Machine Learning for the LHC Distributed Data Placement and Track Finding

Contribution List

1. NRC KI Welcome

Vasily Velikhov (National Research Centre Kurchatov Institute (RU))

12/7/15, 10:00 AM

2. Introduction and Workshop Primary Goals

Alexei Klimentov (Brookhaven National Laboratory (US)), Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Paolo Calafiura (Lawrence Berkeley National Lab. (US))

12/7/15, 10:10 AM

4. Machine Learning hands-on

Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Dr Rogozhnikov Alexey (School of Data Analysis)

12/7/15, 10:20 AM

Machine Learning Principles, Tools and Libraries (I)

14. Topological Trigger Optimization

Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))

12/7/15, 1:30 PM

Machine Learning Tools, Principles and Libraries (II)

15. Flavour Tagging Optimization

Denis Derkach (Yandex School of Data Analysis (RU)), Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))

12/7/15, 2:10 PM

Machine Learning Tools, Principles and Libraries (II)

5. Data Placement Policy Evolution in ATLAS

Alexei Klimentov (Brookhaven National Laboratory (US)), Mario Lassnig (CERN)

12/7/15, 3:30 PM

Data Placement

6. Data Placement and Data Handling in LHCb

Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Mikhail Hushchyn (Yandex School of Data Analysis (RU))

12/7/15, 4:10 PM

Data Placement

12. Data Placement simulation and Distributed Computing Simulation - round table discussion

12/7/15, 5:10 PM

Data Placement

0. Welcome frоm LIT JINR Director

Vladimir Korenkov (Joint Inst. for Nuclear Research (RU))

12/8/15, 10:00 AM

3. Data Science at LHC Workshop Highlights

David Rousseau (LAL-Orsay, FR), Dirk Duellmann (CERN)

12/8/15, 10:10 AM

16. Track Finding (COMET & SHIP)

Mikhail Hushchyn (Yandex School of Data Analysis (RU))

12/8/15, 11:40 AM

Machine Learning Tools, Principles and Libraries (III)

19. LHCbEventIndex - applications and possibilities

Nikita Kazeev (Yandex School of Data Analysis (RU))

12/8/15, 2:00 PM

20. ML for anomaly detection in HEP detector (LHCb)

Nikita Kazeev (Yandex School of Data Analysis (RU))

12/8/15, 2:30 PM

17. Data-Intensive Applications on HPC Using Hadoop, Spark and RADICAL-Cybertools

Prof. Shantenu Jha (Rutgers University)

12/8/15, 2:50 PM

21. ML and Distributed Computing Modeling activities at LIT JINR

Prof. Ososkov Gennady (JINR)

12/8/15, 3:50 PM

13. round table discussion

12/8/15, 4:40 PM

11. ATLAS Distributed Data Management System - Rucio

18. LHCb EventIndex - applications & possibilities

Nikita Kazeev (Yandex School of Data Analysis (RU))

8. ML @LHCb

9. ML@ATLAS

10. Tier-1 storage simulation for CMS

7. Tracking algorithms (COMET and SHIP)