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Processing methods and approaches for the analysis of images of the eclipsed solar corona taken during campaigns with the participation of amateur astronomers

Published online by Cambridge University Press:  23 December 2021

A. Stoev ,
P. Stoeva Open the ORCID record for P. Stoeva [Opens in a new window] ,
S. Kuzin ,
M. Kostov  and
A. Pertsov
A. Stoev
Affiliation:
Space Research and Technology Institute – Bulgarian Academy of Sciences, Stara Zagora Department, Stara Zagora, Bulgaria
P. Stoeva
Affiliation:
Space Research and Technology Institute – Bulgarian Academy of Sciences, Stara Zagora Department, Stara Zagora, Bulgaria
S. Kuzin
Affiliation:
Lebedev Physical Institute, Russian Academy of Sciences, Russia, Moscow
M. Kostov
Affiliation:
Space Research and Technology Institute – Bulgarian Academy of Sciences, Stara Zagora Department, Stara Zagora, Bulgaria
A. Pertsov
Affiliation:
Lebedev Physical Institute, Russian Academy of Sciences, Russia, Moscow
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Abstract

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The increase in the amount of scientific information in heliophysics is related to both quantitative – increasing the number of high-power telescopes and the size of light receivers coupled to them, and qualitative reasons – new modes of observation, large-scale and multiple studies of the solar corona in different ranges, large-scale numerical experiments to simulate the evolution of various processes and formations, etc. The paper discusses the role and importance of methods for processing images of the solar corona, the store of obtained “raw” data and the need to access high-performance computing systems in order to obtain scientific results from the observational experiments, the need of international collaboration and access to the data in the era of increase in the amount of scientific information in heliophysics.

Keywords

Sun: coronaeclipsestechniques: image processing
Type
Poster Paper
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S367: Education and Heritage in the Era of Big Data in Astronomy , December 2019 , pp. 365 - 367
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of International Astronomical Union

References

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Farivar, R., Brunner, R. J., Santucci, R., et al. 2013, Astronomical Data Analysis Software and Systems XXII, ASP Conf. 475, 91Google Scholar