Machine Learning and Quality Control in ALICE
from
Monday, 3 December 2018 (00:00)
to
Tuesday, 4 December 2018 (22:10)
Monday, 3 December 2018
09:00
Welcome
-
Jacek Tomasz Otwinowski
(
Polish Academy of Sciences (PL)
)
Welcome
Jacek Tomasz Otwinowski
(
Polish Academy of Sciences (PL)
)
09:00 - 09:10
Room: 160/1-009
09:10
Overview of machine learning techniques
-
Kamil Rafal Deja
(
Warsaw University of Technology (PL)
)
Overview of machine learning techniques
Kamil Rafal Deja
(
Warsaw University of Technology (PL)
)
09:10 - 09:40
Room: 160/1-009
09:40
Application of online deep learning techniques to pulsed-signal data
-
Craig Bower
(
University of Derby
)
Application of online deep learning techniques to pulsed-signal data
Craig Bower
(
University of Derby
)
09:40 - 10:10
Room: 160/1-009
10:10
Coffee/tea break
Coffee/tea break
10:10 - 10:30
Room: 160/1-009
10:30
CMS
-
Mantas Stankevicius
(
Fermi National Accelerator Lab. (US)
)
CMS
Mantas Stankevicius
(
Fermi National Accelerator Lab. (US)
)
10:30 - 11:15
Room: 160/1-009
11:15
ATLAS
-
Peter Onyisi
(
University of Texas at Austin (US)
)
James Catmore
(
University of Oslo (NO)
)
ATLAS
Peter Onyisi
(
University of Texas at Austin (US)
)
James Catmore
(
University of Oslo (NO)
)
11:15 - 12:00
Room: 160/1-009
12:00
Discussion
Discussion
12:00 - 12:30
Room: 160/1-009
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: 160/1-009
14:00
Online and offline QC in ALICE
-
Barthelemy Von Haller
(
CERN
)
Online and offline QC in ALICE
Barthelemy Von Haller
(
CERN
)
14:00 - 14:30
Room: 160/1-009
14:30
Offline QC data sets for ML in ALICE
-
Jens Wiechula
(
Johann-Wolfgang-Goethe Univ. (DE)
)
Offline QC data sets for ML in ALICE
Jens Wiechula
(
Johann-Wolfgang-Goethe Univ. (DE)
)
14:30 - 15:00
Room: 160/1-009
15:00
Overwatch/HLT online QC data sets in ALICE
-
Raymond Ehlers
(
Yale University (US)
)
Overwatch/HLT online QC data sets in ALICE
Raymond Ehlers
(
Yale University (US)
)
15:00 - 15:30
Room: 160/1-009
15:30
Discussion
Discussion
15:30 - 16:00
Room: 160/1-009
Tuesday, 4 December 2018
09:00
Applying ML techniques to the TPC QC data / Comparing ML with analitical models
-
Marian Ivanov
(
GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)
)
Applying ML techniques to the TPC QC data / Comparing ML with analitical models
Marian Ivanov
(
GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)
)
09:00 - 10:00
Room: 160/1-009
10:00
Classification of TPC QC data with ML
-
Kamil Rafal Deja
(
Warsaw University of Technology (PL)
)
Classification of TPC QC data with ML
Kamil Rafal Deja
(
Warsaw University of Technology (PL)
)
10:00 - 10:30
Room: 160/1-009
10:30
Coffee/tea break
Coffee/tea break
10:30 - 10:50
Room: 160/1-009
10:50
PID in ALICE with ML: Data vs MC
-
Lukasz Kamil Graczykowski
(
Warsaw University of Technology (PL)
)
PID in ALICE with ML: Data vs MC
Lukasz Kamil Graczykowski
(
Warsaw University of Technology (PL)
)
10:50 - 11:30
Room: 160/1-009
11:30
EMCAL QC and ML plans
-
Markus Fasel
(
Oak Ridge National Laboratory - (US)
)
EMCAL QC and ML plans
Markus Fasel
(
Oak Ridge National Laboratory - (US)
)
11:30 - 11:50
Room: 160/1-009
11:50
Discussion
Discussion
11:50 - 12:20
Room: 160/1-009
12:20
Lunch break
Lunch break
12:20 - 13:50
Room: 160/1-009
13:50
ML framework and QC tools in ALICE
-
Martin Kroesen
(
Ruprecht Karls Universitaet Heidelberg (DE)
)
Marian Ivanov
(
GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)
)
ML framework and QC tools in ALICE
Martin Kroesen
(
Ruprecht Karls Universitaet Heidelberg (DE)
)
Marian Ivanov
(
GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)
)
13:50 - 14:25
Room: 160/1-009
14:25
ML framework for data analysis in ALICE
-
Gian Michele Innocenti
(
CERN
)
ML framework for data analysis in ALICE
Gian Michele Innocenti
(
CERN
)
14:25 - 15:00
Room: 160/1-009
15:00
Discussion and Summary
Discussion and Summary
15:00 - 16:00
Room: 160/1-009