PyHEP.dev is an in-person, informal workshop for developers of Python software in HEP to plan a coherent roadmap and make priorities for the upcoming year. It complements the PyHEP Users online workshop, which is intended for both developers and physicists.
Both PyHEP workshops are supported by the HEP Software Foundation (HSF). Further information is on the PyHEP Working Group website.
You are encouraged to register to the PyHEP WG Gitter channel and/or to the HSF forum to receive further information concerning the organisation of the workshop.
Program
The agenda will consist of morning kick-off talks and afternoon discussions, in which the discussion groups and topics are self-assigned. Pre-workshop organization is happening here, via GitHub Issues.
The following topics can be expected for discussions and hacking sessions:
- Statistical tooling
- Scaling HEP analyses with dask & plans for dask-awkward
- Autodifferentation of HEP analyses (clarifying plans & scope)
- Serialization: Histograms (UHI), RNTuple, HS3
- Workflows for HEP analyses
Organising Committee
Peter Fackeldey - Princeton University
Ianna Osborne - Princeton University
Nikolai Krug - Ludwig Maximilian University of Munich
Marcel Rieger - Hamburg University
Matthew Feickert - University of Wisconsin-Madison
Local Organising Committee
Gordon Watts - University of Washington
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This event is also kindly sponsored by the Python Software Foundation. |
The call for abstracts is open
You can submit an abstract for reviewing.
Registration
Registration for this event is currently open.
