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Determination of Differential Emission Measure from Solar Extreme Ultraviolet Images
Author(s) -
Yang Su,
Astrid Veronig,
I. G. Hannah,
Mark C. M. Cheung,
B. R. Dennis,
Gordon D. Holman,
Weiqun Gan,
Youping Li
Publication year - 2018
Publication title -
the astrophysical journal letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.376
H-Index - 489
eISSN - 2041-8213
pISSN - 2041-8205
DOI - 10.3847/2041-8213/aab436
Subject(s) - extreme ultraviolet lithography , extreme ultraviolet , observatory , solar flare , flare , remote sensing , physics , inversion (geology) , image resolution , thermal , plasma , computer science , astrophysics , environmental science , meteorology , optics , geology , paleontology , laser , structural basin , quantum mechanics
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 ~0.3 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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