Home > Publications database > Efficient Analysis of Test-beam Data with the Corryvreckan Framework > print |
001 | 472251 | ||
005 | 20250724175826.0 | ||
024 | 7 | _ | |a 10.7566/JPSCP.34.010024 |2 doi |
024 | 7 | _ | |a 10.3204/PUBDB-2021-04950 |2 datacite_doi |
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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 |2 DRIVER |
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336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1666183352_16133 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
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 |
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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 |4 G:(DE-HGF)POF |v Data Management and Analysis |x 0 |
914 | 1 | _ | |y 2021 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
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 |
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980 | _ | _ | |a UNRESTRICTED |
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980 | _ | _ | |a I:(DE-H253)ATLAS-20120731 |
980 | 1 | _ | |a FullTexts |
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