Vertex and tracking detector R&amp;D for CLIC

Münker, Magdalena

doi:10.1016/j.nima.2020.164475

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…The framework has already been used in a number of different scenarios, such as the reconstruction of data recorded using the high-rate beam telescope of the CLIC detector & physics (CLICdp) collaboration at the CERN SPS [13,14], the analysis of test beam data from EUDET-type beam telescopes at the DESY II Test Beam Facility [15][16][17][18][19], the qualification of calorimeter modules with minimum ionising particles [20], and the reconstruction of silicon pixel detector simulations and their comparison to data [12].…”

Section: Introductionmentioning

confidence: 99%

Corryvreckan: a modular 4D track reconstruction and analysis software for test beam data

Dannheim¹,

Dort²,

Huth³

et al. 2021

J. Inst.

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Corryvreckan is a versatile, highly configurable software with a modular structure designed to reconstruct and analyse test beam and laboratory data. It caters to the needs of the test beam community by providing a flexible offline event building facility to combine detectors with different readout schemes, with or without trigger information, and includes the possibility to correlate data from multiple devices based on timestamps. Hit timing information, available with high precision from an increasing number of detectors, can be used in clustering and tracking to reduce combinatorics. Several algorithms, including an implementation of Millepede-II, are provided for offline alignment. A graphical user interface enables direct monitoring of the reconstruction progress and can be employed for quasi-online monitoring during data taking. This work introduces the Corryvreckan framework architecture and user interface, and provides a detailed overview of the event building algorithm. The reconstruction and analysis capabilities are demonstrated with data recorded at the DESY II Test Beam Facility using the EUDAQ2 data acquisition framework with an EUDET-type beam telescope, a Timepix3 timing reference, a fine-pitch planar silicon sensor with CLICpix2 readout and the AIDA Trigger Logic Unit. The individual steps of the reconstruction chain are presented in detail.

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Section: Introductionmentioning

confidence: 99%

Corryvreckan: a modular 4D track reconstruction and analysis software for test beam data

Dannheim¹,

Dort²,

Huth³

et al. 2021

J. Inst.

View full text Add to dashboard Cite

show abstract

“…It was initially developed within the CLIC Detector & Physics (CLICdp) collaboration [6,7] and is now employed and extended by a number of users and developers from different experiments supporting an increasing variety of sensor prototypes. A number of publications underline the versatility and the success of the framework [8][9][10][11][12][13][14][15]. Through its modularity, it aims to maximize synergies between different research groups by providing a reusable and extendable code basis and thus suppressing the need for numerous similar frameworks.…”

Section: Introductionmentioning

confidence: 99%

Efficient Analysis of Test-beam Data with the Corryvreckan Framework

Kröger

Huth

2021

Proceedings of the 29th International Workshop on Vertex Detectors (VERTEX2020)

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Stringent requirements are posed on the next generations of vertex and tracking detectors for highenergy 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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“…The framework has already been used in a number of different scenarios, such as the reconstruction of data recorded using the high-rate CLICdp beam telescope at the CERN SPS [13,14], the analysis of test beam data from EUDET-type beam telescopes at the DESY II Test Beam Facility [15][16][17][18][19], the qualification of calorimeter modules with minimum ionising particles [20], and the reconstruction of silicon pixel detector simulations [12].…”

Section: Introductionmentioning

confidence: 99%

Corryvreckan: A Modular 4D Track Reconstruction and Analysis Software for Test Beam Data

Dannheim,

Dort,

Huth

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Corryvreckan is a versatile, highly configurable software with a modular structure designed to reconstruct and analyse test beam and laboratory data. It caters to the needs of the test beam community by providing a flexible offline event building facility to combine detectors with different read-out schemes, with or without trigger information, and includes the possibility to correlate data from multiple devices based on timestamps.Hit timing information, available with high precision from an increasing number of detectors, can be used in clustering and tracking to reduce combinatorics. Several algorithms, including an implementation of Millepede-II, are provided for offline alignment. A graphical user interface enables direct monitoring of the reconstruction progress and can be employed for quasi-online monitoring during data taking.This work introduces the Corryvreckan framework architecture and user interface, and provides a detailed overview of the event building algorithm. The reconstruction and analysis capabilities are demonstrated with data recorded at the DESY II Test Beam Facility using the EUDAQ2 data acquisition framework with an EUDET-type beam telescope, a Timepix3 timing reference, a fine-pitch planar silicon sensor with CLICpix2 readout and the AIDA Trigger Logic Unit. The individual steps of the reconstruction chain are presented in detail. K: Software architectures (event data models, frameworks and databases); Analysis and statistical methods; Data processing methods; Pattern recognition, cluster finding, calibration and fitting methods; Solid state detectors

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Vertex and tracking detector R&D for CLIC

Cited by 5 publications

References 15 publications

Corryvreckan: a modular 4D track reconstruction and analysis software for test beam data

Corryvreckan: a modular 4D track reconstruction and analysis software for test beam data

Efficient Analysis of Test-beam Data with the Corryvreckan Framework

Corryvreckan: A Modular 4D Track Reconstruction and Analysis Software for Test Beam Data

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