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Communication Dans Un Congrès Année : 2014

3D Direct Simulation Monte Carlo Modeling of the Spacecraft Environment of Rosetta

Léna Le Roy

Résumé

The European Space Agency’s Rosetta mission is the first to escort a comet over an extended time as the comet makes its way through the inner solar system. The ROSINA instrument suite consisting of a double focusing mass spectrometer, a time of flight mass spectrometer and a pressure sensor, will provide temporally and spatially resolved data on the comet’s volatile inventory. The effect of spacecraft outgassing is well known and has been measured with the ROSINA instruments onboard Rosetta throughout the cruise phase. The flux of released neutral gas originating from the spacecraft cannot be distinguished from the cometary signal by the mass spectrometers and varies significantly with solar illumination conditions. For accurate interpretation of the instrument data, a good understanding of spacecraft outgassing is necessary. In this talk we present results simulating the spacecraft environment with the Adaptive Mesh Particle Simulator (AMPS) code. AMPS is a direct simulation monte carlo code that includes multiple species in a 3D adaptive mesh to describe a full scale model of the spacecraft environment. We use the triangulated surface model of the spacecraft to implement realistic outgassing rates for different areas on the surface and take shadowing effects in consideration. The resulting particle fluxes are compared to the measurements of the ROSINA experiment and implications for ROSINA measurements and data analysis are discussed. Spacecraft outgassing has implications for future space missions to rarefied atmospheres as it imposes a limit on the detection of various species.
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Dates et versions

hal-01116614 , version 1 (13-02-2015)

Identifiants

  • HAL Id : hal-01116614 , version 1

Citer

Andre Bieler, Valeriy Tenishev, Nicolas Fougere, Tamas I. Gombosi, Kenneth Hansen, et al.. 3D Direct Simulation Monte Carlo Modeling of the Spacecraft Environment of Rosetta. AGU Fall Meeting 2014, Dec 2014, San Francisco, United States. pp.P41C-3931. ⟨hal-01116614⟩
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