Emergence of Twisted Magnetic Flux into the Corona

Abstract

The overall goal of this proposal has been to describe the emergence, evolution, and eruption of magnetic flux ropes in the %corona. The following achievements are noted: 1. A numerical model of magnetic flux emergence (Fan and Gibson, 2003;2004,' Fan, 2005), demonstrating both flux rope equilibria and instabilities leading to eruptions. 2. A numerical model of dynamic magnetic flux emergence (Manchester et at., 2004; Fan, 2004). 3. A comparison of model predictions to CME precursor observations, including X-ray sigmoids and associated filaments, and rotating sunspots (Gibson et at., 2004; 2005a), and a comprehensive observational analysis of white light cavities in quiescent streamers (Gibson et at., 2005b). 4. An analytic flux rope model (Gibson et at., 2002) allowing parameterized studies of magnetic free energy 5. Tests of standard observational analysis techniques such as helicity injection (Gibson et at., 2004), inference of magnetic twist (Leka et at., 2005), and coronal field extrapolations (Barnes et at., 2005a; 2005b). 6. A comparison of equilibrium states, eruptive properties and observables for 3D vs. 2D models (Fan and Gibson, 2005) 7. A comparison of flux rope simulations with sigmoid evolution, including the demonstration of partially erupting flux ropes.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2005
Accession Number
ADA437321

Entities

People

  • K. D. Leka
  • Sarah Gibson
  • Yuhong Fan

Organizations

  • National Center for Atmospheric Research

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Energy
  • Extrapolation
  • Free Energy
  • Instability
  • Magnetic Fields
  • Magnetic Flux
  • Personal Information Managers
  • Physical Properties
  • Simulations
  • Solar Corona
  • Solar Physics
  • Space Weather
  • Standards
  • Three Dimensional
  • Two Dimensional
  • White Light
  • X Rays

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Solar Physics
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference