Issue |
J. Space Weather Space Clim.
Volume 9, 2019
Planetary Space Weather
|
|
---|---|---|
Article Number | A7 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/swsc/2019004 | |
Published online | 19 February 2019 |
Research Article
Ready functions for calculating the Martian radiation environment
1
Institute of Experimental and Applied Physics (IEAP), University of Kiel, Leibnitzstr. 11, 24118 Kiel, Germany
2
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, PR China
3
CAS Center for Excellence in Comparative Planetology, Hefei, PR China
4
University of Aberystwyth, Aberystwyth, UK
5
German Aerospace Center, Linder Hohe, 51147 Koln, Cologne, Germany
* Corresponding author: astro.jingnan@gmail.com
Received:
14
September
2018
Accepted:
22
January
2019
It is extremely important to understand and model the Martian radiation environment in preparation for future human missions to Mars, especially during extreme and elevated conditions such as an intense solar energetic particle (SEP) event. Such events may enhance the radiation level drastically and should be forecasted as soon as possible to prevent severe damage to humans and equipment. Besides, the omnipresent galactic cosmic rays (GCRs) also contribute significantly to the radiation in space and on the surface of Mars and may cause long-term damages to current and future missions. Based on GEANT4 Monte Carlo simulations with the Martian atmospheric and regolith environment setup, we have calculated and obtained some ready-to-go functions which can be used to quickly convert any given SEP or GCR proton/helium ion spectra to the radiation dose on the surface of Mars and also at different depth of the atmosphere. We implement these functions to the RADMAREE tool under the Europlanet project which can be easily accessed by the public.
Key words: Radiation environment / energetic particle / planets / space weather
© Guo et al. Published by EDP Sciences 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.