Welcome to mastercurves’s documentation!

mastercurves is a Python package for automatically superimposing data sets to create a master curve, using Gaussian process regression and maximum a posteriori estimation.

Check out the Quick Start section for more information on getting started, including an Installation guide.

Note

This project is under active development. Check back for updates!

Contents

Introduction

• mastercurves
  • Citing
  • News
  • Installation
  • Contributing
• Automated Data Superposition
  • Gaussian Process Regression
  • Maximum A Posteriori Estimation
• Quick Start
  • Installation
  • Creating a master curve
  • Adding data to a master curve
  • Defining the coordinate transformations
  • Superposing the data
  • Plotting the results

Tutorials

• Tutorial: Creating a Master Curve
  • Import Packages
  • Creating Synthetic Data
  • Creating the Master Curve
  • Plotting the Master Curve
  • Analyzing the Shift Factors
• Tutorial: Adjusting the Gaussian Process Kernel
  • Changing the Gaussian Process Kernel
  • Changing the Hyperparameter Bounds

Demos

• Time-Temperature Superposition
  • Import Packages
  • Loading the Data
  • Creating the Master Curve
  • Plotting the Results
• Sensitivity to Noisy Data
  • Adding Noise to Data
  • Creating and Plotting the Master Curve
  • Comparing Shift Factors

API

• MasterCurve
  • MasterCurve
• Transforms
  • Multiply
  • PowerLawAge