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Completed TRL 2 (started at 1, targeting 2)
Computed Tomography Imaging Spectrographs (CTIS) seek to measure spectral information over an extended FOV in a single exposure. Each channel of a CTIS disperses spectral information in a different direction, and its image represents a unique projection through spatial-spectral space, and contains a blend of position and spectral information in each pixel. Images from each channel are then combined and "inverted" to separate the spatial from the spectral information and produce line profiles in each spatial pixel. We seek to improve our confidence in, and the efficiency of, CTIS inversion algorithms so that we may leverage CTIS technology on future, larger, NASA missions.
High performance inversion algorithms are necessary to process large amounts of CTIS data and will enable using the technology on orbital platforms. Computed Tomography Imaging Spectrographs can measure spectral line profiles over large fields of view ten times faster than traditional spectrographs, and will greatly improve our ability to capture dynamic scenes.
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