ScienceProblem: SolarCoronalWaveHeating

PrimaryActor:

Solar Physicist

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ScienceGoal:

To understand the role and viability of wave-based heating in the solar corona by high-frequency MHD waves.

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DataSets:

The following data should be concurrent with common fields/subfields incorporating the region of interest.

High-Cadence ground-based (primarily optical) and satellite (EUV, X-Ray) preferably imaging datasets in coronal, chromospheric and photospheric lines.

High-cadence photospheric magnetogram data.

Still/rastered satellite images in several coronal lines - thinking particularly of TRACE (especially EUV bands) and SoHO /CDS rastered spectral slit images.

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ProblemDescription:

There need to be co-ordinated high-cadence campaigns by available intruments/observatories, with a particular support from diagnositc instruments like SoHO /CDS. Since this is a solar problem, all available data, spectral and imaging, should conform to the keywords set out in the community's SolarSoft distribution guidelines. Object maps are made from these keywords, and accurate and COMPLETE pointing, timing, cadence and wavelength information would significantly enhance the use of these data and the resulting science.

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CurrentSolution:

The current approach is to have TRACE and CDS support for ground-based observations from either public or proprietary instruments. The satellite data are often time-averaged, particularly in the case of CDS which needs around an hour to make a 240x240 arcsecond^2 raster of a coronal active region. TRACE images are often taken from synoptic

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VOSolution:

Find high-cadence coronal image sequences and be instantly able to pull up the spectroscopic and detailed-image support observations. Choose fields/subfields online and plot side-by-side and/or overlay. Choose sub-subfields and plot integrated time series of velocity, line-width (esp. from ground-based H-alpha wing data) and intensity in the sub-subfield. Be able to run fast Fourier transforms (FFTs) on these data remotely, with support for preliminary wavelet transforms to facilitate the time-localisation of strong and faint wave packets (since these oscillations are expected to be quasi-periodic they may disappear from the FFT of a time series much longer than the packet's duration).

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Discussion:

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KeyReferences:

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GoodStyle: Please add comments below. This area should be used for refinement of the above document. If you want to ask questions or start a dialogue with the author, please use (or create) a topic in the Science Problems Forum. For other ScienceProblems, refer to the ScienceProblemList.
Author: Once the refinements here and comments in the forum die down, perhaps you could rewrite the problem, incorporating the comments and refinements.

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-- DavidWilliams - 18 Apr 2002