Name: PyHEP 2020 (virtual) Workshop
Start: 2020-07-13T08:00:00-05:00
End: 2020-07-17T18:15:00-05:00
Location: No location set

PyHEP 2020 (virtual) Workshop

from Monday 13 July 2020 (08:00) to Friday 17 July 2020 (18:15)

Monday 13 July 2020
08:00
08:00 - 11:25
Contributions

08:00 Welcome and workshop overview - Eduardo Rodrigues (University of Liverpool (GB))

08:10 Uproot & Awkward Arrays (TUTORIAL) - Jim Pivarski (Princeton University)

09:40 The NanoEvents object - Nick Smith (Fermi National Accelerator Lab. (US))

10:10 Jagged physics data analysis with numba, awkward and uproot on a GPU (TUTORIAL) - Joosep Pata (California Institute of Technology (US))

10:55 TITANIA - how to structure detector monitoring - Jakub Kowalski Maciej Witold Majewski (AGH University of Science and Technology (PL))
17:00
17:00 - 18:35
Contributions

17:00 Welcome and workshop overview - Jim Pivarski (Princeton University)

17:10 Rubin Observatory: The software behind the science - Nate Lust

17:50 Ganga: flexible use of of virtualisation for user based large scale computations (TUTORIAL) - Ulrik Egede (Monash University (AU))
Tuesday 14 July 2020
08:00
08:00 - 11:25
Contributions

08:00 Python & HEP: a perfect match, in theory - David Straub (Lilium GmbH, Munich)

08:40 A new PyROOT for ROOT 6.22 - Enric Tejedor Saavedra (CERN) Stefan Wunsch (KIT - Karlsruhe Institute of Technology (DE))

09:10 resample: use the bootstrap and jackknife from Python - Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)

10:10 Design Pattern for Analysis Automation on Interchangeable, Distributed Resources using Luigi Analysis Workflows - Marcel Rieger (CERN)

10:40 ServiceX: On-Demand Data Transformation and Delivery for the Present and HL-LHC Era - Kyungeon Choi (University of Texas at Austin (US))
17:00
17:00 - 19:00
Contributions

17:00 A prototype U.S. CMS analysis facility (TUTORIAL) - Oksana Shadura (University of Nebraska Lincoln (US))

17:45 Integrating Coffea and Work Queue - Cami Carballo (University of Notre Dame)
Wednesday 15 July 2020
08:00
08:00 - 11:00
Contributions

08:00 Columnar Analysis at Scale with Coffea (TUTORIAL) - Mat Adamec (University of Nebraska Lincoln (US))

08:45 High Granularity Calorimeter (HGCAL) test beam analysis using Jupyter notebooks - Matteo Bonanomi (LLR, Ecole Polytechnique (FR))

09:45 Introduction to automatic differentiation (TUTORIAL) - Lukas Alexander Heinrich (CERN)

10:30 neos: physics analysis as a differentiable program - Nathan Daniel Simpson (Lund University (SE))
17:00
17:00 - 18:00
Contributions

17:00 High-performance Python (TUTORIAL) - Henry Fredrick Schreiner (Princeton University)
Thursday 16 July 2020
08:00
08:00 - 11:15
Contributions

08:00 Model building and statistical inference with zfit and hepstats (TUTORIAL) - Jonas Eschle (Universitaet Zuerich (CH)) Matthieu Marinangeli (EPFL - Ecole Polytechnique Federale Lausanne (CH))

08:45 SModelS – a tool for interpreting simplified-model results from the LHC - Wolfgang Waltenberger (Austrian Academy of Sciences (AT))

09:45 Tensorflow-based Maximum Likelihood fits for High Precision Standard Model Measurements at CMS - Josh Bendavid (CERN)

10:15 iminuit: Past and Future - Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)

10:45 zfit - TensorFlow 2.0: dynamic and compiled HPC - Jonas Eschle (Universitaet Zuerich (CH))
17:00
17:00 - 18:15
Contributions

17:00 Machine learning technique for signal-background separation of nuclear interaction vertices in the CMS detector - Anna Kropivnitskaya (The University of Kansas (US))

17:30 pyhf: Accelerating analyses and preserving likelihoods (TUTORIAL) - Matthew Feickert (Univ. Illinois at Urbana Champaign (US))
Friday 17 July 2020
08:00
08:00 - 11:00
Contributions

08:00 The boost-histogram package - Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg) Henry Fredrick Schreiner (Princeton University)

08:30 Providing Python Bindings For Complex and Feature-Rich C and C++ Libraries - Martin Schwinzerl (University of Graz (AT))

09:00 Integrating GPU libraries for fun and profit - Adrian Oeftiger (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))

10:00 mplhep: bridging Matplotlib and HEP - Andrzej Novak (RWTH Aachen (DE))

10:30 ROOT preprocessing pipeline for machine learning with TensorFlow - Matthias Komm (CERN)
17:00
17:00 - 18:15
Contributions

17:00 Integrated Data Acquisition in Python - Charles Burton (University of Texas at Austin (US))

17:30 ThickBrick: Optimal event selection and categorization in high energy physics (TUTORIAL) - Prasanth Shyamsundar (University of Florida)

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