Space Science Reviews

, Volume 211, Issue 1–4, pp 383–428 | Cite as

The Noise Model of the SEIS Seismometer of the InSight Mission to Mars

  • David MimounEmail author
  • Naomi Murdoch
  • Philippe Lognonné
  • Kenneth Hurst
  • William T. Pike
  • Jane Hurley
  • Tanguy Nébut
  • William B. Banerdt
  • SEIS Team


The SEIS (Seismic Experiment for Interior Structures) instrument on board the InSight mission to Mars is the critical instrument for determining the interior structure of Mars, the current level of tectonic activity and the meteorite flux. Meeting the performance requirements of the SEIS instrument is vital to successfully achieve these mission objectives. The InSight noise model is a key tool for the InSight mission and SEIS instrument requirement setup. It will also be used for future operation planning. This paper presents the analyses made to build a model of the Martian seismic noise as measured by the SEIS seismometer, around the seismic bandwidth of the instrument (from 0.01 Hz to 1 Hz). It includes the instrument self-noise, but also the environment parameters that impact the measurements. We present the general approach for the model determination, the environment assumptions, and we analyze the major and minor contributors to the noise model.


InSight SEIS Noise model Seismometer Mars Environment 



This work has been supported by CNES and by ISAE, including funding for post-doctoral support provided to N. Murdoch. ATA engineering (USA) performed the tether thermoelastic studies, and Mecano ID did the SEIS thermoelastic studies. Thanks for Jane Hurley (Oxford U) for her contributions. Thanks to Nicolas Verdier (CNES) for his support on the performance tests, and Taichi Kawamura for the VBB magnetic sensitivity analyses. Thanks to the VBB project manager (S. de Raucourt) and VBB instrument team for providing the VBB noise model (T. Nebut, O. Robert), VBB Temperature performances (S. Tillier, P.A. Dandonneau), and validating these models (M. Parise, T. Gabsi, M. Drilleau). The author wishes to thank J. Gagnepain-Beyneix, which was involved from the beginning in the noise model.


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Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  • David Mimoun
    • 1
    Email author
  • Naomi Murdoch
    • 1
  • Philippe Lognonné
    • 2
  • Kenneth Hurst
    • 3
  • William T. Pike
    • 4
  • Jane Hurley
    • 5
  • Tanguy Nébut
    • 2
  • William B. Banerdt
    • 3
  • SEIS Team
    • 6
  1. 1.DEOS/SSPAInstitut Supérieur de l’Aéronautique et de l’Espace, Supaero, Université de ToulouseToulouse CedexFrance
  2. 2.Institut de Physique du Globe de Paris, Sorbonne Paris CitéUniversité Paris DiderotParisFrance
  3. 3.Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaUSA
  4. 4.Department of Electrical and Electronic EngineeringImperial College LondonLondonUK
  5. 5.Rutherford Appleton LaboratoryScience and Technology Facilities CouncilDidcotUK
  6. 6.

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