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Recovering Thermodynamics from Spectral Profiles observed by IRIS: A Machine and Deep Learning Approach

  • Authors: Alberto Sainz Dalda, Jaime de la Cruz Rodríguez, Bart De Pontieu, and Milan Gošić

2019 The Astrophysical Journal Letters 875 L18.

  • Provider: AAS Journals

Caption: Figure 2.

Top panels: (first row) T for NOAA AR 12480 at log(τ) = −4 provided by STiC (left), IRIS2 (center), and deepIRIS2 (right). Middle panels: uncertainties for these methods. Bottom-left panel: χ2-map associated to STiC results. Bottom-middle and bottom-right panels: uncertainty multiplication factor (UMFT) for IRIS2 and deepIRIS2 methods. Regions of interest (RoIs) are marked with squares in the center panel of the top row. The animation runs from log(τ) = −6 to −0.8.

(An animation of this figure is available.)

The video/animation of this figure is available in the online journal.

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