Machine Learning and Quality Control in ALICE

Name: Machine Learning and Quality Control in ALICE
Start: 2018-12-03T00:00:00+01:00
End: 2018-12-04T22:10:00+01:00
Location: CERN

3 Dec 2018, 00:00 → 4 Dec 2018, 22:10 Europe/Zurich

160/1-009 (CERN)

160/1-009

CERN

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Description

The goal of this meeting is to bring together the Machine Learning and ALICE experts to discuss the implementation of the novel quality control methods.

Video conference access

Registration

Registration form: ML and QC in ALICE

Participants

56 View full list

Monday 3 December
- Mon 3 Dec
- Tue 4 Dec
- 09:00 → 09:10
  
  Welcome 10m
  
  Speaker: Jacek Tomasz Otwinowski (Polish Academy of Sciences (PL))
  
  JO_MLQC_ALICE_31218_CERN.pdf
- 09:10 → 09:40
  
  Overview of machine learning techniques 30m
  
  Speaker: Kamil Rafal Deja (Warsaw University of Technology (PL))
  
  ML_intro ALICE workshop.pdf
  
  ML_intro ALICE workshop.pptx
- 09:40 → 10:10
  
  Application of online deep learning techniques to pulsed-signal data 30m
  
  Speaker: Craig Bower (University of Derby)
  
  CERN Presentation 20181202.pdf
  
  CERN Presentation 20181202.pptx
- 10:10 → 10:30
  
  Coffee/tea break 20m
- 10:30 → 11:15
  
  CMS 45m
  
  Speaker: Mantas Stankevicius (Fermi National Accelerator Lab. (US))
  
  ML for DQM and DC in CMS.pdf
- 11:15 → 12:00
  
  ATLAS 45m
  
  Speakers: James Catmore (University of Oslo (NO)), Peter Onyisi (University of Texas at Austin (US))
  
  20181203_alice_atlasdqm.pdf
- 12:00 → 12:30
  
  Discussion 30m
- 12:30 → 14:00
  
  Lunch break 1h 30m
- 14:00 → 14:30
  
  Online and offline QC in ALICE 30m
  
  Speaker: Barthelemy Von Haller (CERN)
  
  ml-workshop-qc2.pdf
  
  ml-workshop-qc2.pptx
- 14:30 → 15:00
  
  Offline QC data sets for ML in ALICE 30m
  
  Speaker: Jens Wiechula (Johann-Wolfgang-Goethe Univ. (DE))
  
  181203_QA_data_sets.pdf
- 15:00 → 15:30
  
  Overwatch/HLT online QC data sets in ALICE 30m
  
  Speaker: Raymond Ehlers (Yale University (US))
  
  2018-Dec-3.rehlers.overwatch.v4.pdf
- 15:30 → 16:00
  
  Discussion 30m
Tuesday 4 December
- Mon 3 Dec
- Tue 4 Dec
- 09:00 → 10:00
  
  Applying ML techniques to the TPC QC data / Comparing ML with analitical models 1h
  
  Speaker: Marian Ivanov (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))
  
  distortionCheck0 (2).html
  
  NDimensionalPipeline_MLWorkshop2018.fodp
  
  NDimensionalPipeline_MLWorkshop2018.pdf
- 10:00 → 10:30
  
  Classification of TPC QC data with ML 30m
  
  Speaker: Kamil Rafal Deja (Warsaw University of Technology (PL))
  
  Assigning quality labels new.pptx
- 10:30 → 10:50
  
  Coffee/tea break 20m
- 10:50 → 11:30
  
  PID in ALICE with ML: Data vs MC 40m
  
  Speaker: Lukasz Kamil Graczykowski (Warsaw University of Technology (PL))
  
  MLworkshop_MachineLearning.pdf
- 11:30 → 11:50
  
  EMCAL QC and ML plans 20m
  
  Speaker: Markus Fasel (Oak Ridge National Laboratory - (US))
  
  EMCALQCML.pdf
- 11:50 → 12:20
  
  Discussion 30m
- 12:20 → 13:50
  
  Lunch break 1h 30m
- 13:50 → 14:25
  
  ML framework and QC tools in ALICE 35m
  
  Speakers: Marian Ivanov (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)), Martin Kroesen (Ruprecht Karls Universitaet Heidelberg (DE))
  
  AliNDFunctionInterface_v3.odp
  
  AliNDFunctionInterface_v3.pdf
  
  AliNDFunctionInterface_v3.pdf
  
  distortionCheck0_2 (4).html
  
  distortionCheck0_2 (4).pdf
  
  distortionCheck0 (4).html
  
  distortionCheck0 (4).pdf
- 14:25 → 15:00
  
  ML framework for data analysis in ALICE 35m
  
  Speaker: Gian Michele Innocenti (CERN)
  
  20181204_WorkshowQA.pdf
- 15:00 → 16:00
  
  Discussion and Summary 1h