The Nano-Japan Astrometry Satellite Mission for Infrared Exploration (Nano-JASMINE) is an astrometric microsatellite developed by the National Astronomical Observatory of Japan, with contributions by the University of Tokyo's Intelligent Space Systems Laboratory (ISSL). , the satellite was planned for launch together with CHEOPS (Characterizing Exoplanets Satellite) in 2019. However, this launch took place in December 2019 without Nano-JASMINE as one of the three piggyback payloads. Some sources named 2022 as the launch year of the satellite. By 2023, the launch had been cancelled and the sate
The Nano-Japan Astrometry Satellite Mission for Infrared Exploration (Nano-JASMINE) is an astrometric microsatellite developed by the National Astronomical Observatory of Japan, with contributions by the University of Tokyo's Intelligent Space Systems Laboratory (ISSL). , the satellite was planned for launch together with CHEOPS (Characterizing Exoplanets Satellite) in 2019. However, this launch took place in December 2019 without Nano-JASMINE as one of the three piggyback payloads. Some sources named 2022 as the launch year of the satellite. By 2023, the launch had been cancelled and the satellite is now displayed in Kakamigahara Air and Space Museum. With the cancellation of the Nano-JASMINE demonstration mission, the focus shifted to its successor: the larger JASMINE (Japan Astrometry Satellite Mission for Infrared Exploration). As of December 2024, JASMINE is scheduled for a launch at the end of the 2031 fiscal year.
== Spacecraft == Nano-JASMINE is a microsatellite measuring and weighing approximately . It carries a small, Ritchey–Chrétien telescope that will make observations in the infrared spectrum, allowing for easier observation toward the centre of the Milky Way. Its exterior is covered with Gallium arsenide (GaAs) solar cells providing approximately 20 watts of power. Due to limited bandwidth, Nano-JASMINE will employ a Star Image Extractor (SIE) for onboard raw image processing that will extract and transmit only specific object data.
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