東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Nuclear track detectors." ]

切換: 標籤 | MARC模式 | ISBD

Pattern recognition, tracking and ve...

Fruhwirth, Rudolf.

FindBook

Google Book

Amazon

博客來

Pattern recognition, tracking and vertex reconstruction in particle detectors

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pattern recognition, tracking and vertex reconstruction in particle detectors/ by Rudolf Fruhwirth, Are Strandlie.
作者:	Fruhwirth, Rudolf.
其他作者:	Strandlie, Are.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xvii, 203 p. :ill., digital ;24 cm.
內容註:	Part 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.
Contained By:	Springer Nature eBook
標題:	Nuclear track detectors. -
電子資源:	https://doi.org/10.1007/978-3-030-65771-0
ISBN:	9783030657710

Pattern recognition, tracking and vertex reconstruction in particle detectors
Fruhwirth, Rudolf.

Pattern recognition, tracking and vertex reconstruction in particle detectors[electronic resource] /by Rudolf Fruhwirth, Are Strandlie. - Cham :Springer International Publishing :2021. - xvii, 203 p. :ill., digital ;24 cm. - Particle acceleration and detection,1611-1052. - Particle acceleration and detection..

Part 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.

Open access.

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.

ISBN: 9783030657710

Standard No.: 10.1007/978-3-030-65771-0doiSubjects--Topical Terms:

1002865
Nuclear track detectors.

LC Class. No.: QC787.N83

Dewey Class. No.: 539.77

Pattern recognition, tracking and vertex reconstruction in particle detectors
LDR:02577nmm a2200349 a 4500 001 2238570
003 DE-He213
005 20210617091243.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030657710 $q (electronic bk.)
020 $a 9783030657703 $q (paper)
024 7 $a 10.1007/978-3-030-65771-0 $2 doi
035 $a 978-3-030-65771-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QC787.N83
072 7 $a PHP $2 bicssc
072 7 $a SCI051000 $2 bisacsh
072 7 $a PHP $2 thema
082 0 4 $a 539.77 $2 23
090 $a QC787.N83 $b F944 2021
100 1 $a Fruhwirth, Rudolf. $3 3491802
245 1 0 $a Pattern recognition, tracking and vertex reconstruction in particle detectors $h [electronic resource] / $c by Rudolf Fruhwirth, Are Strandlie.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xvii, 203 p. : $b ill., digital ; $c 24 cm.
490 1 $a Particle acceleration and detection, $x 1611-1052
505 0 $a Part 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 $a Open access.
520 $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.
650 0 $a Nuclear track detectors. $3 1002865
650 0 $a Vertex detectors. $3 3381587
650 0 $a Particle accelerators. $3 705332
650 1 4 $a Particle Acceleration and Detection, Beam Physics. $3 893987
650 2 4 $a Measurement Science and Instrumentation. $3 1066390
650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Numerical and Computational Physics, Simulation. $3 2209853
700 1 $a Strandlie, Are. $3 3491803
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Particle acceleration and detection. $3 2068722
856 4 0 $u https://doi.org/10.1007/978-3-030-65771-0
950 $a Physics and Astronomy (SpringerNature-11651)