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Multivariate analysis of intermediate periodicities of the green corona

Published online by Cambridge University Press:  27 November 2018

S. Mancuso ,
T. S. Lee ,
C. Taricco  and
S. Rubinetti
S. Mancuso
Affiliation:
INAF - Osservatorio Astrofisico di Torino, Pino T.se, Italy email: [email protected]
T. S. Lee
Affiliation:
Georgia Gwinnett College, Lawrenceville, GA, USA
C. Taricco
Affiliation:
INAF - Osservatorio Astrofisico di Torino, Pino T.se, Italy email: [email protected] Dipartimento di Fisica Generale, Università di Torino, Torino, Italy
S. Rubinetti
Affiliation:
INAF - Osservatorio Astrofisico di Torino, Pino T.se, Italy email: [email protected] Dipartimento di Fisica Generale, Università di Torino, Torino, Italy
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Abstract

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Solar activity is observed to fluctuate with time, undergoing a wide range of periodicities from minutes up to thousands of years as evinced from proxies based on cosmogenic isotopes. In this work, we apply Multichannel Singular Spectrum Analysis (MSSA), a data-adaptive, multivariate technique that simultaneously exploits the spatial and temporal correlations of the input data to extract common modes of variability to investigate the intermediate quasi-periodicities of the green coronal emission line at 530.3 nm for the period between 1944 and 2008. A preliminary MSSA analysis confirms the presence of significant quasi-biennial oscillations in the data with amplitude varying significantly with time and latitude. On the other hand, a clear North-South asymmetry is observed both in their intensity and period distribution.

Keywords

Sun: coronaSun: evolutionmethods: data analysis
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 13 , Symposium S340: Long-term Datasets for the Understanding of Solar and Stellar Magnetic Cycles , February 2018 , pp. 57 - 58
Copyright
Copyright © International Astronomical Union 2018 

References

Bazilevskaya, G., et al. 2014, Space Sci. Revs, 186, 359Google Scholar
Benevolenskaya, E. E., 1998, ApJ, 509, L49Google Scholar
Ghil, M., Allen, M. R., Dettinger, M. D., et al. 2002, Rev. Geophys., 40, 1003Google Scholar
Mancuso, S. & Raymond, J. C., 2015, A&A, 573, A33Google Scholar
Mancuso, S., Raymond, J. C., Rubinetti, S., & Taricco, C., 2016, A&A, 592, L8Google Scholar
Rybansky, M., Rusin, V., Minarovjech, M., & Gaspar, P., 1994, Solar Phys., 152, 153Google Scholar
Taricco, C., Mancuso, S., Ljungqvist, F. C., Alessio, S., & Ghil, M., 2015a, Clim. Dyn., 45, 83Google Scholar
Taricco, C., Vivaldo, G., Alessio, S., Rubinetti, S., & Mancuso, S., 2015b, Clim. of Past, 11, 509Google Scholar
Vautard, R. & Ghil, M., 1989, Physica D Nonlinear Phenomena, 35, 395Google Scholar
Wang, Y. & Sheeley, N. R. Jr, 2003, ApJ, 590, 1111Google Scholar
Zaqarashvili, T. V., Carbonell, M., Oliver, R., & Ballester, J. L., 2010, ApJ, 709, 749Google Scholar