The new wind reconstruction algorithm developed in this article extends the amount of available sols from the Viking Lander 1 (VL1) mission from 350 to 2245. The reconstruction of wind measurement data enables the study of both short-term phenomena, such as daily variations in wind conditions or dust devils, and long-term phenomena, such as the seasonal variations in Martian tides.

Plasma waves are important observational targets for scientific missions investigating space plasma phenomena. Conventional plasma wave receivers have the disadvantages of a large size and a narrow dynamic range. We proposes a new receiver that overcomes the disadvantages of conventional receivers. The analog section of the new receiver was realized using application-specific integrated circuit (ASIC) technology in order to reduce the size, and an ASIC chip was successfully developed.

Investigations of Mars – its atmosphere, surface and interior – require simultaneous, distributed in situ measurements. We have developed an innovative prototype of the Mars Network Lander (MNL), a small lander/penetrator with a 20 % payload mass fraction. MNL features an innovative Entry, Descent and Landing System to increase reliability and reduce the system mass. It is ideally suited for piggy-backing on spacecraft, for network missions and pathfinders for high-value landed missions.

We developed a prototype of the Neutral Gas and Ion Mass spectrometer (NIM) of the Particle Environment Package (PEP) for the JUICE mission of ESA. NIM will be used to measure the chemical composition of the exospheres of the icy Jovian moons. The NIM prototype was successfully tested under realistic conditions and we find that the closed source behaves as expected within the JUICE mission phase velocities. No additional fragmentation of the species recorded with the closed source is observed.

COSIMA, an advanced TOF-SIMS instrument measuring the mass spectrum of dust grains collected at comet P67 by the ROSETTA spacecraft, is predicted to encounter complex mixtures of minerals and organic compounds. To extract information from this data set, we have developed a multivariate technique tested on laboratory measurements made by an identical instrument under controlled conditions. We have shown that minerals can be identified and separated with high level of confidence.