| Presentation Title: | Inverting ESIS Observations of the Solar Transition Region using Convolutional Neural Networks |
| Author(s): | Roy T. Smart, Charles C. Kankelborg, Jacob D. Parker |
Abstract:
The EUV Snapshot Imaging Spectrograph (ESIS) is a sounding rocket instrument
designed to capture a hyperspectral image of the solar
transition region over a wide field of view in a single exposure.
ESIS achieves this by using four identical slitless spectrographs, each oriented
with a different dispersion direction, to capture four different "overlappogams"
of the solar atmosphere.
These overlappograms are then inverted (in a process analogous to computed
tomography) to retrieve a hyperspectral image of the solar atmosphere.
In this work, we present a convolutional neural network (CNN) that has been
trained to invert ESIS overlappograms using Si IV 1394 Å observations from the
Interface Region Imaging Spectrograph (IRIS) as a proxy for the O V 630 A
spectral line observed by ESIS.
We will use this CNN to invert observations gathered during the 2019 flight of
ESIS and investigate the nature of small-scale dynamic events observed in the
quiet solar transition region.