Statistical analysis of the observations of the MEX/ASPERA-3 NPI in the shadow |
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| Authors: | A Milillo A Mura S Orsini S Massetti PC son Brandt T Sotirelis R D’Amicis S Barabash RA Frahm E Kallio A Galli P Wurz M Holmstrom EC Roelof JD Winningham P Cerulli-Irelli S Livi R Lundin M Maggi A Morbidini |
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| Institution: | 1. Department of Earth and Planetary Science, University of California, McCone Hall, Berkeley, CA 94720, United States;2. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91108, United States;3. Faculty of Aerospace Engineering, Delft University of Technology, HS Delft 2629 The Netherlands |
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| Abstract: | The analyser of space plasma and energetic atoms (ASPERA-3) neutral particle imager (NPI) on board Mars Express (MEX) is devoted to energetic neutral atom (ENA) detection within the Martian environment. These ENAs originate from the interaction between the energetic ions flowing inside the Martian environment and the exospheric neutral gas, thus providing crucial information about the dynamics of this interaction. NPI records the instantaneous angular distribution of the energy-integrated ENA signal. In order to identify recurrent ENA signals in the Martian environment, we have performed a statistical analysis of the NPI data. Count rates have been averaged using different methods in order to be able to discriminate signals coming from the planet, from a selected direction, or from specific planetographic regions at the planetary surface. Possible recurrent ENA signals (about 5×106 (cm2 sr s)?1) are found coming from the terminator direction and above the atmosphere toward nightside when the spacecraft was inside the planetary shadow, mainly close to the shadow edge. Some significant signal was found from the anti-Mars directions in 2005. No statistically significant signal related to pick-up ions from the atmosphere or related to magnetic anomalies above the sensor intrinsic error (estimated as 3×106 (cm2 sr s)?1) was observed. Our analysis shows that particular attention should be given to the use of NPI data when performing statistical studies; in fact, the sensor has some intrinsic limitations due to inadequate UV suppression, difficulties in sector inter-calibrations, and variations in the sector response versus time. |
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