.. image:: https://zenodo.org/badge/34264624.svg :target: https://zenodo.org/badge/latestdoi/34264624
Specidentify is for identifying spectral lines and calibrating spectroscopic observations.
The latest version of the package can currently be installed directly from GitHub::
pip install git+https://github.com/crawfordsm/specidentify.gitTo install v0.1.0 of specidentify with pip <https://pip.pypa.io/en/latest/>_, simply run::
pip install specidentifyAll contributions to specidentify are very welcome!
This repository is based on work that I initially produced over 10 years ago. While I still have some use for it, this is now maintained as a hobby and not part of my full time job. As such, my ability to respond may be very limited, but any contributions are very much appreciated and welcomed!
These can be in the form of feedback (please open an issue to let me know what you think), pull requests (please feel free to improve or add to the repository), citing it if you do find it useful, or sharing it if it might be of help to others.
Also please feel free to reach out to me via email or twitter !
Specidentify follows the Astropy Code of Conduct_ and strives to provide a
welcoming community to all of our users and contributors.
A notebook_ is provided with an example of
calibrating a 1D spectrum using the interactive ArcIdentify class.
An earlier version of the package is demostrated in the iraf notebook_
showing how to use specidentify on IRAF data. Unfortunately, the link to the data that the
notebook was based on is no longer available. If you might know where a public version of that data are, please let me know.
.. _email: crawfordsm@gmail.com .. _twitter: https://twitter.com/astrocrawford/ .. _notebook: https://github.com/crawfordsm/specidentify/blob/master/docs/notebook/arcwidget_tutorial.ipynb .. _iraf notebook: https://github.com/crawfordsm/specidentify/blob/master/docs/notebook/iraf_specreduce_tutorial.ipynb .. _Astropy Code of Conduct: https://www.astropy.org/about.html#codeofconduct