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A comprehensive package for the analysis of kinetic data.

Project description

Documentation Status License: GPL v3 https://anaconda.org/erdzeichen/kimopack/badges/installer/conda.svg https://badge.fury.io/py/KiMoPack.svg https://anaconda.org/erdzeichen/kimopack/badges/latest_release_date.svg https://mybinder.org/badge_logo.svg https://zenodo.org/badge/400527965.svg

KiMoPack

KiMoPack is a project for the handling of spectral data measure at multiple time-points. The current design is optimised for the use with optical transient absorption data, but it has been successfully adapted for the use with transient x-ray emission and spectro-electro chemistry data.

It focuses on the main tasks an experimentator has: Loading and shaping of experiments, plotting of experiments, comparing of experiments, analysing experiments with fast and/or advanced fitting routines and saving/exporting/presenting the results.

For typical use a series of juypter notebooks are provided that guide through the a number of different use scenarios, and are suggesting the parameter that are typically set.

Installation

The basis of the program is a module called “plot_func.py” that contains all the necessary functions and classes. We provide a series of jupyter based work flow packages that guide the user through a series of typical tasks during the analysis of optical transient absorption data and that we strongly recommend. The files can be downloaded from the github directory https://github.com/erdzeichen/KiMoPack and manually installed (added to the path). Alternatively we recommend the usage of the usual python install commands “pip” or if the distribution is using the Anaconda package manager, The conda type installation. For both please open a command line (e.g. using “cmd” in windows) and execute the following commands. The Jupyter notebooks are copied during the install process. The notebooks can also be downloaded from the github server https://github.com/erdzeichen/KiMoPack.

Install using “pip”:

$ pip install KiMoPack

Upgrade if already installed:

$ pip install KiMoPack -U

Install and update using “conda” from the channel erdzeichen:

$ conda install -c erdzeichen kimopack

Citation

We have written and submitted a paper introducing the toolbox. Until thisis published you can cite the Zenodo release under DOI:10.5281/zenodo.5720587

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