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Optimizing spectroheliogram deconvolution methods : MaGIXS - A case studyOver the past five years, new methods to reconstruct spectrally pure maps of the Sun from spectroheliogram data have emerged. In particular, with the rebirth of long-abandoned slitless imaging spectroscopy, one may obtain both spatial and spectral information over a large field of view simultaneously. Yet, depending on the size of the extended source combined with the extent of spectral dispersion, there will be locations in the focal plane where spectral lines from different spatial locations overlap and must be deconvolved. An unfolding method has been successfully developed and demonstrated on the recent rocket flight MaGIXS, which observed several strong emission lines (9 to 30$\AA$) from different portions of two active regions. In the work we are going to present, we conduct a systematic investigation of the parameters that controls and optimizes the inversion method to unfold overlappogram data. We also demonstrate a derived method of the inversion that does not require previous assumptions on the thermal and ionization equilibrium and abundance state of the plasma.
Document ID
20230012020
Acquisition Source
Marshall Space Flight Center
Document Type
Poster
Authors
Arthur E. Hochedez
(Mines ParisTech Paris, France)
P. S. Athiray
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Amy R. Winebarger
(Marshall Space Flight Center Redstone Arsenal, Alabama, United States)
Dyana Beabout
(Marshall Space Flight Center Redstone Arsenal, Alabama, United States)
S. L. Savage
(Marshall Space Flight Center Redstone Arsenal, Alabama, United States)
Date Acquired
August 11, 2023
Subject Category
Solar Physics
Meeting Information
Meeting: 54th Solar Physics Division Meeting
Location: Minneapolis, MN
Country: US
Start Date: August 13, 2023
End Date: August 18, 2023
Sponsors: American Astronomical Society
Funding Number(s)
WBS: 791926.02.19.01.07
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Spectroheliogram
DEM inversion
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