Skip to main content
Ctrl+K
zfit 0.28.1.dev75+gbf64092e1 documentation - Home zfit 0.28.1.dev75+gbf64092e1 documentation - Home
  • What’s new?
  • Getting started
  • Tutorials
  • API reference
  • Project
  • Ask a question
  • GitHub
  • What’s new?
  • Getting started
  • Tutorials
  • API reference
  • Project
  • Ask a question
  • GitHub

Section Navigation

  • Introduction tutorial
  • Components
    • Space, Observable and Range
    • Parameter
    • Data
    • Building a model
    • Kernel Density Estimation
    • Loss
    • Minimization
    • Result
    • Toy studies and inference
  • Statistics with zfit
  • Applied Guides
  • Tutorials
  • Components

Components#

This tutorial describes the main components of zfit in more depths. For a brief overview, see also

zfit general#

Variables#

  • Space, Observable and Range
  • Parameter

Data#

  • Data

Model#

  • Building a model
  • Kernel Density Estimation

The following tutorials can also be found in zfit tutorials as Jupyter Notebooks.

Loss#

  • Loss

Minimizer#

  • Minimization

Result#

  • Result

Statistical Inference#

  • Toy studies and inference

previous

Tutorials

next

Space, Observable and Range

On this page
  • zfit general
  • Variables
  • Data
  • Model
  • Loss
  • Minimizer
  • Result
  • Statistical Inference
Edit on GitHub

This Page

  • Show Source

© Copyright 2024, zfit.

Created using Sphinx 9.1.0.

Built with the PyData Sphinx Theme 0.16.1.