LPCC Fast Detector Simulation Workshop

Alberto Ribon (CERN), Anna Zaborowska (CERN), Witold Pokorski (CERN)

The goal of the workshop is to discuss the developments of the fast detector simulation and to identify common interests with room for collaboration. The workshop has been divided into 6 sessions to facilitate the discussions on the topic in focus. Please find the list of useful questions around the topic in the description of each session in the timetable.

The Workshop will be held in remote mode only.

  • Abhishek Yadav
  • Adam Davis
  • Ahmet Ilker Topuz
  • Alberto Ribon
  • Alexander Schilling
  • Aman Mukesh Desai
  • Andrea Cesarini
  • Andreas Ceulemans
  • Andrei Gheata
  • Anita Candiello
  • Ankur Yadav
  • Anna Zaborowska
  • Aref Eshkevar Vakili
  • Argyrios Kerezis
  • Balder Villagomez
  • Benno Kach
  • Benyounes Bel Moussa
  • Bilal Javed Mughal
  • Brahim Aitbenchikh
  • Claudius Krause
  • Constantine Chimpoesh
  • Dalila Salamani
  • David Rousseau
  • Debajyoti Sengupta
  • Denis Derkach
  • Dirk Krucker
  • Dmitri Konstantinov
  • Driss Benchekroun
  • El Mehdi Ghardi
  • Elizabeth Sexton-Kennedy
  • Engin Eren
  • Erik Buhmann
  • Evangelos Kourlitis
  • Fernando Monterde-Andrade
  • Frederic Engelke
  • Gabriele Cosmo
  • Gloria Corti
  • Graeme A Stewart
  • Guilherme Amadio
  • Guillaume Quétant
  • Gustavo Gil Da Silveira
  • Hasib Ahmed
  • Henry Ann Day-Hall
  • Ivana Hrivnacova
  • Jan Michal Dubinski
  • Javier Mauricio Duarte
  • Jean-Roch Vlimant
  • Jesus David Bermudez Sanchez
  • John Apostolakis
  • John Derek Chapman
  • Jonas Hahnfeld
  • Joshua Falco Beirer
  • Kamil Rafal Deja
  • Kevin Pedro
  • Kolja Kauder
  • Li Shuwei
  • Liza Mijovic
  • Lorenzo Pezzotti
  • Lucio Anderlini
  • Mahsa Farasat
  • Marc Verderi
  • Marilena Bandieramonte
  • Mary Touranakou
  • Matteo Barbetti
  • Matteo Rama
  • Maxim Potekhin
  • Michael Duehrssen-Debling
  • Michal Mazurek
  • Michele Faucci Giannelli
  • Mihaly Novak
  • Moritz Jonas Wolf
  • Moritz Scham
  • Mouftahou Bakary Latif
  • Muhammad Uzair Aslam
  • Nana Marie Werther
  • Nikita Kazeev
  • Otmane Abouhadid
  • Pere Mato Vila
  • Peter McKeown
  • Philip Clark
  • Raghav Kansal
  • Roberto Preghenella
  • Roberto Ribatti
  • Rui Wang
  • Rui Zhang
  • Samuel Louis Bein
  • Sandro Christian Wenzel
  • Saverio Mariani
  • Selaiman Ridouani
  • Seyed Shams Sajadi
  • Soham Bhattacharya
  • Thomas Michael Carter
  • Tobias Golling
  • Tobias Reiling
  • Tommaso Lari
  • Torre Wenaus
  • Tulay Cuhadar Donszelmann
  • Vinicius Massami Mikuni
  • Vladimir Ivantchenko
  • Walter Hopkins
  • Wenxing Fang
  • William Korcari
  • Witold Pokorski
  • Yassine El Ghazali
  • Zafar Yasin
LPCC Fast Detector Simulation Workshop
Zoom Meeting ID
Anna Zaborowska
Useful links
Join via phone
Zoom URL
  • Monday, November 22
    • 3:00 PM 3:05 PM
      Introduction 5m
      Speakers: Alberto Ribon (CERN), Anna Zaborowska (CERN), Witold Pokorski (CERN)
    • 3:05 PM 4:00 PM
      Fast Simulation applicability and accuracy

      How is fast simulation used: applied to which detectors? Are there specific “sensitive” parts of the detector where it is difficult to get fast simulation? Is it used widely in production? Which physics analyses can use fast simulation, which cannot? What are the demands on the accuracy of the (fast) simulation? Do you/can you tune fast simulation to collision data to get better results than from the full simulation?

