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Automated Detection of Oscillating Regions in the Solar AtmosphereRecently observed oscillations in the solar atmosphere have been interpreted and modeled as magnetohydrodynamic wave modes. This has allowed for the estimation of parameters that are otherwise hard to derive, such as the coronal magnetic-field strength. This work crucially relies on the initial detection of the oscillations, which is commonly done manually. The volume of Solar Dynamics Observatory (SDO) data will make manual detection inefficient for detecting all of the oscillating regions. An algorithm is presented that automates the detection of areas of the solar atmosphere that support spatially extended oscillations. The algorithm identifies areas in the solar atmosphere whose oscillation content is described by a single, dominant oscillation within a user-defined frequency range. The method is based on Bayesian spectral analysis of time series and image filtering. A Bayesian approach sidesteps the need for an a-priori noise estimate to calculate rejection criteria for the observed signal, and it also provides estimates of oscillation frequency, amplitude, and noise, and the error in all of these quantities, in a self-consistent way. The algorithm also introduces the notion of quality measures to those regions for which a positive detection is claimed, allowing for simple post-detection discrimination by the user. The algorithm is demonstrated on two Transition Region and Coronal Explorer (TRACE) datasets, and comments regarding its suitability for oscillation detection in SDO are made.
Document ID
20110013497
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Ireland, J.
(ADNET Systems, Inc. Potomac, MD, United States)
Marsh, M. S.
(University of Central Lancashire, Preston Lancashire, United Kingdom)
Kucera, T. A.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Young, C. A.
(ADNET Systems, Inc. Potomac, MD, United States)
Date Acquired
August 25, 2013
Publication Date
July 14, 2010
Publication Information
Publication: Solar Physics
Volume: 264
Subject Category
Solar Physics
Report/Patent Number
GSFC.JA.4553.2011
Funding Number(s)
CONTRACT_GRANT: NNG08EL33C
Distribution Limits
Public
Copyright
Other

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