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

Aaij, R. 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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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:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Spradlin, Dr Patrick
Authors: Aaij, R., Amato, S., Anderlini, L., Benson, S., Cattaneo, M., Clemencic, M., Couturier, B., Frank, M., Gligorov, V.V., Head, T., Jones, C., Komarov, I., Lupton, O., Matev, R., Raven, G., Sciascia, B., Skwarnicki, T., Spradlin, P., Stahl, S., Storaci, B., and Vesterinen, M.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Computer Physics Communications
Publisher:Elsevier
ISSN:0010-4655
Published Online:17 July 2016
Copyright Holders:Copyright © 2016 Elsevier B.V.
First Published:First published in Computer Physics Communications 208: 35-62
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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