PyHEP 2022 (virtual) Workshop

from Monday, 12 September 2022 (14:00) to Friday, 16 September 2022 (23:00)


        : Sessions
    /     : Talks
        : Breaks
12 Sept 2022
13 Sept 2022
14 Sept 2022
15 Sept 2022
16 Sept 2022
AM
10:30
Social time: Thursday Meet and Mingle (until 11:00) ()
10:00
Hackashop (until 12:00) ()
PM
14:00
Plenary Session Monday (until 18:20) ()
14:00 Welcome and workshop overview - Eduardo Rodrigues (University of Liverpool (GB))   ()
14:10 Level Up Your Python - Henry Fredrick Schreiner (Princeton University)   ()
15:10 TheBureaucrat, a package to help you organize your work - Matias Senger (University of Zurich (CH))   ()
15:20 Histograms as Objects: Tools for Efficient Analysis and Interactivity - Aman Goel (University of Delhi) Jay Gohil (IRIS HEP Fellow)   ()
15:50 PyHEP and the Climate Crisis [Cancelled] - Hannah Wakeling (McGill University)   ()
16:00 --- BREAK ---
16:30 Uproot, Awkward Array, hist, Vector: from basics to combinatorics - Jim Pivarski (Princeton University)   ()
17:00 Python in the Belle II experiment - Yo Sato (KEK IPNS)   ()
17:30 Teaching Python the Sustainable Way: Lessons Learned at HSF Training - Guillermo Antonio Fidalgo Rodriguez (University of Puerto Rico at Mayagüez) Aman Goel (University of Delhi) Alexander Moreno Briceño (Universidad Antonio Nariño)   ()
18:00 Uhepp: Sharing plots in a self-contained format - Frank Sauerburger (Albert Ludwigs Universitaet Freiburg (DE))   ()
18:10 jacobi: Error propagation made easy - Hans Peter Dembinski (TU Dortmund)   ()
14:00
Plenary Session Tueday (until 18:00) ()
14:00 iminuit: fitting models to data - Hans Peter Dembinski (TU Dortmund)   ()
15:00 Skyhook: Managing Columnar Data Within Storage - Jayjeet Chakraborty   ()
15:10 The Particle & DecayLanguage packages - Eduardo Rodrigues (University of Liverpool (GB))   ()
15:20 PhaseSpace + DecayLanguage - Simon Thor (CERN)   ()
15:30 Constructing HEP vectors and analyzing HEP data using Vector - Saransh Chopra (Cluster Innovation Centre, University of Delhi)   ()
16:00 --- BREAK ---
16:30 Matplotlib with HSF Training - Alexander Moreno Briceño (Universidad Antonio Nariño)   ()
17:30 Lessons learned converting a production-grade Python CMS analysis to distributed RDataFrame - Tommaso Tedeschi (Universita e INFN, Perugia (IT)) Vincenzo Eduardo Padulano (Valencia Polytechnic University (ES))   ()
18:00
Social time: Tuesday Meet and Mingle (until 18:30) ()
14:00
Plenary Session Wednesday (until 18:50) ()
14:00 The SuperNova Early Warning System & Software for Studying Supernova Neutrinos - Jost Migenda (King’s College London)   ()
14:30 Python Usage Within the LHCb Experiment - Nathan Grieser (University of Cincinnati (US))   ()
15:00 Basic Physics Analyses Implemented Using Apache Spark. - Luca Canali (CERN)   ()
15:30 Automatic Resource Management with Coffea and Work Queue for analysis workflows - Benjamin Tovar Lopez (University of Notre Dame)   ()
16:00 --- BREAK ---
16:30 Data Management Package for the novel data delivery system, ServiceX, and its application to an ATLAS Run-2 Physics Analysis Workflow - Kyungeon Choi (University of Texas at Austin (US))   ()
17:00 EOS -- A software for Flavor Physics Phenomenology - Danny van Dyk   ()
17:30 Correctionlib - Nick Smith (Fermi National Accelerator Lab. (US))   ()
18:00 pyhepmc: a Pythonic interface to HepMC3 - Hans Peter Dembinski (TU Dortmund)   ()
18:10 What's new in Python 3.11 - Henry Fredrick Schreiner (Princeton University)   ()
14:00
Plenary Session Thursday (until 18:10) ()
14:00 Analysis Optimisation with Differentiable Programming - Mr Nathan Daniel Simpson (Lund University (SE))   ()
15:00 Speeding up differentiable programming with a Computer Algebra System - Mr Remco de Boer (Ruhr University Bochum)   ()
15:30 The pythia8 python interface - Michael Kent Wilkinson (University of Cincinnati (US))   ()
16:00 --- BREAK ---
16:30 End-to-end physics analysis with Open Data: the Analysis Grand Challenge - Alexander Held (University of Wisconsin Madison (US))   ()
17:30 Awkward RDataFrame Tutorial - Ianna Osborne (Princeton University)   ()
18:00 Developing implicitly-parallel Python analysis tools for NOvA - Derek Doyle (Colorado State University)   ()
18:30
Hackashop (until 20:30) ()
18:30 Intro talk - how to get your set-up to "hack around" - Aman Goel (University of Delhi)   ()
14:00
Plenary Session Friday (until 18:30) ()
14:00 Dask Tutorial - Doug Davis   ()
15:00 Uproot + Dask - Kush Kothari   ()
15:10 Enabling Dask Interoperability with XRootD Storage Systems - Scott Demarest (Florida Institute of Technology)   ()
15:20 3D and VR Industrial Use Cases in Python - Francois Gutherz   ()
15:30 Using C++ From Numba, Fast and Automatic - Baidyanath Kundu (Princeton University (US))   ()
16:00 --- BREAK ---
16:30 zfit - binned fits and histograms - Jonas Eschle (University of Zurich (CH))   ()
17:00 abcd_pyhf: Likelihood-based ABCD method for background estimation and hypothesis testing with pyhf - Mason Proffitt (University of Washington (US))   ()
17:30 Pyhf to Combine Converter - Mr Petey Ridolfi   ()
17:40 Scalable, Sparse IO with larcv - Corey Adams   ()
17:50 JetNet library for machine learning in high energy physics - Raghav Kansal (Univ. of California San Diego (US))   ()
18:00 Workshop close-out - Eduardo Rodrigues (University of Liverpool (GB))   ()