New mathematical approach tested for the search of flight MH370
From phys.org:
Covering of the Indian Ocean domain into boxes forming the various Markov-chain models constructed using satellite-tracked undrogued drifters to describe the motion of marine debris produced by the crash of Malaysian Airlines flight MH370. Boxes with positive probability of the chain(s) to terminate outside the domain (leaky states) are indicated in dark gray, boxes including landwater interfaces (sticky states) are shown in light gray, and boxes along an arc of 7th ping ring around the Inmarsat-3F1 satellite position when communication with the MH370 flight was lost (crash states) are highlighted in yellow. Stars correspond to the airplane debris beaching sites, refer to the color code in the legend wherever needed.
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The 2014 disappearance of Malaysia Airlines Flight MH370 remains ones of the biggest mysteries in aviation. More than $150 million has been spent so far to identify where the plane carrying 239 passengers crashed into the Indian Ocean, with no success. Recent efforts combining satellite data with a new mathematical approach aim to make headway in the search for plane crashes.
An international team of researchers has developed a new mathematical approach to analyzing how debris moves around the ocean that has been able to identify a potential crash site. Using what are known as Markov chain models, they have narrowed down a potential crash location substantially north of the region where most search efforts have concentrated.
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In the study, reported in the journal Chaos, the group used data from the Global Drifters Program, a publicly available dataset that uses satellites to track spherical buoys as the ocean's currents, waves and wind push them along paths over time.
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The link at the end of the article to the paper did not work for me, but this link worked:
https://aip.scitation.org/doi/full/10.1063/1.5092132