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Auto-NUWT

The Automated Northumbria University Wave Tracking code

This code is designed to automatically identify, track, and analyze transverse waves in a series of images. Additionally, this code includes tools for extracting time-distance diagrams from an input data cube as well as convenience functions for the application to solar images.

Citations

If you use this code to produce research results, please cite the following two papers:

Weberg, M. J., Morton, R. J., & McLaughlin, J. A. (2018), ApJ, 852, 57

and

Morton, R. J., Verth, G., Fedun, V., et al. (2013), ApJ, 768, 17

Copyright and Warranty

Auto-NUWT Copyright (C) 2016, 2018 Richard Morton

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Third-party software

For convenience, Auto-NUWT contains a complete and unaltered copy of the MPFIT curve fitting program (Markwardt 2009). MPFIT is open-source and freely available online at http://purl.com/net/mpfit

MPFIT Copyright (C) 1997–2012 Craig Markwardt

Auto-NUWT also includes an assortment of small, open-source, third-party utility scripts. These scripts, along with MPFIT can be found in the ../external/ subfolder. Unless stated otherwise, all external scripts and programs are copyrighted by the original authors and are provided AS-IS and WITHOUT ANY WARRENTY. Addional details can be found in the header text of each script.

Changelog Summary

2016-03-14 --- First public version of the original NUWT code

2018-06-29 --- Pre-public version of Auto-NUWT uploaded to GitHub

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