Physics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">LHC</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Calolimator for pattern recognition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Vertex of particle collision</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Triggering event and data analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Open access</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Particle &amp; high-energy physics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Scientific standards, measurement etc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Mathematical physics</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-030-65770-1</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Strandlie, Are.</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Particle Acceleration and Detection </subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-11-11 06:56:52 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2021-03-13 22:06:10 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5338882110004498&amp;Force_direct=true</subfield><subfield code="Z">5338882110004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338882110004498</subfield></datafield></record></collection>