Speaker
Alexander Held
(University of Wisconsin Madison (US))
Description
The cabinetry library provides interfaces and functionality for both the creation and use of statistical models together with pyhf. Models can be built from instructions provided in a declarative configuration. A high-level inference API and visualization utilities help study and disseminate fit results.
This talk will provide an overview of cabinetry and also highlight recent additions and ongoing developments.
Author
Alexander Held
(University of Wisconsin Madison (US))
