Scientists translate the image of the Martian sunrise into music



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British scientists created a two-minute piece of music on the photo of the 5,000th sunrise on Mars captured by NASA's rover Opportunity.

The soundtrack was created by sweeping a picture from left to right, pixel by pixel. , and looking at the brightness and color information and combining them with the terrain elevation.

The team used a technique called "data sonification" that used computer algorithms to badign each element a specific sound and melody to translate a photo into music.

"We are thrilled to present this work on such a fascinating planet," said Domenico Vicinanza, director of the SAGE research group on English engineering Ruskin.

"Image sonication is a very versatile technique for exploring science and can be used in several areas, from the study of some of the surfaces of the planet and atmospheres, to badyze climate change or detect volcanic eruptions, "added Vicinanza.

The silent and slow harmonies are a consequence of the dark background and the brighter and more acute sounds towards the middle of the room are created by the sonification of the brilliant solar disk.

Data Sonification Technique Can Be Applied in Health Sciences to Provide Scientists with New Methods of Evidence The team reported that Vicinanza and Genevieve Williams of Exeter University would present the piece "Mars Soundscapes" at the NASA booth at the upcoming University of Exeter Congress (19659003). SC18 Supercomputing Conference in Dallas

It will be presented using conventional loudspeakers and vibration transducers so that the audience can feel the vibrations with his hands, thus enjoying the experience at the premiere someone from a sunrise on Mars.

Opportunity is a The robot robot that has been providing photographic data on Mars at NASA since 2004.

Earlier in 2018, he had stopped communicating after a dust storm. Scientists hope that he will be able to resume his duties later this year.

– IANS

r / mag / sed

(This story was not edited by Business Standard staff and is generated automatically from a syndicated feed.)

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