Fitting (sofia_redux.toolkit.fitting)

Introduction

The sofia_redux.toolkit.fitting module contains classes and functions that fit functions and models to data sets, and allow evaluation of the fit.

1-Dimensional Model Fitting

• Search Phase
  • 1. Processing function (Optional)
  • 2. Guess function (Optional)
  • 3. Rough Initial Parameter Estimation and the Box Function
  • 4. Identify remaining peaks
• Initial Baseline Fitting
• Final Refined Fit
• Model Functionality
  • Fit Information
  • Evaluating Models
• Further Examples
  • Large Baseline Structure (baseline_func usage and fixing known parameters)
  • Default Behaviour (Over-fitting with composite peaks)

N-Dimensional Polynomial Fitting

• Polynomial Coefficients
• Fit Statistics
  • Covariance
  • Disabling Statistics
  • Robust Outlier Rejection
• Special Case 1-D and 2-D Functions
  • 1-Dimensional Polynomial Derivation and Evaluation
  • 2-Dimensional Polynomial Derivation and Evaluation
  • 2-Dimensional Examples