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Signals of solar cosmic ray flux variations inferred from the noise in raw CCD solar images taken by SOHO/EIT
Author(s) -
Oh Suyeon,
Park Hyungmin,
Yi Yu,
Chae Jongchul
Publication year - 2014
Publication title -
journal of geophysical research: space physics
Language(s) - English
Resource type - Journals
eISSN - 2169-9402
pISSN - 2169-9380
DOI - 10.1002/2013ja019142
Subject(s) - cosmic ray , physics , flux (metallurgy) , pamela detector , neutron monitor , astrophysics , cosmic cancer database , telescope , noise (video) , astronomy , solar flare , ultra high energy cosmic ray , materials science , artificial intelligence , computer science , metallurgy , image (mathematics)
The noise embedded in the raw data in one scientific discipline has sometimes been proven to be a valuable signal for another discipline, and there are examples throughout science history. The solar images taken by the solid state detectors (CCDs) of the Sun monitoring satellites are usually cleaned by removing the traces of cosmic rays on the raw CCD data files. Thus, while applying the method of removing the cosmic ray traces, we may be able to estimate the cosmic ray flux by counting the number of traces. The net cosmic ray flux is the sum of galactic cosmic rays and solar‐originating particles. The latter are seen as highly transient flux changes related to solar eruptions. We can identify this kind of “cosmic ray” event from the association with phenomena revealed in processed solar images, and we show this using the data of SOHO/extreme ultraviolet imaging telescope (EIT). On the other hand, the estimated cosmic ray flux in the steady state is anticorrelated with solar cycle sunspot number. The profiles of estimated solar cosmic ray flux showing significant increase are found to be strongly correlated with the ground neutron monitor ground level enhancements. Additionally, the profile of estimated cosmic ray flux is consistent with that of the GOES P6 channel. It indicates that the particles with energy higher than 80 MeV may mainly produce the tracks on CCD of EIT. In conclusion, the raw solar images are valuable data for estimating both long‐term cosmic ray variations and transient solar particles events.