The interferometry is often adopted to check the optical quality and support the alignment in assembly for high precision demand optical system. The interferometer could acquire the system wavefront error (WFE) and obtain the delicate variation of aberration terms. For those optical systems applied to the space mission, the transition from atmosphere to vacuum environment would lead to the dimensional changes of mechanical structure within the scale of micrometer and eventually diminish optical performance. Consequently, as stated above, it is essential to validate the whole optical system in vacuum circumstance. Before the system actually being launched into the space, they are usually placed in the thermal vacuum chamber during ground testing in order to validate if the design could withstand the harsh environments such as high vacuum level and large temperature difference. Nevertheless, it is a big challenge to build up an in-situ optical measurement architecture for large aperture optical system in the thermal vacuum chamber due to the finite internal space of chamber, limited aperture size of transmission view port of chamber door and thermal dissipation problem of measuring instruments. In this paper, we demonstrate an innovative way of interferometry for monitoring the optical performance variation of FORMOSAT-8 (FS-8) optical system assembly (OSA) in our current vacuum chamber that the test telescope and the diverger lens were located in the vacuum environment, while the interferometer stayed in the ambient circumstance. The interferogram was successfully obtained thanks to the rigorous optical alignment process and the speical designed reference tools.
Traditional multispectral Color Filter solutions require a costly, complex wafer coatings process on a single glass, in partnership with TASA, Liscotech and TASA co-developed a mechanical architecture, named Multi-Band-in-One (MBIO) which defines multi-trench design, supporting individual off-the-shelf color filters, reducing production costs and accelerating lead times. This MBIO architecture has been proven successfully in Liscotech RSI3000, equipped with R/G/B/PAN/NIR MBIO filters and the AMS CMV12000 sensor, making it ideal for detailed EO. The SWIR1000, featuring Sony’s IMX991 SWIR sensor, excels in shortwave infrared (SWIR) imaging for weather and environmental monitoring. Both models leverage AMD UltraScale FPGA, enabling real-time preprocessing like AG, AWB, and Edge AI on the sensor side. Platforms have undergone rigorous testing, including radiation, vacuum thermal cycling, and vibration, ensuring reliability in extreme space conditions.
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