4.6 Article

Determination of Differential Emission Measure from Solar Extreme Ultraviolet Images

Journal

ASTROPHYSICAL JOURNAL LETTERS
Volume 856, Issue 1, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.3847/2041-8213/aab436

Keywords

magnetic reconnection - methods; data analysis - Sun; corona - Sun; flares - Sun; UV radiation - Sun; X-rays; gamma rays

Funding

  1. Strategic Pioneer Program on Space Science, Chinese Academy of Sciences [XDA15052200, XDA15320300, XDA15320301]
  2. Thousand Young Talents Plan, a sub-program of the 1000 Talent Plan
  3. Austrian Science Fund (FWF) [P27292-N20]
  4. NASA [NNG04EA00C, NNX14AI14G]
  5. Royal Society University Fellowship
  6. NSFC [U1631242, U1731241]
  7. CAS [U1631242, U1731241]
  8. NASA [681414, NNX14AI14G] Funding Source: Federal RePORTER
  9. Austrian Science Fund (FWF) [P27292] Funding Source: Austrian Science Fund (FWF)

Ask authors/readers for more resources

The Atmospheric Imaging Assembly (AIA) on board the Solar Dynamic Observatory (SDO) has been providing high-cadence, high-resolution, full-disk UV-visible/extreme ultraviolet (EUV) images since 2010, with the best time coverage among all the solar missions. A number of codes have been developed to extract plasma differential emission measures (DEMs) from AIA images. Although widely used, they cannot effectively constrain the DEM at flaring temperatures with AIA data alone. This often results in much higher X-ray fluxes than observed. One way to solve the problem is by adding more constraint from other data sets (such as soft X-ray images and fluxes). However, the spatial information of plasma DEMs are lost in many cases. In this Letter, we present a different approach to constrain the DEMs. We tested the sparse inversion code and show that the default settings reproduce X-ray fluxes that could be too high. Based on the tests with both simulated and observed AIA data, we provided recommended settings of basis functions and tolerances. The new DEM solutions derived from AIA images alone are much more consistent with (thermal) X-ray observations, and provide valuable information by mapping the thermal plasma from similar to 0.3 to similar to 30 MK. Such improvement is a key step in understanding the nature of individual X-ray sources, and particularly important for studies of flare initiation.

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