High-Contrast Integral Field Spectrograph (HCIFS): multi-spectral wavefront control and reduced-dimensional system identification
He Sun, Alexei Goun, Susan Redmond, Michael Galvin, Tyler Groff,, Maxime Rizzo, N. Jeremy Kasdin

TL;DR
This paper introduces HCIFS, a high-contrast integral field spectrograph, and a new reduced-dimensional system identification algorithm that enhances wavefront control efficiency for exoplanet imaging in space telescopes.
Contribution
The paper presents the development of HCIFS and a novel reduced-dimensional system identification method, improving wavefront control speed, contrast, and efficiency in high-contrast imaging systems.
Findings
Demonstrated HCIFS's application in multi-spectral wavefront control.
Validated the reduced-dimensional system identification algorithm experimentally.
Achieved improved wavefront control speed and contrast.
Abstract
Any high-contrast imaging instrument in a future large space-based telescope will include an integral field spectrograph (IFS) for measuring broadband starlight residuals and characterizing the exoplanet's atmospheric spectrum. In this paper, we report the development of a high-contrast integral field spectrograph (HCIFS) at Princeton University and demonstrate its application in multi-spectral wavefront control. Moreover, we propose and experimentally validate a new reduced-dimensional system identification algorithm for an IFS imaging system, which improves the system's wavefront control speed, contrast and computational and data storage efficiency.
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