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, Tomasz Skwarnicki, P. Spradlin, S. Stahl, B. StoraciM. Vesterinen

Research output: Contribution to journalArticle

36 Scopus citations


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 languageEnglish (US)
Pages (from-to)35-42
Number of pages8
JournalComputer Physics Communications
StatePublished - Nov 1 2016



  • Data acquisition
  • Data analysis
  • Particle physics

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Hardware and Architecture

Cite this

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