Radiation exposure predictions for short-duration stay Mars missions
| Autor: | John E. Nealy, Scott A. Striepe, Lisa C. Simonsen |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Solar System
Mars Aerospace Engineering Venus Cosmic ray Eye Radiation Dosage Exploration of Mars Models Biological Astrobiology law.invention Radiation Protection Interplanetary mission Bone Marrow law Humans Computer Simulation Skin Physics Solar flare biology Astronomy Dose-Response Relationship Radiation Mars Exploration Program Space Flight biology.organism_classification Space and Planetary Science Protons Cosmic Radiation Flare |
| Zdroj: | Journal of Spacecraft and Rockets. 29:801-807 |
| ISSN: | 1533-6794 0022-4650 |
| Popis: | The human radiation environment for several short-duration stay manned Mars missions is predicted using the Mission Radiation Calculation (MIRACAL) program, which was developed at NASA Langley Research Center. This program provides dose estimates for galactic cosmic rays (GCR) and large and ordinary solar proton flare events for various amounts of effective spacecraft shielding (both operational and storm shelter thicknesses) and a given time history of the spacecraft's heliocentric position. The results of this study show that most of the missions can survive the most recent large flares (if they were to occur at the missions' perihelion) if a 25 g/cm2 storm shelter is assumed. The dose predictions show that missions during solar minima (when solar flare activity is the lowest) are not necessarily the minimum dose cases, due to increased GCR contribution during this time period. The direct transfer mission studied has slightly lower doses than the outbound Venus swingby mission [on the order of 10-20 centi-Sieverts (cSv) lower], with the greatest dose differences for the assumed worst case scenario (when the large flares occur at perihelion). The GCR dose for a mission can be reduced by having the crew spend some fraction of its day nominally in the storm shelter (other than during flare events). |
| Databáze: | OpenAIRE |
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