Spectrally refined interferometry for Python
Project description
PySprint
Spectrally Refined Interferometry for Python
Name | PySprint |
Version | |
Development status | Pre-Alpha |
License |
Description & Features
PySprint provides an interface for Spectrally resolved interferometry in Python.
- âś“ Minimum-maximum method
- âś“ Phase modulated cosine function fit method
- âś“ Fourier method
- âś“ Stationary phase point method
There's many more to work on..
- Windowed Fourier transform method
- Automated SPP detection, which is correctable by the user
- Better SPP interface: make the constructor accept
~pysprint.Dataset
objects. - Calibration
- Improve file parsing
- Clean up utils, evaluate methods, edit methods
- Docstrings
Currently all the features are under testing.
Installation
PySprint requires at least Python 3.6 to run.
$ pip install pysprint
Requirements:
- numpy
- scipy
- matplotlib
- pandas
Optional packages:
- lmfit - for detailed curve fitting results
- numba - to speed up non uniform FFT calculation
Will be released on Anaconda Cloud after the testing is done.
Documentation
In progress.
Project details
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