PvaPy streaming framework for real-time data processing

User facility upgrades, new measurement techniques, advances in data analysis algorithms as well as advances in detector capabilities result in an increasing amount of data collected at X-ray beamlines. Some of these data must be analyzed and reconstructed on demand to help execute experiments dynam...

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Veröffentlicht in:	Journal of synchrotron radiation Jg. 32; H. 3; S. 823 - 836
Hauptverfasser:	Veseli, Siniša, Hammonds, John, Henke, Steven, Parraga, Hannah, Frosik, Barbara, Schwarz, Nicholas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States John Wiley & Sons, Inc 01.05.2025 International Union of Crystallography (IUCr) International Union of Crystallography
Schlagworte:	Computation Computer Programs computing frameworks Data analysis Data processing data streaming epics pvaccess pvapy python applications real-time data processing data streaming PvaPy EPICS pvAccess Python applications computing frameworks real-time data processing
ISSN:	1600-5775, 0909-0495, 1600-5775
Online-Zugang:	Volltext
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