kpfm 0.3

Kelvin Probe Force Microscopy (KPFM) signal processing utilities.

Kelvin Probe Force Microscopy (KPFM) data analysis.

Motiviation

Collect useful code for custom Kelvin probe force microscopy experiments into a single repository. The motivation for using a single repository is prior experience and this article.

Structure

A tentative structure for the repository is

kpfm
├── __init__.py
├── _version.py
├── experiment
│   └── __init__.py
├── tests
│   ├── __init__.py
│   └── test_kpfm.py
├── scratch
│   ├── __init__.py
│   └── temporary_code.py
└── util
    ├── __init__.py
    └── plot.py

Each experiment is contained in its own module. The util module collects useful functions and decorators that are useful across a range of modules. Tests are placed in the tests module. Scratch contains a place for code that will not be maintained. If a particular experiment or procedure is useful over a longer period, it can be moved to its own experiment module.

Development life cycle of new code

1. Workup data and write provisional code in an IPython notebook

2. If many data files are going to be processed in this way, move the routine to a new module in scratch.

   • Workups in scratch come with no guarantees that they will not break.

   • In practice, it would be useful to create a new copy of the temporary code if there is likely to be significant breakage.

3. If the experiment is useful enough, copy / edit the scratch code and move it to its own experiment folder. In doing so, we commit to leave the experiment in a usable, backward compatible state, which means consistent LabView code for collecting the data, as well as consistent, backward-compatible routines for working up the data.

The idea would be that with a powerful set of utility, signal processing, and data analysis tools in the kpfm package, many analyses could be performed quickly at (1) or (2). Even having a file in scratch (perhaps copied occasionally as the data analysis or LabView code changes significantly) is a significant improvement over code copied between IPython notebooks. The other consideration is that it is a large investment of time to maintain code, so that code related to a “one-off” experiment should be saved, but not maintained.

Features

• TODO

Documentation

The full documentation is at http://kpfm.rtfd.org.

History

0.1.0 (2017-03-28)

• First release on GitHub.