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SMP-J annual workshop (theory part)

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42/3-032 (CERN)

42/3-032

CERN

20
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SMP-J workshop
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    • 09:00 → 13:00
      Morning: Morning session - pQCD and resummation 42/3-032

      42/3-032

      CERN

      20
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      • 09:00
        Introduction 10m
        Speakers: Mikko Voutilainen (Helsinki Institute of Physics (FI)), Paolo Gunnellini (Deutsches Elektronen-Synchrotron (DE))
        IntroTheory.pdf
      • 09:10
        Threshold and jet radius joint resummation for single-inclusive jet production 25m
        Speaker: S. Moch (UHH)
        cms-jointres.pdf
      • 09:35
        Results on NNLO fits with jet data 25m
        Speaker: Dr Juan Rojo (VU Amsterdam and Nikhef)
        rojo-CMSjets-NNLOjets.pdf
      • 10:00
        Towards a NLO parton shower 25m
        Speakers: Stefan Hoche (SLAC National Accelerator Laboratory (US)), Stefan Hoeche (SLAC)
        cern_18-01.pdf
      • 10:25
        TMD distribtuions and jet physics predictions 25m
        Speaker: Krzysztof Kutak (Instytut Fizyki Jadrowej Polskiej Akademii Nauk)
        CERN-2018-kutak.pdf
      • 11:20
        Determination of TMDs from jet physics 25m
        Speaker: Wouter Waalewijn (University of Amsterdam)
        cms_smp_j.pdf
      • 11:45
        The parton branching method 25m
        Speaker: Francesco Hautmann (Institute of Theoretical Physics)
        tk_smpj2018Jan23.pdf
      • 12:10
        Progress on NNLOjet calculations 25m
        Speaker: Dr Alexander Huss (ETH Zurich)
        ahuss.pdf
      • 12:35
        Status and possibilities of interpolation grids (fastNLO) 25m
        Speaker: Klaus Rabbertz (KIT - Karlsruhe Institute of Technology (DE))
        fastNLO_Status_SMPJWS_20180123.pdf
    • 14:30 → 18:45
      Afternoon: Afternoon session - machine learning techniques 42/3-032

      42/3-032

      CERN

      20
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      • 14:30
        Machine learning techniques for unfolding 25m
        Speaker: Alexander Glazov (Deutsches Elektronen-Synchrotron (DE))
        cms_230112.pdf
      • 14:55
        Machine Learning for Jet Physics 25m
        Speaker: Ben Nachman (Lawrence Berkeley National Lab. (US))
        Nachman_CMSJets.pdf
      • 15:20
        Deep neural network for boosted top tagging 25m
        Speaker: Wojtek Fedorko (University of British Columbia)
        SMP-J_top_tagging_forPDF.pdf
        SMP-J_top_tagging.pptx
      • 15:45
        Adversarial neural networks for jet images 25m
        Speaker: Luke Percival De Oliveira
        smp-j-lukedeo.pdf
      • 16:40
        Jet classification with neural networks 25m
        Speaker: Andrew Larkoski (Massachusetts Institute of Technology)
        CERN_CMS_2018_Larkoski.pdf
      • 17:05
        Jet substructure classification with neural networks 25m
        Speaker: Daniel Whiteson (University of California Irvine (US))
        jetsub_jan2018.pdf
      • 17:30
        Jets in Herwig and new ideas on jet tagging 25m
        Speaker: Radek Podskubka (Acad. of Sciences of the Czech Rep. (CZ))
        radek_herwig.pdf
      • 17:55
        Tutorial on KaTie + CASCADE 35m
        Speakers: Andreas van Hameren (IFJ PAN), Krzysztof Kutak (Instytut Fizyki Jadrowej Polskiej Akademii Nauk)
        output.pdf
    • 19:00 → 21:00
      Workshop dinner - La Merynoise 2h

      Doodle: https://doodle.com/poll/4gg4wfk4z7tcu9pb

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