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Tesla : an application for real-time data analysis in high energy physics

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Aaij, R., Amato, S., Anderlini, L., Benson, S., Cattaneo, M., Clemencic, M., Couturier, B., Frank, M., Gligorov, V.V., Head, T. et al.
(2016) Tesla : an application for real-time data analysis in high energy physics. Computer Physics Communications, 208 . pp. 35-42. doi:10.1016/j.cpc.2016.07.022

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Official URL: http://dx.doi.org/10.1016/j.cpc.2016.07.022

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Abstract

Upgrades to the LHCb computing infrastructure in the first long shutdown of the LHC have allowed for high quality decay information to be calculated by the software trigger making a separate offline event reconstruction unnecessary. Furthermore, the storage space of the triggered candidate is an order of magnitude smaller than the entire raw event that would otherwise need to be persisted. Tesla is an application designed to process the information calculated by the trigger, with the resulting output used to directly perform physics measurements.

Item Type: Journal Article
Divisions: Faculty of Science > Physics
Journal or Publication Title: Computer Physics Communications
Publisher: Elsevier Science BV
ISSN: 0010-4655
Official Date: November 2016
Dates:
DateEvent
2 May 2016Accepted
17 July 2016Available
November 2016Published
Volume: 208
Page Range: pp. 35-42
DOI: 10.1016/j.cpc.2016.07.022
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access

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