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024 7 _ |a 10.7566/JPSCP.34.010024
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024 7 _ |a 10.3204/PUBDB-2021-04950
|2 datacite_doi
024 7 _ |a openalex:W3170680606
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037 _ _ |a PUBDB-2021-04950
041 _ _ |a English
100 1 _ |a Kröger, Jens
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
111 2 _ |a International Workshop on Vertex Detectors
|g VERTEX2020
|c Tsukuba
|d 2020-10-05 - 2020-10-08
|w Japan (Online)
245 _ _ |a Efficient Analysis of Test-beam Data with the Corryvreckan Framework
260 _ _ |c 2021
|b Journal of the Physical Society of Japan
295 1 0 |a Proceedings of the 29th International Workshop on Vertex Detectors (VERTEX2020) - Journal of the Physical Society of Japan, 2021. - ISBN 4-89027-147-3 - doi:10.7566/JPSCP.34.010024
300 _ _ |a 010024
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
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336 7 _ |a Output Types/Conference Paper
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336 7 _ |a Contribution to a conference proceedings
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|m contrib
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|2 PUB:(DE-HGF)
336 7 _ |a Contribution to a book
|0 PUB:(DE-HGF)7
|2 PUB:(DE-HGF)
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490 0 _ |a JPS Conference Proceedings
|v 34
520 _ _ |a Stringent requirements are posed on the next generations of vertex and tracking detectors for high-energy physics experiments to reach the foreseen physics goals. A large variety of silicon pixel sensors targeting the specific needs of each use case are developed and tested both in laboratory and test-beam measurement campaigns. Corryvreckan is a flexible, fast and lightweight test-beam data reconstruction and analysis framework based on a modular concept of the reconstruction chain. It is designed to fulfil the requirements for offline event building in complex data-taking environments combining detectors with different readout schemes. Its modular architecture separates the framework core from the implementation of reconstruction, analysis and detector specific algorithms. In this paper, a brief overview of the software framework and the reconstruction and analysis chain is provided. This is complemented by an example analysis of a data set using the offline event building capabilities of the framework and an improved event building scheme allowing for a more efficient usage of test-beam data exploiting the pivot pixel information of the Mimosa26 sensors.
536 _ _ |a 623 - Data Management and Analysis (POF4-623)
|0 G:(DE-HGF)POF4-623
|c POF4-623
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef Conference
693 _ _ |a DESY II
|f DESY: TestBeamline 21
|1 EXP:(DE-H253)DESYII-20150101
|0 EXP:(DE-H253)TestBeamline21-20150101
|6 EXP:(DE-H253)TestBeamline21-20150101
|x 0
700 1 _ |a Huth, Lennart
|b 1
773 _ _ |a 10.7566/JPSCP.34.010024
856 4 _ |y OpenAccess
|u https://bib-pubdb1.desy.de/record/472251/files/jpscp.34.010024.pdf
856 4 _ |y OpenAccess
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909 C O |o oai:bib-pubdb1.desy.de:472251
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910 1 _ |a CERN
|0 I:(DE-HGF)0
|b 0
|6 P:(DE-HGF)0
913 1 _ |a DE-HGF
|b Forschungsbereich Materie
|l Matter and Technologies
|1 G:(DE-HGF)POF4-620
|0 G:(DE-HGF)POF4-623
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-600
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|v Data Management and Analysis
|x 0
914 1 _ |y 2021
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
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915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
920 1 _ |0 I:(DE-H253)FHTestBeam-20150203
|k FHTestBeam
|l Detector RD at DESY Test beam
|x 0
920 1 _ |0 I:(DE-H253)ATLAS-20120731
|k ATLAS
|l LHC/ATLAS Experiment
|x 1
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a contb
980 _ _ |a I:(DE-H253)FHTestBeam-20150203
980 _ _ |a I:(DE-H253)ATLAS-20120731
980 1 _ |a FullTexts


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