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

TL;DR

Tesla is a real-time data analysis application for High Energy Physics that leverages upgraded LHCb infrastructure to enable immediate physics measurements, reducing storage needs and eliminating offline reconstruction.

Contribution

It introduces Tesla, a novel application that processes trigger-calculated data for real-time physics analysis, streamlining workflows and storage in High Energy Physics experiments.

Findings

Enables real-time physics measurements directly from trigger data

Reduces storage requirements by an order of magnitude

Eliminates the need for offline event reconstruction

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, following the LHCb renowned physicist naming convention, is an application designed to process the information calculated by the trigger, with the resulting output used to directly perform physics measurements.