Contribution to a conference proceedings/Contribution to a book

PUBDB-2021-04950

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Efficient Analysis of Test-beam Data with the Corryvreckan Framework

Kröger, J. (Corresponding author) ; Huth, L.

2021
Journal of the Physical Society of Japan

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Please use a persistent id in citations: doi:10.7566/JPSCP.34.010024  doi:10.3204/PUBDB-2021-04950

Abstract: 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.

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Contributing Institute(s):

1. Detector RD at DESY Test beam (FHTestBeam)
2. LHC/ATLAS Experiment (ATLAS)

Research Program(s):

1. 623 - Data Management and Analysis (POF4-623) (POF4-623)

Experiment(s):

1. DESY: TestBeamline 21 (DESY II)

Appears in the scientific report 2021

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