Chapter 4. Data Processing and Analysis

Table of Contents

Basic Operations
Data Leveling and Background Subtraction
Data Editing and Correction
Extended Data Editing
Statistical Analysis
One-Dimensional Roughness Parameters
Grain Analysis
Fourier Transform
Wavelet Transform
Fractal Analysis
Tip Convolution Artefacts
Convolution and deconvolution
Multiple Data
Magnetic force microscopy
Graph Processing
Volume Data Processing
XYZ Data Processing
Synthetic Surfaces
Calibration and uncertainties
Python Scripting

The number and breadth of data manipulation and analysis functions is one of the Gwyddion main strengths. The description of their principles and applications is the purpose of this chapter, with focus on the explanation of how they work and what they calculate or perform. Elements of their user interface are also occasionaly described where it seems useful, nevertheless, it is assumed the reader is familiar with the basic organization of data and controls in Gwyddion, as described in the previous chapter.