Xija modeling framework

The Xija modeling framework is used to create, calibrate, and compute time-series models. This package provides a generalized framework to model complex time series data using a network of coupled nodes with pluggable model components that define the node interactions. Systems that can be represented by a set of coupled first-order differential equations are candidates for Xija modeling.

At present the model components include thermal conduction and passive and active heating elements, but the framework itself is fairly general and could be used for other applications. A key feature is a GUI fitting application that allows for rapid evaluation of model fit results and interactive many-parameter fits of large time-series datasets using the Sherpa fitting package.

• Design overview
  • Xija features
• Tutorial
  • Setup for Xija modeling
  • Navigating the Xija source
  • Creating and understanding models
  • Working with a model
  • Modifying an existing model
  • Fitting a model
  • Bad Times
  • Exercises
• API docs
  • Model
  • Components
  • Get model spec