A long-duration active region: Evolution and quadrature observations of ejective events. Issue Volume 12:Issue S327(2016) (12th September 2017)

• Record Type: Journal Article
• Authors: Cremades, H.; Mandrini, C. H.; Fuentes, M. C. López; Merenda, L.; Cabello, I.; López, F. M.; Poisson, M.
• Editors: Vargas Domínguez, S.; Kosovichev, A.G.; Antolin, P.; Harra, L.
• Is Part Of: Proceedings of the International Astronomical Union. Volume 12:Issue S327(2016)
• Page Start: 60
• Page End: 66
• Publication Date: 2017-09-12
• Subjects: Sun: activity, -- Sun: coronal mass ejections (CMEs), -- Sun: photosphere, -- Sun: magnetic fields; Astronomy -- Congresses; Astronomy -- Periodicals; 520
• DOI: 10.1017/S174392131700028X
• Languages: English
• ISSNs: 1743-9213

Abstract

Abstract: Unknown aspects of the initiation, evolution, and associated phenomena of coronal mass ejections (CMEs), together with their capability of perturbing the fragile technological equilibrium on which nowadays society depends, turn them a compelling subject of study. While space weather forecasts are thus far not able to predict when and where in the Sun will the next CME take place, various CME triggering mechanisms have been proposed, without reaching consensus on which is the predominant one. To improve our knowledge in these respects, we investigate a long-duration active region throughout its life, from birth until decay along five solar rotations, in connection with its production of ejective events. We benefit from the wealth of solar remote-sensing data with improved temporal, spatial, and spectral resolution provided by the ground-breaking space missions STEREO, SDO, and SOHO. During the investigated time interval, which covers the months July – November 2010, the STEREO spacecraft were nearly 180 degrees apart, allowing for the uninterrupted tracking of the active region and its ensuing CMEs. The ejective aspect is examined from multi-viewpoint coronagraphic images, while the dynamics of the active region photospheric magnetic field are inspected by means of SDO/HMI data for specific subintervals of interest. The ultimate goal of this work in progress is to identify common patterns in the ejective aspect that can be connected with the active region characteristics.