Welcome to TensorWaves!

TensorWaves originates from pycompwa, which did its computations through a function tree that is similar to TensorFlow graphs and SymPy expression trees. The decision to use Python only has been further inspired by TensorFlowAnalysis, AmpliTF and zfit.

TensorWaves is a fitter package that optimizes mathematical models to data samples. The models can be any mathematical expression (best expressed with sympy) that is then converted to any computational backend. In addition, the tensorwaves.data module allows one to generate toy data samples.

Click here for a quick demo

Table of contents

• Installation
• Usage
  • Overview
    • Construct a model
    • Generate data sample
    • Optimize the model
  • Step-by-step workflow
    • Step 1: Create amplitude model
    • Step 2: Generate data samples
    • Step 3: Perform fit
    • Core ideas illustrated
    • Analytic continuation
    • Speed up lambdifying
• API
  • data
    • phasespace
    • transform
  • optimizer
    • callbacks
    • minuit
    • scipy
  • estimator
  • interfaces
  • model
  • physics
• Changelog
• Upcoming features
• Develop

• Python API

• General Index

• Search