Streaming readout for next generation electron scattering experiments
Abstract Current and future experiments at the high-intensity frontier are expected to produce an enormous amount of data that needs to be collected and stored for offline analysis. Thanks to the continuous progress in computing and networking technology, it is now possible to replace...
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2022
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| Online Access: | https://hdl.handle.net/1721.1/144434 |
| _version_ | 1826212333746126848 |
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| author | Ameli, Fabrizio Battaglieri, Marco Berdnikov, Vladimir V. Bondí, Mariangela Boyarinov, Sergey Brei, Nathan Celentano, Andrea Cappelli, Laura Chiarusi, Tommaso De Vita, Raffaella Fanelli, Cristiano Gyurjyan, Vardan Lawrence, David Moran, Patrick Musico, Paolo Pellegrino, Carmelo Pilloni, Alessandro Raydo, Ben Timmer, Carl Ungaro, Maurizio |
| author2 | Massachusetts Institute of Technology. Laboratory for Nuclear Science |
| author_facet | Massachusetts Institute of Technology. Laboratory for Nuclear Science Ameli, Fabrizio Battaglieri, Marco Berdnikov, Vladimir V. Bondí, Mariangela Boyarinov, Sergey Brei, Nathan Celentano, Andrea Cappelli, Laura Chiarusi, Tommaso De Vita, Raffaella Fanelli, Cristiano Gyurjyan, Vardan Lawrence, David Moran, Patrick Musico, Paolo Pellegrino, Carmelo Pilloni, Alessandro Raydo, Ben Timmer, Carl Ungaro, Maurizio |
| author_sort | Ameli, Fabrizio |
| collection | MIT |
| description | Abstract
Current and future experiments at the high-intensity frontier are expected to produce an enormous amount of data that needs to be collected and stored for offline analysis. Thanks to the continuous progress in computing and networking technology, it is now possible to replace the standard ‘triggered’ data acquisition systems with a new, simplified and outperforming scheme. ‘Streaming readout’ (SRO) DAQ aims to replace the hardware-based trigger with a much more powerful and flexible software-based one, that considers the whole detector information for efficient real-time data tagging and selection. Considering the crucial role of DAQ in an experiment, validation with on-field tests is required to demonstrate SRO performance. In this paper, we report results of the on-beam validation of the Jefferson Lab SRO framework. We exposed different detectors (PbWO-based electromagnetic calorimeters and a plastic scintillator hodoscope) to the Hall-D electron-positron secondary beam and to the Hall-B production electron beam, with increasingly complex experimental conditions. By comparing the data collected with the SRO system against the traditional DAQ, we demonstrate that the SRO performs as expected. Furthermore, we provide evidence of its superiority in implementing sophisticated AI-supported algorithms for real-time data analysis and reconstruction. |
| first_indexed | 2024-09-23T15:20:03Z |
| format | Article |
| id | mit-1721.1/144434 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:20:03Z |
| publishDate | 2022 |
| publisher | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | mit-1721.1/1444342023-09-02T04:21:35Z Streaming readout for next generation electron scattering experiments Ameli, Fabrizio Battaglieri, Marco Berdnikov, Vladimir V. Bondí, Mariangela Boyarinov, Sergey Brei, Nathan Celentano, Andrea Cappelli, Laura Chiarusi, Tommaso De Vita, Raffaella Fanelli, Cristiano Gyurjyan, Vardan Lawrence, David Moran, Patrick Musico, Paolo Pellegrino, Carmelo Pilloni, Alessandro Raydo, Ben Timmer, Carl Ungaro, Maurizio Massachusetts Institute of Technology. Laboratory for Nuclear Science Abstract Current and future experiments at the high-intensity frontier are expected to produce an enormous amount of data that needs to be collected and stored for offline analysis. Thanks to the continuous progress in computing and networking technology, it is now possible to replace the standard ‘triggered’ data acquisition systems with a new, simplified and outperforming scheme. ‘Streaming readout’ (SRO) DAQ aims to replace the hardware-based trigger with a much more powerful and flexible software-based one, that considers the whole detector information for efficient real-time data tagging and selection. Considering the crucial role of DAQ in an experiment, validation with on-field tests is required to demonstrate SRO performance. In this paper, we report results of the on-beam validation of the Jefferson Lab SRO framework. We exposed different detectors (PbWO-based electromagnetic calorimeters and a plastic scintillator hodoscope) to the Hall-D electron-positron secondary beam and to the Hall-B production electron beam, with increasingly complex experimental conditions. By comparing the data collected with the SRO system against the traditional DAQ, we demonstrate that the SRO performs as expected. Furthermore, we provide evidence of its superiority in implementing sophisticated AI-supported algorithms for real-time data analysis and reconstruction. 2022-08-25T12:48:32Z 2022-08-25T12:48:32Z 2022-08-24 2022-08-25T03:28:23Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/144434 The European Physical Journal Plus. 2022 Aug 24;137(8):958 en https://doi.org/10.1140/epjp/s13360-022-03146-z Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg |
| spellingShingle | Ameli, Fabrizio Battaglieri, Marco Berdnikov, Vladimir V. Bondí, Mariangela Boyarinov, Sergey Brei, Nathan Celentano, Andrea Cappelli, Laura Chiarusi, Tommaso De Vita, Raffaella Fanelli, Cristiano Gyurjyan, Vardan Lawrence, David Moran, Patrick Musico, Paolo Pellegrino, Carmelo Pilloni, Alessandro Raydo, Ben Timmer, Carl Ungaro, Maurizio Streaming readout for next generation electron scattering experiments |
| title | Streaming readout for next generation electron scattering experiments |
| title_full | Streaming readout for next generation electron scattering experiments |
| title_fullStr | Streaming readout for next generation electron scattering experiments |
| title_full_unstemmed | Streaming readout for next generation electron scattering experiments |
| title_short | Streaming readout for next generation electron scattering experiments |
| title_sort | streaming readout for next generation electron scattering experiments |
| url | https://hdl.handle.net/1721.1/144434 |
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