Imperial College London
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Professor Tom Pike

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Microengineering
 
 
 
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Contact

 

+44 (0)20 7594 6207w.t.pike

 
 
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Location

 

604Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Charalambous:2022:10.5194/epsc2022-1078,
author = {Charalambous, C and Pike, T and Fernando, B and Stott, A and Nissen-Meyer, T and Lognonné, P},
doi = {10.5194/epsc2022-1078},
title = {Denoising InSight: Determination of Mars’ lateral crustal variations through surface-wave identification},
url = {http://dx.doi.org/10.5194/epsc2022-1078},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:p>&lt;p&gt;For over three Earth years, NASA&amp;#8217;s InSight mission has returned data from the Seismic Experiment for Interior Structure (SEIS) on Mars with over 1300 recorded marsquakes (Horleston et al., this issue), leading to numerous breakthroughs in determining the planet's structure (Khan et al., 2021; St&amp;#228;hler et al., 2021; Knapmeyer-Endrun et al., 2021). However, a large number of detected marsquakes are contaminated by SEIS&amp;#8217;s complex interaction with the Martian atmosphere which injects noise and couples into the seismic signal. Identification of surface waves, polarisation analysis and clear body-wave arrivals is therefore often inhibited by this strong atmospheric noise. Despite numerous identifications, only 12 events have so far been fully located. Detection and analysis of the seismic component thus requires separation from such aseismic signal sources.&lt;/p&gt;&lt;p&gt;Here we present a novel denoising model which exploits the strong correlation between the ground motion and the atmospheric conditions recorded at InSight. The approach exploits linearities in the noise injected by the atmosphere by using weather data measured by the lander, or in the absence of such data due to power constraints, the excitation of wind-sensitive lander modes that have been proven an effective atmospheric proxy in estimating this injection on Mars (Charalambous et al., 2021; Clinton et al., 2021; Dahmen et al., 2021). The output results in &amp;#8220;demodulation&amp;#8221;, i.e., the cancellation of any environmental noise and the effective isolation of the seismic signal power in time-frequency space. Our denoising approach is thus able to remove and decouple the environmental noise from the seismic signal to reveal features in the seismic event waveform that were previously hidden in the noise.&lt;/p&gt;&lt;p&gt;U
AU  - Charalambous,C
AU  - Pike,T
AU  - Fernando,B
AU  - Stott,A
AU  - Nissen-Meyer,T
AU  - Lognonné,P
DO  - 10.5194/epsc2022-1078
PY  - 2022///
TI  - Denoising InSight: Determination of Mars&#8217; lateral crustal variations through surface-wave identification
UR  - http://dx.doi.org/10.5194/epsc2022-1078
ER  -
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