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FunTuple: A New N-tuple Component for Offline Data Processing at the LHCb Experiment.

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This summary is machine-generated.

The LHCb experiment

Keywords:
Data processing and offline analysisHigh-energy-physicsLHCb experiment

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Area of Science:

  • High Energy Physics
  • Particle Physics
  • Collider Physics

Background:

  • The LHCb experiment requires a robust offline software framework to handle increasing data volumes from the Large Hadron Collider.
  • Upcoming Run 3 and Run 4 present significant data processing challenges for the LHCb experiment.

Purpose of the Study:

  • Introduce FunTuple, a new component for LHCb's offline data processing.
  • Ensure consistency between trigger and offline observables.
  • Provide flexibility in storing diverse event observables.

Main Methods:

  • Leveraging existing trigger system tools for observable computation and storage.
  • Implementing a novel component for offline data processing.
  • Conducting a full suite of rigorous unit tests for validation.

Main Results:

  • FunTuple enables computation and storage of diverse observables for reconstructed and simulated events.
  • Consistency between trigger-computed and offline-analysed observables is achieved.
  • The component offers user flexibility in customizing stored observables.

Conclusions:

  • FunTuple is a reliable and flexible component for LHCb's offline data processing.
  • It is crucial for addressing data challenges in Run 3 and Run 4 and beyond.
  • FunTuple enhances the LHCb software framework for future analyses.