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An image of the 5,000th sunrise captured by the Mars robot, Opportunity. Credit: Anglia Ruskin University
Scientists created the 5,000th Mars Sun Soundtrack captured by the exploration robot, Opportunity, using data sonication techniques to create a two-minute piece of music.
The researchers created the piece of music by scanning an image from left to right, pixel by pixel, examining the brightness and color information and combining them with the elevation of the terrain. They used algorithms to assign each element a specific pitch and melody.
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.
Domenico Vicinanza, of Anglia Ruskin University, and Genevieve Williams, of Exeter University, will present the world premiere of this piece, titled Mars Soundscapes, on the NASA stand, at the upcoming SC18 Supercomputing Conference in Dallas (November 13).
The piece will be presented using both conventional loudspeakers and vibration transducers so that the audience can feel the vibrations with his hands, thus taking advantage of the first-person experience of a sunrise. sun on Mars.
Opportunity is a mobile robot that has been providing photographic data on Mars to NASA since 2004. Earlier this year, it ceased its communications after a dust storm. Scientists hope that he will be able to resume his duties later this year.
Dr. Vicinanza, Director of the SAGE (Sound and Game Engineering) research group at Anglia Ruskin, said, "We are absolutely delighted to present this work on such a fascinating planet.
"Image sonication is a very flexible technique for exploring science, and it can be used in many areas, from the study of certain characteristics of planetary surfaces and atmospheres to the analysis of climate change or the detection of volcanic eruptions.
"In health sciences, it can provide scientists with new methods of analyzing the occurrence of certain shapes and colors, which is particularly useful for the diagnosis of images."
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