Hayabusa2 is an asteroid sample-return mission operated by the Japanese space agency, JAXA. It is a successor to the Hayabusa mission which returned asteroid samples for the first time in June 2010. It arrived at asteroid 162173 Ryugu on 27 June 2018, where it surveyed the asteroid for a year and a half and collected samples. It departed the asteroid in November 2019 to return the samples to Earth in late 2020.
About Hayabusa2 in brief

It successfully delivered the samples back to Earth in 6 December 2020, dropping the contents by parachute in a special container at a location in southern Australia. The mission cost estimated in 2010 was 16. 4 billion yen. Hayabusha2 was launched on 3 December 2014, and remained stationary at a distance of about 20 km to study and map the asteroid. The MASCOT rover deployed successfully on 3 October 2018 and operated for about 16 hours as planned. On 21 September 2018, the Haybusa2 spacecraft ejected the first two rovers, Rover-1A and Rover- 1B, from about a 55 m altitude that dropped independently to the surface of the asteroid, They functioned nominally and transmitted data. The sub-surface sampling took place on 11 July 2019. The spacecraft departed the asteroids on 13 November 2019. It successfully delivers the samples Back to Earth. Back to Mail Online home. Back To the page you came from. Back from the page that you came From. Hayabus2 is based on the same spacecraft, with improvements in design of some of the subsystems, including some in the design of the solar arrays, and some improvements in the power sources. The asteroid is thought to preserve the most pristine, untainted materials in the Solar System, a mixture of minerals, ice, and organic compounds that interact with each other. Studying it is expected to provide additional knowledge on the origin and evolution of the inner planets and, in particular, the origin of water andorganic compounds on Earth.
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This page is based on the article Hayabusa2 published in Wikipedia (as of Dec. 07, 2020) and was automatically summarized using artificial intelligence.






