Application of Solar Seismology to Study of the Convection Zone.

Abstract

In the 1970's an observational technique for the study of solar oscillations with periods longer than 5 min was developed at SCLERS. The technique yields information about the temperature eigenfunction of an oscillation at the extreme solar limb. The primary goal of the observational program for 1982-1986 was to use this technique to systematically increase the data base for the study of solar oscillations. Because of the complexity of the eigenfrequency spectrum and because of the relatively small signals produced by the oscillations, the analysis of the observations for identification and classification of modes of oscillations has proved to be very difficult. The main objective of the data analysis program for 1982-1086 was to develop analysis techniques which would lead to mode classifications based on the SCLERA differential radius observations and on the combination of the differential radius observations with differential velocity observations. The goal of the theoretical program has been the inversion of the multiplet fine structure obtained in the data analysis program in order first to test if for internal consistency and second infer information about the radial and latitudinal dependence of the internal rotation of the sun.

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Document Details

Document Type
Technical Report
Publication Date
Apr 22, 1987
Accession Number
ADA181135

Entities

People

  • Henry A. Hill

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Classification
  • Convection
  • Coordinate Systems
  • Crystal Lattice Vibrations
  • Data Acquisition
  • Data Analysis
  • Databases
  • Detection
  • Detectors
  • Doppler Effect
  • Identification
  • Integral Equations
  • Observation
  • Observatories
  • Power Spectra
  • Production Rate
  • Spectra

Readers

  • Calculus or Mathematical Analysis
  • Neural Network Machine Learning.
  • Space/Atmospheric Physics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference