ICALEPCS2017 - List of Authors (Khakhulin, D.)

Paper	Title	Page
TUCPA01	Data Analysis Support in Karabo at European XFEL	245
	H. Fangohr, M. Beg, V. Bondar, D. Boukhelef, S. Brockhauser, C. Danilevski, W. Ehsan, S.G. Esenov, G. Flucke, G. Giovanetti, D. Goeries, S. Hauf, B.C. Heisen, D.G. Hickin, D. Khakhulin, A. Klimovskaia, M. Kuster, P.M. Lang, L.G. Maia, L. Mekinda, T. Michelat, A. Parenti, G. Previtali, H. Santos, A. Silenzi, J. Sztuk-Dambietz, J. Szuba, M. Teichmann, K. Weger, J. Wiggins, K. Wrona, C. Xu XFEL. EU, Schenefeld, Germany S. Aplin, A. Barty, M. Kuhn, V. Mariani CFEL, Hamburg, Germany T. Kluyver University of Southampton, Southampton, United Kingdom
	We describe the data analysis structure that is integrated into the Karabo framework [1] to support scientific experiments and data analysis at European XFEL GmbH. The photon science experiments have a range of data analysis requirements, including online (i.e. near real-time during the actual measurement) and offline data analysis. The Karabo data analysis framework supports execution of automatic data analysis for routine tasks, supports complex experiment protocols including data analysis feedback integration to instrument control, and supports integration of external applications. The online data analysis is carried out using distributed and accelerator hardware (such as GPUs) where required to balance load and achieve near real-time data analysis throughput. Analysis routines provided by Karabo are implemented in C++ and Python, and make use of established scientific libraries. The XFEL control and analysis software team collaborates with users to integrate experiment specific analysis codes, protocols and requirements into this framework, and to make it available for the experiments and subsequent offline data analysis. [1] Heisen et al (2013) "Karabo: An Integrated Software Framework Combining Control, Data Management, and Scientific Computing Tasks". Proc. of 14th ICALEPCS 2013, Melbourne, Australia (p. FRCOAAB02)
	Slides TUCPA01 [10.507 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUCPA01
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Data Analysis Support in Karabo at European XFEL

245

H. Fangohr, M. Beg, V. Bondar, D. Boukhelef, S. Brockhauser, C. Danilevski, W. Ehsan, S.G. Esenov, G. Flucke, G. Giovanetti, D. Goeries, S. Hauf, B.C. Heisen, D.G. Hickin, D. Khakhulin, A. Klimovskaia, M. Kuster, P.M. Lang, L.G. Maia, L. Mekinda, T. Michelat, A. Parenti, G. Previtali, H. Santos, A. Silenzi, J. Sztuk-Dambietz, J. Szuba, M. Teichmann, K. Weger, J. Wiggins, K. Wrona, C. Xu
XFEL. EU, Schenefeld, Germany
S. Aplin, A. Barty, M. Kuhn, V. Mariani
CFEL, Hamburg, Germany
T. Kluyver
University of Southampton, Southampton, United Kingdom

We describe the data analysis structure that is integrated into the Karabo framework [1] to support scientific experiments and data analysis at European XFEL GmbH. The photon science experiments have a range of data analysis requirements, including online (i.e. near real-time during the actual measurement) and offline data analysis. The Karabo data analysis framework supports execution of automatic data analysis for routine tasks, supports complex experiment protocols including data analysis feedback integration to instrument control, and supports integration of external applications. The online data analysis is carried out using distributed and accelerator hardware (such as GPUs) where required to balance load and achieve near real-time data analysis throughput. Analysis routines provided by Karabo are implemented in C++ and Python, and make use of established scientific libraries. The XFEL control and analysis software team collaborates with users to integrate experiment specific analysis codes, protocols and requirements into this framework, and to make it available for the experiments and subsequent offline data analysis.
[1] Heisen et al (2013) "Karabo: An Integrated Software Framework Combining Control, Data Management, and Scientific Computing Tasks". Proc. of 14th ICALEPCS 2013, Melbourne, Australia (p. FRCOAAB02)

Slides TUCPA01 [10.507 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUCPA01

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)