Tesla: An application for real-time data analysis in High Energy Physics

R. Aaij; S. Amato; L. Anderlini; S. Benson; M. Cattaneo; M. Clemencic; B. Couturier; M. Frank; V. V. Gligorov; T. Head; C. Jones; I. Komarov; O. Lupton; R. Matev; G. Raven; B. Sciascia; T. Skwarnicki; P. Spradlin; S. Stahl; B. Storaci; M. Vesterinen

doi:10.1016/j.cpc.2016.07.022

Tesla: An application for real-time data analysis in High Energy Physics

R. Aaij, S. Amato, L. Anderlini, S. Benson, M. Cattaneo, M. Clemencic, B. Couturier, M. Frank, V. V. Gligorov, T. Head, C. Jones, I. Komarov, O. Lupton, R. Matev, G. Raven, B. Sciascia, T. Skwarnicki, P. Spradlin, S. Stahl, B. StoraciM. Vesterinen

Department of Physics

Research output: Contribution to journal › Article › peer-review

75 Scopus citations

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.

Original language	English (US)
Pages (from-to)	35-42
Number of pages	8
Journal	Computer Physics Communications
Volume	208
DOIs	https://doi.org/10.1016/j.cpc.2016.07.022
State	Published - Nov 1 2016

Keywords

Data acquisition
Data analysis
Particle physics

ASJC Scopus subject areas

Hardware and Architecture
General Physics and Astronomy

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10.1016/j.cpc.2016.07.022

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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., Jones, C., Komarov, I., Lupton, O., Matev, R., Raven, G., Sciascia, B., Skwarnicki, T., Spradlin, P., Stahl, S., ... Vesterinen, M. (2016). Tesla: An application for real-time data analysis in High Energy Physics. Computer Physics Communications, 208, 35-42. https://doi.org/10.1016/j.cpc.2016.07.022

Aaij, R, Amato, S, Anderlini, L, Benson, S, Cattaneo, M, Clemencic, M, Couturier, B, Frank, M, Gligorov, VV, Head, T, Jones, C, Komarov, I, Lupton, O, Matev, R, Raven, G, Sciascia, B, Skwarnicki, T, Spradlin, P, Stahl, S, Storaci, B & Vesterinen, M 2016, 'Tesla: An application for real-time data analysis in High Energy Physics', Computer Physics Communications, vol. 208, pp. 35-42. https://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.",

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AU - Anderlini, L.

AU - Benson, S.

AU - Cattaneo, M.

AU - Clemencic, M.

AU - Couturier, B.

AU - Frank, M.

AU - Gligorov, V. V.

AU - Head, T.

AU - Jones, C.

AU - Komarov, I.

AU - Lupton, O.

AU - Matev, R.

AU - Raven, G.

AU - Sciascia, B.

AU - Skwarnicki, T.

AU - Spradlin, P.

AU - Stahl, S.

AU - Storaci, B.

AU - Vesterinen, M.

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AB - 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.

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KW - Particle physics

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Tesla: An application for real-time data analysis in High Energy Physics

Abstract

Keywords

ASJC Scopus subject areas

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