      How does it look now, but also how it changes for Run3 & HL-LHC?

      • 3:05 PM
        CMS 10m

        Session: Applicability and accuracy

        Speaker: Samuel Louis Bein (Hamburg University (DE))
      • 3:15 PM
        ATLAS 10m

        Session: Applicability and accuracy

        Speakers: Joshua Falco Beirer (Georg August Universitaet Goettingen (DE)), Joshua Falco Beirer (CERN, Georg-August-Universitaet Goettingen (DE)), Joshua Falco Beirer (Georg August Universitaet Goettingen (DE))
      • 3:25 PM
        ALICE 10m

        Session: Applicability and accuracy

        Speaker: Roberto Preghenella (INFN, Bologna (IT))
      • 3:35 PM
        LHCb 10m

        Session: Applicability and accuracy

        Speaker: Constantine Chimpoesh
      • 3:45 PM
        Discussion 15m
    • 4:00 PM 4:55 PM
      Data preprocessing

      Which particle types and properties (energy, angle) are considered?
      How large is the full sim dataset used to extract parametrization/train the network? Is the dataset balanced (is the number of events for the different particle properties almost the same?)
      How the structure of the input data is defined (hits, cells, clusters, custom voxels,..)?
      Which data structure is used for the ML training (1D vector, images, graphs..)?
      Is input data scaled? How?
      How do you store the preprocessed data?
      How are the condition values for the ML training (energy of the particle, angle,..) encoded?

    • 4:55 PM 5:10 PM
      Break 15m
    • 5:10 PM 6:00 PM

      How the extraction and tuning of parameters for the fast simulation are done?
      For ML, how training is performed? What hyperparameter tuning approach is adopted? What metric is used to compare the performance of the model during the tuning process?

    • 6:00 PM 7:00 PM
      Further discussions 1h

      In case we need more time.

  • Tuesday, November 23
    • 3:00 PM 3:55 PM

      How do you validate fast simulation?
      Is it on e.g. particle shower characteristics (longitudinal/transverse profiles, etc.), on high-level results of physics analyses, ...?
      For ML, what is the metric used to validate the model and what is the objective function you are optimizing during the training?

    • 3:55 PM 4:50 PM
      Fast sim model integration

      How is fast simulation integrated into the experiment's framework?
      How is the model stored (file format, size, ...)? Are there any specific files to store in addition to the model?
      For ML, which inference library is used?
      How much time does it take to generate one event?
      What is the memory footprint?
      Are there any optimization approaches considered to reduce the memory?
      Has the ML simulation been tested on GPU?

    • 4:50 PM 5:10 PM
      Break 20m
    • 5:10 PM 6:05 PM
      Reusability and Generalisation

      Are there any valuable lessons to be learnt by others?
      Tools that can be reused?
      Maybe some ideas have failed for your detectors (or parts of it) and it can be useful to others?
      What are your plans, maybe there is room for collaboration?

      • 5:10 PM
        LHCb 10m

        Session: Reusability & Generalization

        Speaker: Adam Davis (University of Manchester (GB))
      • 5:20 PM
        CMS 10m

        Session: Reusability & Generalization

        Speaker: Erik Buhmann (Hamburg University (DE))
      • 5:30 PM
        ALICE 10m

        Session: Reusability & Generalization

        Speaker: Kamil Rafal Deja (Warsaw University of Technology (PL))
      • 5:40 PM
        ATLAS 10m

        Session: Reusability & Generalization

        Speaker: Michele Faucci Giannelli (INFN e Universita Roma Tor Vergata (IT))
      • 5:50 PM
        EP-SFT 10m

        Session: Reusability & Generalization

        Speaker: Dalila Salamani (CERN)
      • 6:00 PM
        Discussion 5m
    • 6:05 PM 7:00 PM
      Further discussions 55m

      In case we need more time.