Conveners
Fitting & statistics
- Mariel Pettee (Yale University (US))
- Jim Pivarski (Princeton University)
Description
PACIFIC TIME ZONE SESSION 4
15h00 - 16h00 PDT, 00h00 - 01h00+1 CET, 03h30+1 - 04h30+1 IST, 06h00+1 - 07h00+1 CST, 07h00+1 - 08h00+1 JST
We review the two algorithms that compute fit uncertainties in virtually any HEP fit, HESSE and MINOS from the MINUIT project. We will discuss the theoretical foundation of these algorithms, how MINUIT implements them, and practical aspects such as computational speed. On toy examples, we will study the frequentist coverage probability of confidence intervals computed with both methods.
zfit is a model fitting library based on top of TensorFlow and built for customization. It can build models, load data, create and optimize losses. hepstats is a package for statistical inference and is build on top of the zfit interface, and can therefore use models and losses built in zfit directly.
In this tutorial, we propose to split the tutorial into two parts (switching speaker...
SModelS is an automatic, public python tool for interpreting simplified-model results from searches for new physics at the LHC. It is based on a general procedure to decompose Beyond the Standard Model (BSM) collider signatures presenting a Z2 symmetry into Simplified Model topologies. Our method provides a way to cast BSM predictions for the LHC in a model independent framework, which can be...
zfit is a model fitting library completely implemented in Python and based on the Deep Learning framework TensorFlow. With the recent release of TensorFlow 2.0, the structure of the TensorFlow library, as well as zfit, fundamentally changed; what was before a head-twisting exotic graph building library became a numpy-like, JIT compilable computational backend. It works with Numpy compatible...
