Name: pyhf Users and Developers Workshop 2023
Start: 2023-12-04T09:00:00+01:00
End: 2023-12-08T17:00:00+01:00
Location: CERN

pyhf Users and Developers Workshop 2023

from Monday 4 December 2023 (09:00) to Friday 8 December 2023 (17:00)

Monday 4 December 2023
10:00 pyhf users introduction
pyhf users introduction
10:00 - 11:40
Room: 222/R-003
Contributions

10:00 Workshop welcome - Matthew Feickert (University of Wisconsin Madison (US))

10:10 pyhf Overview and Basic Tutorial - Giordon Holtsberg Stark (University of California,Santa Cruz (US))

11:00 Constructing and steering pyhf models with cabinetry - Alexander Held (University of Wisconsin Madison (US))
11:40 Feedback from LHC experiments
Feedback from LHC experiments
11:40 - 12:10
Room: 222/R-003
Contributions

11:40 Modernizing the ATLAS Statistical Analysis: Implementing HistFitter Strategies with pyhf in Supersymmetry search - Vangelis Kourlitis (Technische Universitat Munchen (DE))
14:00 Feedback from LHC experiments
Feedback from LHC experiments
14:00 - 16:00
Room: 304/1-007
Contributions

14:00 abcd_pyhf: Likelihood-based ABCD method for background estimation and hypothesis testing with pyhf - Mason Proffitt (University of Washington (US))

14:30 The HEP Statistics Serialization Standard (HS³) - Carsten Burgard (Technische Universitaet Dortmund (DE)) Robin Pelkner (Technische Universitaet Dortmund (DE))

15:00 HEPExplorer, an interactive visualization tool for pyhf HistFactory workspaces. - Abe Megahed (Data Science Institute, University of Wisconsin-Madison)

15:30 WorkspaceExplorer - Volker Andreas Austrup (University of Manchester (GB))
Tuesday 5 December 2023
10:00 Feedback from Theory and HEPData
Feedback from Theory and HEPData
10:00 - 11:30
Room: 6/R-012 - conference room
Contributions

10:00 HEPData and pyhf - Graeme Watt

10:30 Signal region combination in CheckMATE - Iñaki Lara Perez

11:00 Staying on Top of likelihood analyses: Using pyhf in the context of global SMEFT analyses with SFitter - Nikita Schmal
14:00 Feedback from Flavor and Neutrino Physics
Feedback from Flavor and Neutrino Physics
14:00 - 17:20
Room: 6/R-012 - conference room
Contributions

14:00 Searching for BSM physics with the MicroBooNE detector - Luis Alberto Mora Lepin (University of Manchester (GB))

14:30 Introduction to the Belle II collaboration and feedback from its analyzers - Fabian Becherer (DESY)

15:00 Feedback from SModelS - Sabine Kraml (LPSC Grenoble)

15:30 Coffee/Tea Break

16:00 Usage of full likelihoods in reinterpretation studies - Jack Y. Araz (Jefferson Lab)

16:30 A decade of HistFactory - Kyle Stuart Cranmer (University of Wisconsin Madison (US))

17:00 Introducing the FAIROS-HEP Research Coordination Network - Kyle Stuart Cranmer (University of Wisconsin Madison (US))
18:00 ATLAS Cavern Underground Tour
ATLAS Cavern Underground Tour
18:00 - 19:00
Room: ATLAS Cavern

19:30 Users Social Dinner
Users Social Dinner
19:30 - 21:30
Wednesday 6 December 2023
10:00 Discussion of Common Problems
Discussion of Common Problems
10:00 - 12:00
Room: 40/2-A01
Contributions

10:00 Discussion of Common Problems - Giordon Holtsberg Stark (University of California,Santa Cruz (US)) Matthew Feickert (University of Wisconsin Madison (US))
14:00 Discussions of New Ideas
Discussions of New Ideas
14:00 - 16:00
Room: 40/R-B10
Contributions

14:00 Discussion of New Ideas - Giordon Holtsberg Stark (University of California,Santa Cruz (US)) Lukas Alexander Heinrich (Technische Universitat Munchen (DE)) Matthew Feickert (University of Wisconsin Madison (US))
16:00 Group Photo - Matthew Feickert (University of Wisconsin Madison (US)) Giordon Holtsberg Stark (University of California,Santa Cruz (US))
Group Photo
- Matthew Feickert (University of Wisconsin Madison (US))
- Giordon Holtsberg Stark (University of California,Santa Cruz (US))
16:00 - 16:10
Room: 40/R-B10
16:10 Users Sessions Closeout
Users Sessions Closeout
16:10 - 16:40
Room: 40/R-B10
Thursday 7 December 2023
10:00 dilax: Differentiable Binned Likelihoods in JAX - Manfred Peter Fackeldey (RWTH Aachen University (DE))
dilax: Differentiable Binned Likelihoods in JAX
- Manfred Peter Fackeldey (RWTH Aachen University (DE))
10:00 - 10:30
Room: 53/R-044 `dilax` is a software package for statistical inference with binned likelihoods. It focusses on three key concepts: performance, differentiability, and object-oriented statistical model building. Thus, `dilax` is build upon the shoulders of a deep learning giant: JAX - a popular autodifferentiation Python framework. By making *every* component in `dilax` a `PyTree`, each component can be jit-compiled (`jax.jit`), vectorized (`jax.vmap`) and differentiated (`jax.grad`). This does not only fulfil all key concepts, but also enables novel computational concepts, such as running thousands of fits simultaneously on a GPU. We present the key concepts of `dilax`, show its features, and discuss performance benchmarks with toy datasets.
10:30 Development Onboarding
Development Onboarding
10:30 - 11:00
Room: 40/2-A01
11:00 Birds of a Feather
Birds of a Feather
11:00 - 12:00
Room: 40/2-A01
Contributions

11:00 BoF Overview - Giordon Holtsberg Stark (University of California,Santa Cruz (US)) Lukas Alexander Heinrich (Technische Universitat Munchen (DE)) Matthew Feickert (University of Wisconsin Madison (US))

11:15 BoF Breakouts (TBD) - Giordon Holtsberg Stark (University of California,Santa Cruz (US)) Lukas Alexander Heinrich (Technische Universitat Munchen (DE)) Matthew Feickert (University of Wisconsin Madison (US))
14:00 Sprints
Sprints
14:00 - 16:30
Room: 40/2-A01

17:00 Sprints Social Dinner
Sprints Social Dinner
17:00 - 18:30
Friday 8 December 2023

10:00 Sprints
Sprints
10:00 - 16:00
Room: 53/R-044

16:00 Developers Closeout
Developers Closeout
16:00 - 16:20
Room: 53/R-044

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