FCC-ee Workshop on Particle Flow Reconstruction

Europe/Zurich
CERN

CERN

Anna Zaborowska (CERN), Dolores Garcia (CERN), Lena Maria Herrmann, Michele Selvaggi (CERN)
Description

This workshop is meant to discuss in details the particle flow approaches for the experiments on the Future Circular Collider (FCC-ee).

The first three days feature introductory talks and overview of theย work at LHC and in neutrino experiments (modern Pandora developments), with the main part of the event dedicated to theย FCC-ee detector concepts: current work on Pandora implementation and Machine Learning approaches.

The last two days of the event are dedicated to the hands-on sessions/hackathon and the discussions on the evolution of particle flow for FCC-ee.

ย 

Please note that the timetable is still a first draft, we are waiting for confirmations from the speakers.

Registration
Participants
    • 09:00 10:45
      Introduction to Particle Flow: Introduction
      • 09:00
        The Particle Flow approach 45m
      • 09:45
        Detector Concepts: CLD 15m
      • 10:00
        Detector concepts: ILD 15m
      • 10:15
        Detector Concepts: ALLEGRO 15m
      • 10:30
        Detector Concepts: IDEA 15m
    • 10:45 11:00
      Coffee break 15m
    • 11:00 12:00
      Pandora: Introduction to Pandora
      • 11:00
        Overview of Pandora and historical context 30m
      • 11:30
        Pandora SDK 30m
        Speakers: Andrew Chappell (University of Warwick (GB)), John Stuart Marshall (University of Warwick (GB))
    • 12:00 13:30
      Lunch 1h 30m
    • 13:30 17:30
      Pandora: Pandora algorithms
      • 13:30
        Overview of the LCContent library 1h

        LCContent contains algorithms that were implemented for the linear collider experiments. The development has not continued in the recent years.

        Speaker: John Stuart Marshall (University of Warwick (GB))
      • 14:30
        Overview of LArContent library 1h

        LArContent library is used in the neutrino's experiments.
        It represents the more modern developments.

        Speaker: Andrew Chappell (University of Warwick (GB))
      • 15:30
        Coffee break 20m
      • 15:50
        Discussion 1h

        LCContent: how do we continue to develop it?
        LCContent: management of the git repository, how can FCC-ee or key4hep mainainers take more active role?
        What are the ideas on how to continue with the LCContent?
        What is the start point for the new detector concepts that are far from ILD/CLICdp?

    • 09:00 12:00
      Pandora: @ FCC
      • 09:00
        Experience with Pandora for CLD 45m
      • 09:45
        Experience with Pandora for ALLEGRO 45m
      • 10:30
        Coffee break 20m
      • 10:50
        Experience with Pandora for IDEA 45m
      • 11:35
        Discussion 25m

        What do we think should work (or not) for those detectors?
        How to continue using Pandora?

    • 12:00 13:30
      Lunch 1h 30m
    • 13:30 15:30
      Pandora: Technical implementation
      • 13:30
        Pandora @ key4hep 30m

        How does it work now,
        plan for future.

      • 14:00
        Debugging Pandora 1h

        PandoraMonitoring
        other tools ?

      • 15:00
        Discussion 30m

        How to use best debugging tools in Pandora @ FCC?

    • 15:30 15:50
      Coffee break 20m
    • 15:50 17:30
      Pandora: Discussions
    • 09:00 10:30
      Particle Flow approaches: Colliders
      • 09:00
        Overview of Particle-Flow in ATLAS 30m
      • 09:30
        Overview of Particle-Flow in CMS 30m
      • 10:00
        Overview of Particle-Flow in CEPC 30m
    • 10:30 10:50
      Coffee break 20m
    • 10:50 12:20
      Particle Flow approaches: Machine Learning
      • 10:50
        Machine-Learning Particle Flow in FCC 30m
      • 11:35
        Machine-Learning Particle Flow in CLICDet/FCC-ee CLD/CMS 30m
    • 12:20 13:50
      Lunch 1h 30m
    • 13:50 15:20
      Particle Flow approaches: Machine Learning
      • 13:50
        Machine-Learning Based Reconstruction in CEPC 30m
      • 14:35
        Machine-Learning Based Particle Flow in ILD 30m
    • 15:20 15:40
      Coffee break 20m
    • 15:40 17:30
      Particle Flow approaches: Discussion
    • 09:00 17:00
      Hackathon
    • 09:00 17:00
      Hackathon