The Astrophysical Journal (Jan 2025)

Evidence of Extreme-ultraviolet Resonant Excitation in the Middle Corona during a Solar Flare

  • Daniel B. Seaton,
  • Cooper Downs,
  • Giulio Del Zanna,
  • Matthew J. West,
  • Edward M. B. Thiemann,
  • Amir Caspi,
  • Edward E. DeLuca,
  • Leon Golub,
  • James Paul Mason,
  • Ritesh Patel,
  • Katharine K. Reeves,
  • Yeimy J. Rivera,
  • Sabrina L. Savage

DOI
https://doi.org/10.3847/1538-4357/adcab5
Journal volume & issue
Vol. 985, no. 1
p. 89

Abstract

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We present observations of an eruptive solar flare on 2016 January 6 that occurred behind the solar limb from the perspective of the Earth, but was well observed by the Solar-Terrestrial Relations Observatory (or STEREO) and the Solar Extreme Ultraviolet Monitor on NASA's Mars Atmosphere and Volatile EvolutioN (MAVEN) mission. Light curves showing the evolution of the flare’s irradiance as a function of time taken by MAVEN are well correlated with the brightness evolution of fan structures observed in the Project for On-Board Autonomy 2's Sun Watcher with Active Pixels and Image Processing (SWAP) 174 Å passband, suggesting that the radiance of structures near the flare site was influenced by emission from the flare. Because SWAP did not directly observe the flare itself, this event represents a rare opportunity to study the evolution of emission near a flare without the risk of instrumental scattered light contaminating the observations. We analyze this evolution and implement a simple model to explore the possibility that resonant excitation (RE, also known as resonant scattering) plays an important role in driving coronal extreme-ultraviolet (EUV) emission during flaring events. Our modeling shows that for a large flare, RE could increase emission from nearby structures by about 45%, consistent with our findings that the involved structures observed by SWAP increased in brightness by about 60% during the flare. We conclude that RE may play an important role in driving coronal EUV emission under certain circumstances and should be accounted for in models and emission-based analysis tools.

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