Statistics – Applications
Scientific paper
Dec 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996esasp.392...15d&link_type=abstract
Environment Modelling for Space-based Applications, Symposium Proceedings (ESA SP-392). ESTEC Noordwijk, 18-20 September 1996. E
Statistics
Applications
1
Scientific paper
The space environment is becoming a greater threat to space missions. A review is made of these environments and the approaches to their analysis. An outlook on future problems is presented, along with a discussion of tools for solving the problems. Space missions are becoming steadily more demanding, both in terms of what is expected of payloads through improved performance and higher sensitivity, and in terms of what is expected of spacecraft platforms themselves. The environment is very diverse , including energetic charged particles, plasmas, neutrals, dust, micrometeoroids and debris. High performance microelectronics, CCD sensors, solar cells, and optical systems all suffer interference (e.g. radiation "background" , SEU or degradation as a result of energetic particle radiation. Astronaut radiation hazards are an additional concern. The plasma environment, together with energetic electrons, can cause electrostatic charging leading to electrostatic discharge and other problems. Neutral atoms and molecules cause contamination, erosion (in the case of free atomic oxygen at low altitude) and drag. Dust can also be a source of contamination. Finally, debris and micrometeoriods can cause structural damage and catastrophic failure. Early tools for predicting environmental effects on space systems were based on empirical models of the various components of the environment. Models have improved by taking into account time variations of the environment (e.g. the solar cycle). This opens up the possibility of taking counter-measures against effects, adapted to a specific time period and orbit of a platform. Advances such as understanding of space environment dynamics, the development of physics-based simulations of the environment, and building of rapidly accessible data bases, all of which will be discussed during this symposium, are expected to lead to more accurate and flexible tools.
Daly E. J.
Drolshagen Gerhard
Evans D. R. H.
Hilgers Alain
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