Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-23T16:23:24.057Z Has data issue: false hasContentIssue false

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
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
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

Type
Poster Paper
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of International Astronomical Union

References

Zhang, Y. & Zhao, Y. 2015, Data Science Journal, 14, 11 CrossRefGoogle Scholar
Farivar, R., Brunner, R. J., Santucci, R., et al. 2013, Astronomical Data Analysis Software and Systems XXII, ASP Conf. 475, 91Google Scholar