Published July 10, 2024
| Version v1
Poster
Open
zfit: scalable pythonic likelihood fitting
Authors/Creators
- 1. Syracuse University
- 2. Proton AG
- 3. Argusa
- 4. University of Zurich
- 5. Rice University
Contributors
- 1. GDI
- 2. SLB
- 3. University of North Carolina
- 4. Curvenote
- 5. Deloitte
- 6. Aptos
- 7. Arm
Description
zfit is a highly scalable and customizable model manipulation and likelihood fitting library. It uses the same computational backend as TensorFlow and is optimised for simple and direct manipulation of probability density functions.
Files
zfit_poster_scipy2024_JE_landscape.pdf
Files
(1.6 MB)
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