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Martian Wind and turbulence heard by the SuperCam microphone on the perseverance rover

Authors :
Alexander Stott
Naomi Murdoch
Martin Gillier
Don Banfield
Tanguy Bertrand
Baptiste Chide
Manuel De la Torre Juarez
Ricardo Hueso
Ralph Lorenz
German Martinez
Asier Munguira
Luis Mora Sotomayor
Sara Navarro
Claire Newman
Paolo Pilleri
Jorge Pla-Garcia
Nicolas Randazzo
Jose Antonio Rodriguez Manfredi
Agustin Sanchez-Lavega
Michael Smith
Daniel Viudez Moreiras
Nathan Williams
Sylvestre Maurice
Roger Wiens
David Mimoun
Source :
The Journal of the Acoustical Society of America. 153:A279-A279
Publication Year :
2023
Publisher :
Acoustical Society of America (ASA), 2023.

Abstract

On top of listening to laser shots, rover sounds and the Ingenuity rotorcraft, SuperCam’s Mars microphone has recorded over 7 hours of ambient background noise on Mars. These background recordings contain signal due to the Martian wind. Through a comparison to the meteorological data recorded by the MEDA (Mars Environmental Dynamics Analyzer), we can determine the relationships between the microphone data, the wind and the atmospheric stability. Based on these relationships, we have determined a way to estimate the wind speed using the microphone through Gaussian process regression, a machine learning technique. Owing to the sampling rate of 25 000 samples per second, the microphone data can be used to examine Mars’ atmospheric dynamics at high frequencies, as yet unexplored on Mars. We will demonstrate how the wind speed estimates from the microphone provide an assessment of turbulence at fine scales, shedding light on the dissipative regime on Mars. One particularly interesting signal recorded by the microphone was a dust devil, which had fast varying winds within the walls of its vortex and signal from dust particles hitting the rover. Combining the microphone data with information from the MEDA sensors and navigation camera (Navcam) images enabled a full parameterization of this event.

Details

ISSN :
15208524 and 00014966
Volume :
153
Database :
OpenAIRE
Journal :
The Journal of the Acoustical Society of America
Accession number :
edsair.doi...........b662db53835df348d168ecdc1e9f87fe
Full Text :
https://doi.org/10.1121/10.0018841