Machine Learning for the LHC Distributed Data Placement and Track Finding

Name: Machine Learning for the LHC Distributed Data Placement and Track Finding
Start: 2015-12-07T10:00:00+03:00
End: 2015-12-09T20:00:00+03:00
Location: Other Institutes

7 Dec 2015, 10:00 → 9 Dec 2015, 20:00 Europe/Moscow

Other Institutes

Bldg. 348 Room 322 National Research Center "Kurchatov Institute" (Moscow) Joint Institute of Nuclear Research (Dubna)

Alexei Klimentov (Brookhaven National Laboratory (US)), Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Paolo Calafiura (Lawrence Berkeley National Lab. (US)), Vladimir Korenkov (Joint Inst. for Nuclear Research (RU))

Description

doodle poll : http://doodle.com/poll/bkw87sxr8wtneuw4#table

Participants

Aleksei Rogozhnikov
Alexander Nikolaev
Alexander Sboev
Alexander Zamyatin
Alexei Klimentov
Alexey Poyda
Andrew Klimenko
Andrey Polyakov
Andrey Ustyuzhanin
Anton Selivanov
David Rousseau
Denis Derkach
Dimitrii Krasnopevtsev
Dirk Duellmann
Dmitriy Gudovskih
Dmitry Serikov
Elizaveta Shutova
Emelian Andrioanov
Igor Nadezhdin
Ivan Moloshnikov
Ivan Tertychnyy
Ivan Vanushin
Konstantin Zaitsev
Lev Astakhov
Maksim Stulin
Maria Grigoryeva
Mario Lassnig
Maxim Bochkov
Mikhail Hushchyn
Nikita Kazeev
Pavel Velikhov
Robert Sevumyan
Ruslan Mashinistov
Rybka Roman
Sami Kama
Serge Smirnov
Shantenu Jha
Sophia Rodina
Tatiana Likhomanenko
Vladimir Korenkov
Vladimir Shevchenko

Monday, 7 December
- 1
  
  NRC KI Welcome
  
  Speaker: Vasily Velikhov (National Research Centre Kurchatov Institute (RU))
- 2
  
  Introduction and Workshop Primary Goals
  
  Speakers: Alexei Klimentov (Brookhaven National Laboratory (US)), Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Paolo Calafiura (Lawrence Berkeley National Lab. (US))
  
  ML_Intorduction.pdf
  
  ML_Intorduction.pptx
- Machine Learning Principles, Tools and Libraries (I)
  
  Convener: Mario Lassnig (CERN)
  - 3
    Machine Learning hands-on
    
    Speakers: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Dr Rogozhnikov Alexey (School of Data Analysis)
    
    Rogozhnikov-Introduction to machine learning.pdf
    
    a) Machine Learning Introduction
    
    Speaker: Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))
    
    b) Machine Learning for Tracking
    
    Speaker: Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))
- 12:30
  
  lunch
- Machine Learning Tools, Principles and Libraries (II)
  
  Convener: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
  - 4
    
    Topological Trigger Optimization
    
    Speaker: Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
    
    triggers.pdf
  - 5
    
    Flavour Tagging Optimization
    
    Speakers: Denis Derkach (Yandex School of Data Analysis (RU)), Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
    
    tagging.pdf
- 15:10
  
  Tea break
- Data Placement
  
  Convener: Alexei Klimentov (Brookhaven National Laboratory (US))
  - 6
    Data Placement Policy Evolution in ATLAS
    
    Speakers: Alexei Klimentov (Brookhaven National Laboratory (US)), Mario Lassnig (CERN)
    
    ml_for_atlas_ddm.pdf
    
    a) Computing Model (from Monarc to "mesh")
    
    b) Data formats and data popularity
    
    c) PD2P - PanDA Dynamic Data Placement : concept and realization
    
    d) Rucio : Architecture overview
    
    e) ATLAS Data (Run1, Run2 and beyond)
    
    f) Sources of (data) meta-information
    
    g) Topics of interest
  - 7
    
    Data Placement and Data Handling in LHCb
    
    Speakers: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Mikhail Hushchyn (Yandex School of Data Analysis (RU))
    
    Hushchyn_datapop_presentation.pdf
  - 8
    
    Data Placement simulation and Distributed Computing Simulation - round table discussion
- 18:30
  
  Bus to JINR (Dubna)
Tuesday, 8 December
- 9
  
  Welcome frоm LIT JINR Director
  
  Speaker: Vladimir Korenkov (Joint Inst. for Nuclear Research (RU))
- 10
  
  Data Science at LHC Workshop Highlights
  
  Speakers: David Rousseau (LAL-Orsay, FR), Dirk Duellmann (CERN)
  
  dirkd-ml-dubna_20151208.pdf
  
  tr151208_davidRousseau_MLDubna_DSLHC2015_conclusion.pptx.pdf
  
  tr151208_davidRousseau_MLDubna_DSLHC2015_summary.pptx.pdf
- Machine Learning Tools, Principles and Libraries (III)
  - 11
    
    Track Finding (COMET & SHIP)
    
    Speaker: Mikhail Hushchyn (Yandex School of Data Analysis (RU))
    
    Hushchyn_tracking_presentation.pdf
- 12:40
  
  lunch
- 12
  
  LHCbEventIndex - applications and possibilities
  
  Speaker: Nikita Kazeev (Yandex School of Data Analysis (RU))
  
  event_index_dubna_2015.pdf
- 13
  
  ML for anomaly detection in HEP detector (LHCb)
  
  Speaker: Nikita Kazeev (Yandex School of Data Analysis (RU))
  
  dubna-2015-anomalies.pdf
- 14
  
  Data-Intensive Applications on HPC Using Hadoop, Spark and RADICAL-Cybertools
  
  Speaker: Prof. Shantenu Jha (Rutgers University)
  
  link to vydio conf (talk will be given remotely)
  
  slides
- 15
  ML and Distributed Computing Modeling activities at LIT JINR
  
  Speaker: Prof. Ososkov Gennady (JINR)
  
  New things in wavelet analysis.pdf
  
  New things in wavelet analysis.pptx
  
  Ososkov_Pattern Recognition_ in_HEP.pdf
  
  Ososkov_Pattern Recognition_ in_HEP.pptx
  - a) pattern recognition in HEP
- 16:20
  
  tea break
- 16
  
  round table discussion
- Workshop dinner
Wednesday, 9 December
- Data Placement and Distributed Computing Analytical Model: topical discussion about data placement for ATLAS et el Grid analytical model Deep learning tutorial (TBC) Splinter meetings
- Deep Learning Tutorial by Yandex (TBC)
  
  Registration form

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Machine Learning for the LHC Distributed Data Placement and Track Finding

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