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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| Vydané v: | Journal of synchrotron radiation Ročník 32; číslo 3; s. 823 - 836 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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United States
John Wiley & Sons, Inc
01.05.2025
International Union of Crystallography (IUCr) International Union of Crystallography |
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| ISSN: | 1600-5775, 0909-0495, 1600-5775 |
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| Abstract | 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 dynamically and modify them in real time. In turn, this requires a computing framework for real-time processing capable of moving data quickly from the detector to local or remote computing resources, processing data, and returning results to users. In this paper, we discuss the streaming framework built on top of PvaPy , a Python API for the EPICS pvAccess protocol. We describe the framework architecture and capabilities, and discuss scientific use cases and applications that benefit from streaming workflows implemented on top of this framework. We also illustrate the framework's performance in terms of achievable data-processing rates for various detector image sizes. |
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| AbstractList | 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 dynamically and modify them in real time. In turn, this requires a computing framework for real-time processing capable of moving data quickly from the detector to local or remote computing resources, processing data, and returning results to users. In this paper, we discuss the streaming framework built on top of PvaPy , a Python API for the EPICS pvAccess protocol. We describe the framework architecture and capabilities, and discuss scientific use cases and applications that benefit from streaming workflows implemented on top of this framework. We also illustrate the framework's performance in terms of achievable data-processing rates for various detector image sizes. 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 dynamically and modify them in real time. In turn, this requires a computing framework for real‐time processing capable of moving data quickly from the detector to local or remote computing resources, processing data, and returning results to users. In this paper, we discuss the streaming framework built on top of PvaPy, a Python API for the EPICS pvAccess protocol. We describe the framework architecture and capabilities, and discuss scientific use cases and applications that benefit from streaming workflows implemented on top of this framework. We also illustrate the framework's performance in terms of achievable data‐processing rates for various detector image sizes. 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 dynamically and modify them in real time. In turn, this requires a computing framework for real-time processing capable of moving data quickly from the detector to local or remote computing resources, processing data, and returning results to users. In this paper, we discuss the streaming framework built on top of PvaPy, a Python API for the EPICS pvAccess protocol. We describe the framework architecture and capabilities, and discuss scientific use cases and applications that benefit from streaming workflows implemented on top of this framework. We also illustrate the framework's performance in terms of achievable data-processing rates for various detector image sizes.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 dynamically and modify them in real time. In turn, this requires a computing framework for real-time processing capable of moving data quickly from the detector to local or remote computing resources, processing data, and returning results to users. In this paper, we discuss the streaming framework built on top of PvaPy, a Python API for the EPICS pvAccess protocol. We describe the framework architecture and capabilities, and discuss scientific use cases and applications that benefit from streaming workflows implemented on top of this framework. We also illustrate the framework's performance in terms of achievable data-processing rates for various detector image sizes. 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 dynamically and modify them in real time. In turn, this requires a computing framework for real-time processing capable of moving data quickly from the detector to local or remote computing resources, processing data, and returning results to users. In this paper, we discuss the streaming framework built on top of PvaPy , a Python API for the EPICS pvAccess protocol. We describe the framework architecture and capabilities, and discuss scientific use cases and applications that benefit from streaming workflows implemented on top of this framework. We also illustrate the framework's performance in terms of achievable data-processing rates for various detector image sizes. A computing framework for real-time analysis of X-ray detector data streamed directly to Python applications via the EPICS pvAccess protocol is described. 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 dynamically and modify them in real time. In turn, this requires a computing framework for real-time processing capable of moving data quickly from the detector to local or remote computing resources, processing data, and returning results to users. In this paper, we discuss the streaming framework built on top of PvaPy, a Python API for the EPICS pvAccess protocol. We describe the framework architecture and capabilities, and discuss scientific use cases and applications that benefit from streaming workflows implemented on top of this framework. We also illustrate the framework’s performance in terms of achievable data-processing rates for various detector image sizes. |
| Author | Hammonds, John Veseli, Siniša Parraga, Hannah Henke, Steven Frosik, Barbara Schwarz, Nicholas |
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| Copyright | open access. 2025. This work is published under Creative Commons Attribution License~https://creativecommons.org/licenses/by/3.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Siniša Veseli et al. 2025 2025 |
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| References_xml | – ident: yn5121_bb21 doi: 10.1145/3624062.3624612 – ident: yn5121_bb25 – volume: 293 start-page: 352 year: 1990 ident: yn5121_bb17 publication-title: Nucl. Instrum. Methods Phys. Res. A doi: 10.1016/0168-9002(90)91459-O – ident: yn5121_bb31 – ident: yn5121_bb33 – ident: yn5121_bb35 – ident: yn5121_bb8 – volume: 30 start-page: 137 year: 2023 ident: yn5121_bb39 publication-title: J. Synchrotron Rad. doi: 10.1107/S1600577522011274 – ident: yn5121_bb4 – volume: 45 start-page: 705 year: 2012 ident: yn5121_bb27 publication-title: J. Appl. Cryst. doi: 10.1107/S0021889812025599 – ident: yn5121_bb40 doi: 10.1007/978-3-031-47718-8_34 – ident: yn5121_bb346 – volume: 50 start-page: 395 year: 2020 ident: yn5121_bb2 publication-title: Annu. Rev. Mater. Res. doi: 10.1146/annurev-matsci-070616-124125 – ident: yn5121_bb14 – ident: yn5121_bb10 – ident: yn5121_bb22 – volume: 8 start-page: 291 year: 2009 ident: yn5121_bb23 publication-title: Nat. Mater. doi: 10.1038/nmat2400 – ident: yn5121_bb28 – ident: yn5121_bb24 – ident: yn5121_bb30 – ident: yn5121_bb18 doi: 10.1109/XLOOP54565.2021.00008 – volume: 117 start-page: 044103 year: 2020 ident: yn5121_bb6 publication-title: Appl. Phys. Lett. doi: 10.1063/5.0013065 – ident: yn5121_bb7 doi: 10.1145/3502181.3531475 – volume: 9 start-page: 104 year: 2022 ident: yn5121_bb19 publication-title: IUCrJ doi: 10.1107/S2052252521011258 – ident: yn5121_bb32 – volume: 25 start-page: 1574 year: 2018 ident: yn5121_bb38 publication-title: J. Synchrotron Rad. doi: 10.1107/S1600577518010056 – volume: 29 start-page: 816 year: 2022 ident: yn5121_bb20 publication-title: J. Synchrotron Rad. doi: 10.1107/S1600577522003095 – ident: yn5121_bb34 – ident: yn5121_bb37 doi: 10.1145/3624062.3624610 – ident: yn5121_bb36 – volume: 14 start-page: 7059 year: 2023 ident: yn5121_bb1 publication-title: Nat. Commun. doi: 10.1038/s41467-023-41496-z – ident: yn5121_bb5 – volume: 65 start-page: 1202 year: 2013 ident: yn5121_bb15 publication-title: JOM doi: 10.1007/s11837-013-0682-4 – volume: 45 start-page: 693 year: 2012 ident: yn5121_bb26 publication-title: J. Appl. Cryst. doi: 10.1107/S0021889812025563 – volume: 15 start-page: 70 year: 2011 ident: yn5121_bb13 publication-title: IEEE Internet Comput. doi: 10.1109/MIC.2011.64 – volume: 352 start-page: 179 year: 1994 ident: yn5121_bb9 publication-title: Nucl. Instrum. Methods Phys. Res. A doi: 10.1016/0168-9002(94)91493-1 |
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