The Role of the Big Flare Syndrome in Correlations of Solar Energetic Proton Fluxes and Associated Microwave Burst Parameters.

Abstract

In previous studies correlating E > 10 MeV proton fluxes and spectra with various associated microwave burst parameters, the resulting high correlations were assumed to reflect a common acceleration process for the protons and the microwave-emitting electrons. We suggest and test an alternative explanation for these correlations, which we term the Big Flare Syndrome (BFS), that states that, statistically, energetic flare phenomena are more intense in larger flares, regardless of the detailed physics. Peak 1-8 A X-ray fluxes, characteristic of the thermal flare, are correlated with peak proton fluxes to derive correlation coefficients characteristics of the BFS. Of all microwave parameters tested for the 1973-1979 period, only the time-integrated flux densities at 8800 and 15400 MHz may be significantly larger than expected form the BFS. We fail to confirm previous results associating peak proton spectra with peak microwave spectral characteristics, thus finding no evidence that peak microwave fluxes are indicative of proton acceleration. We extend this conclusion to peak hard X-ray correlations. The strongly nonlinear relationship deduced between flare energy and proton production also appears invalid. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 21, 1981
Accession Number
ADA109806

Entities

People

  • Stephen W. Kahler

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Corpuscular Radiation
  • Cosmic Rays
  • Detectors
  • Flux Density
  • Geophysics
  • Hard X Rays
  • Observatories
  • Physics
  • Physics Laboratories
  • Polar Cap
  • Scattering
  • Soft X Rays
  • Solar Cosmic Rays
  • Solar Flares
  • Space Environments
  • X Rays

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Medical Imaging.
  • Pulsed Power and Plasma Physics.

Technology Areas

  • Microelectronics