![]() It is forced to vibrate at one of its resonant modes by electrostatic excitation. CVG sensor comprises of metal coated hemispherical quartz vibrating structure as the rotation sensing element. This study shows that performance loss based only on total surface contamination may lead to erroneous estimation and that outgassing and radiation should be treated as synergistic effects in the mission preparation phase.Ĭoriolis Vibratory Gyroscope (CVG) is an inertial angular rate measurement sensor. The findings demonstrated that UV exposure of contaminated surfaces, depending on the contamination source type, can result in chemical reactions and bonding of contaminants to the substrate or nearby molecules, or in contrary can act as a cleaning agent, causing reemission of contaminants. Transmission losses of the optical material were measured in the UV/near infrared and Fourier-transform infrared range. The testing campaign consisted of three test phases: first, an outgassing test on space-qualified paints, used as contamination sources in this study, to derive input parameters for long-term outgassing predictions the second phase, in which optical windows are contaminated to match the predictions and the third phase, during which the contaminated optical windows were subjected to the vacuum UV/UV illumination exposure, as per mission profile, after the contamination and irradiation exposure. The aim of this study was to investigate the transmission properties of optical windows intentionally contaminated and exposed to simulated solar radiation simulating the Meteosat Third Generation mission’s conditions. Using first-principles calculations, the permittivities work function and adsorption energy of various Ni systems have also been calculated, and have shown to compare favorably with available experimental data, and have been used in the present Monte Carlo calculations of electron transport. An increase of hydrogen on the surface, for example, is predicted to result in a significant enhancement in the secondary electron yield, with the positional placement of hydrogen layers on or near the Ni surface influencing the SEY. It is found that the SEY is strongly dependent on the presence of adsorbates on surfaces. The correction is shown to improve predictions of the inelastic electron mean free path in Ni and yield better agreement with experimental SEY data. Secondary electron yield (SEY) modeling of Ni(110) surface has been carried out with and without the inclusion of wavevector-dependent harmonic corrections (which alter both the inelastic mean free path and stopping power) and is compared to available experimental data. ![]()
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