Applying Fourier and Variable Sine Algorithmic Analysis to Solar Data

Details Applying Fourier and Variable Sine Algorithmic Analysis to Solar Data Applying Fourier and Variable Sine Algorithmic Analysis to Solar Data

Dec 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aspc..416..533r&link_type=abstract

Solar-Stellar Dynamos as Revealed by Helio- and Asteroseismology: GONG 2008/SOHO 21 ASP Conference Series, Vol. 416, proceedings

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Observations of the solar magnetic cycle via sunspots and other indicators show varying periods and amplitudes that may be better understood through time series analysis. We analyze the solar cycle by applying a new method, the Variable Sine Algorithmic Analysis (VSAA) to sunspot observations and carbon-14 tree ring data. The VSAA algorithm and applications were discussed by Tsantilas and Rovithis-Livaniou at the June 2008 HELAS asteroseismology workshop in Wroclaw. We hope to gain a better understanding of solar cycle variations such as the Maunder Minimum that might be useful to predicting future solar cycle variations.

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