Line measuring algorithm for ionized nebulae
Project description
This library provides a set of tools to fit emission lines from ionized spectra. Its data pipeline aims for a simple and personalised analysis of both single line and Big Data observations. The data labeling and storage has been designed to meet the requirements of the chemical and kinematic analysis of astronomical nebulae.
Getting Started
The current beta version has been developed for the ULS students and researchers.
Installation
The library can be installed directly from its pip project page. To get the current version type:
pip install lime-stable
The current version of LiMe has the following dependencies (please check their documentation if you need to install them):
Numpy
LmFit
Pandas
Matplotlib
The following libraries are not necessary but they provide a richer experience on the library inputs and outputs:
Astropy
PyNeb
PyLatex
Specutils
Development
LiMe is currently in a beta realese. Please check its github for the latest version news and tutorials. Any comment/issue/request can be added as an issue on its github page.
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