Precise Proper-Motion Measurement of Solar Granulation

Abstract

We describe a powerful cross-correlation technique for the precise measurement of the proper motion of tracers seen on successive images of a time series of solar granulation. The cross correlation is defined as a function of position in the image, within a spatially localized apodization window. The time average of the spatially localized cross correlation gives a measure of the displacement that is not biased by atmospheric seeing. The window size and the seeing define the effective resolution of the vector displacement determination. We use this cross-correlation technique to analyze an 80 minute run of white- light observations made at the Sacramento Peak Vacuum Tower Telescope. Even though geometric distortion due to atmospheric seeing is instantaneously at least 10-20 times larger than the observed scale of the large-scale solar displacements, 100-1000 m/s , its net contribution to the 80 minute average of proper motions is RMS < 20 m/s. The measured vector displacement clearly show solar mesogranulation and super-granulation flows having spatial scales from 10 min to 40 min. The measured amplitude of these flows is significantly larger than the RMS 100 m/s noise which we attribute principally to solar granulation evolution. Keywords: Solar atmospheric motion. Reprints.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1988
Accession Number
ADA205161

Entities

People

  • George W. Simon
  • Laurence J. November

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Classification
  • Correlation Techniques
  • Cross Correlation
  • Data Sets
  • Filtration
  • Ground Based
  • Images
  • Measurement
  • Observatories
  • Power Spectra
  • Precision
  • Solar Observatories
  • Solar Physics
  • Solar Structure
  • Spatial Filtering
  • Spectra

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Image Processing and Computer Vision.
  • Solar Physics

Technology Areas

  • Space