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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: mancuso@oato.inaf.it
T. S. Lee
Affiliation:
Georgia Gwinnett College, Lawrenceville, GA, USA
C. Taricco
Affiliation:
INAF - Osservatorio Astrofisico di Torino, Pino T.se, Italy email: mancuso@oato.inaf.it Dipartimento di Fisica Generale, Università di Torino, Torino, Italy
S. Rubinetti
Affiliation:
INAF - Osservatorio Astrofisico di Torino, Pino T.se, Italy email: mancuso@oato.inaf.it 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 

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