Wednesday , January 27 2021

Researchers translate Martian Sunrise's image to music



Using the image of the 5000th Sunrise on Mars captured by NASA's rover Opportunity, British researchers have created a two-minute music.

The soundtrack was created by scanning a picture from left to right, pixel for pixel and viewing the brightness and color information and combining them with terrain height.

The team used a technology called data sonification that used computer algorithms to assign a specific pitch and tune to each element to translate a photo to music.

"We are very pleased to present this work on such a fascinating planet," said Domenico Vicinanza, Research Manager for Audio and Game Technology (SAGE) at Anglia Ruskin.

"Image condensation is a very flexible technology for exploring science, and it can be used in several areas, from studying some properties of planet surfaces and atmospheres, for analyzing weather or volcanic eruptions," added Vicinanza.

The quiet, slow harmonies are a consequence of the dark background and the lighter, higher tone sounds toward the middle of the piece are created by sonication of the bright sunshine.

Data-based technology can be applied in health science to provide researchers with new methods for analyzing the presence of certain forms and colors, which is especially useful in diagnostics, said the team.

Vicinanza along with Genevieve Williams from the University of Exeter,

will present the piece entitled Mars Soundscapes in NASA at the upcoming Supercomputing SC18 conference in Dallas.

It will be featured with both conventional speakers and vibration sensors so the audience can feel the vibrations with their hands and thus enjoy a first person experience of a sunrise on Mars.

Opportunity is a robot robot that has provided photographic data on Mars for NASA since 2004.

Earlier in 2018, communication ceased after a dust storm. Researchers hope it can resume its function later this year.

–IANS

rt / mag / sed

(This story has not been edited by the company's default personnel and is automatically generated from a syndicated feed.)


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