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09:00
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Session 1
(until 12:00)
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10:00
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Session 2
(until 12:15)
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11:00
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Automatic Differentiation in ROOT (oral)
-
Oksana Shadura
(University of Nebraska Lincoln (US))
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09:00
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Session 3
(until 12:40)
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09:00
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Evolving Geant4 to cope with the new HEP computing challenges
-
Andrei Gheata
(CERN)
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09:45
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Machine Learning with ROOT/TMVA (oral)
-
Stefan Wunsch
(KIT - Karlsruhe Institute of Technology (DE))
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10:30
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A new PyROOT: Modern, Interoperable and more Pythonic (poster)
-
Enric Tejedor Saavedra
(CERN)
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11:00
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--- Coffee break ---
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11:20
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Distributed data analysis with ROOT RDataFrame (oral)
-
Enric Tejedor Saavedra
(CERN)
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12:05
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Fast inference system in ROOT/TMVA (poster)
-
Sitong An
(CERN, Carnegie Mellon University (US))
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12:35
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Using CMS Open Data for education, outreach and software development
-
Stefan Wunsch
(KIT - Karlsruhe Institute of Technology (DE))
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09:00
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Session 4
(until 13:10)
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09:00
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End-to-end Deep Learning Fast Simulation Framework (poster)
-
Ioana Ifrim
(CERN)
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09:45
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Learning high-level structures in HEP data with novel Deep Auto-Regressive Networks for Fast Simulation (oral)
-
Ioana Ifrim
(CERN)
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10:15
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New web-based ROOT GUI (oral)
-
Serguei Linev
(GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))
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11:00
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Coffee break
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11:20
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Web-based ROOT geometry viewer (oral)
-
Serguei Linev
(GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))
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11:50
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ROOT I/O improvements for HEP analysis (poster)
-
Oksana Shadura
(University of Nebraska Lincoln (US))
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12:10
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Review of High-Quality Pseudo Random Number Generators (oral)
-
Lorenzo Moneta
(CERN)
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12:40
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A faster, more accessible RooFit (poster)
-
Stephan Hageboeck
(CERN)
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