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Planned Products of the Mars Structure Service for the InSight Mission to Mars

Authors
  • Panning, Mark P.1
  • Lognonné, Philippe2
  • Bruce Banerdt, W.3
  • Garcia, Raphaël4
  • Golombek, Matthew3
  • Kedar, Sharon3
  • Knapmeyer-Endrun, Brigitte5
  • Mocquet, Antoine6
  • Teanby, Nick A.7
  • Tromp, Jeroen8
  • Weber, Renee9
  • Beucler, Eric6
  • Blanchette-Guertin, Jean-Francois2
  • Bozdağ, Ebru10
  • Drilleau, Mélanie2
  • Gudkova, Tamara11, 12
  • Hempel, Stefanie4
  • Khan, Amir13
  • Lekić, Vedran14
  • Murdoch, Naomi4
  • And 16 more
  • 1 University of Florida, Department of Geological Sciences, 241 Williamson Hall, Gainesville, FL, 32611, United States , Gainesville (United States)
  • 2 Univ Paris Diderot-Sorbonne Paris Cité, Institut de Physique du Globe de Paris, 35 rue Hélène Brion—Case 7071, Lamarck A, Paris Cedex 13, 75205, France , Paris Cedex 13 (France)
  • 3 California Institute of Technology, Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA, 91109, United States , Pasadena (United States)
  • 4 Institut Superieur de l’Aeronautique et de l’Espace, Toulouse, France , Toulouse (France)
  • 5 Max Planck Institute for Solar System Research, Justus-von-Liebig-Weg 3, Göttingen, 37077, Germany , Göttingen (Germany)
  • 6 Université de Nantes, Faculté des Sciences et Techniques, Laboratoire de Planétologie et Géodynamique, UMR-CNRS 6112, 2 rue de la Houssinière, Nantes Cedex 3, 44322, France , Nantes Cedex 3 (France)
  • 7 University of Bristol, School of Earth Sciences, Wills Memorial Building, Queens Road, Bristol, BS8 1RJ, United Kingdom , Bristol (United Kingdom)
  • 8 Princeton University, Department of Geosciences, Princeton, NJ, United States , Princeton (United States)
  • 9 NASA Marshall Space Flight Center, 320 Sparkman Drive, Huntsville, AL, 35805, United States , Huntsville (United States)
  • 10 University of Nice Sophia Antipolis, Géoazur, 250 rue Albert Einstein, Valbonne, 06560, France , Valbonne (France)
  • 11 Russian Academy of Sciences, Schmidt Institute of Physics of the Earth, B. Gruzinskaya, 10, Moscow, 123495, Russia , Moscow (Russia)
  • 12 Moscow Institute of Physics and Technology (MIPT), Institutsky per., 9, Moscow region, 141700, Russia , Moscow region (Russia)
  • 13 Institut für Geophysik, ETH Zürich, Zürich, 8092, Switzerland , Zürich (Switzerland)
  • 14 University of Maryland, Department of Geology, College Park, MD, 20742, United States , College Park (United States)
  • 15 German Aerospace Center (DLR), Rutherfordstrasse 2, Berlin, 12489, Germany , Berlin (Germany)
  • 16 Royal Observatory Belgium, Av Circulaire 3-Ringlaan 3, Brussels, 1180, Belgium , Brussels (Belgium)
  • 17 ETH Zürich, Swiss Seismological Service, Zürich, 8092, Switzerland , Zürich (Switzerland)
  • 18 Imperial College, Department of Electrical and Electronic Engineering, London, United Kingdom , London (United Kingdom)
Type
Published Article
Journal
Space Science Reviews
Publisher
Springer-Verlag
Publication Date
Nov 30, 2016
Volume
211
Issue
1-4
Pages
611–650
Identifiers
DOI: 10.1007/s11214-016-0317-5
Source
Springer Nature
Keywords
License
Yellow

Abstract

The InSight lander will deliver geophysical instruments to Mars in 2018, including seismometers installed directly on the surface (Seismic Experiment for Interior Structure, SEIS). Routine operations will be split into two services, the Mars Structure Service (MSS) and Marsquake Service (MQS), which will be responsible, respectively, for defining the structure models and seismicity catalogs from the mission. The MSS will deliver a series of products before the landing, during the operations, and finally to the Planetary Data System (PDS) archive. Prior to the mission, we assembled a suite of a priori models of Mars, based on estimates of bulk composition and thermal profiles. Initial models during the mission will rely on modeling surface waves and impact-generated body waves independent of prior knowledge of structure. Later modeling will include simultaneous inversion of seismic observations for source and structural parameters. We use Bayesian inversion techniques to obtain robust probability distribution functions of interior structure parameters. Shallow structure will be characterized using the hammering of the heatflow probe mole, as well as measurements of surface wave ellipticity. Crustal scale structure will be constrained by measurements of receiver function and broadband Rayleigh wave ellipticity measurements. Core interacting body wave phases should be observable above modeled martian noise levels, allowing us to constrain deep structure. Normal modes of Mars should also be observable and can be used to estimate the globally averaged 1D structure, while combination with results from the InSight radio science mission and orbital observations will allow for constraint of deeper structure.

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