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A Python-based interface to examine motions in time series of solar images

Published online by Cambridge University Press:  12 September 2017

J. I. Campos-Rozo Open the ORCID record for J. I. Campos-Rozo [Opens in a new window]  and
S. Vargas Domínguez
J. I. Campos-Rozo
Affiliation:
Observatorio Astronómico Nacional, Universidad Nacional de Colombia, Bogotá, Colombia email: jicamposr@unal.edu.co
S. Vargas Domínguez
Affiliation:
Observatorio Astronómico Nacional, Universidad Nacional de Colombia, Bogotá, Colombia email: svargasd@unal.edu.co
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Abstract

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Python is considered to be a mature programming language, besides of being widely accepted as an engaging option for scientific analysis in multiple areas, as will be presented in this work for the particular case of solar physics research. SunPy is an open-source library based on Python that has been recently developed to furnish software tools to solar data analysis and visualization. In this work we present a graphical user interface (GUI) based on Python and Qt to effectively compute proper motions for the analysis of time series of solar data. This user-friendly computing interface, that is intended to be incorporated to the Sunpy library, uses a local correlation tracking technique and some extra tools that allows the selection of different parameters to calculate, vizualize and analyze vector velocity fields of solar data, i.e. time series of solar filtergrams and magnetograms.

Keywords

GUISolar PhysicsPythonSunpyLCT
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S327: Fine Structure and Dynamics of the Solar Atmosphere , October 2016 , pp. 25 - 27
Copyright
Copyright © International Astronomical Union 2017 

References

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