Real-time dose prediction for Artemis missions | Journal of Space Weather and Space Climate

Open Access

Issue		J. Space Weather Space Clim. Volume 15, 2025


Article Number		1
Number of page(s)		13
DOI		https://doi.org/10.1051/swsc/2024037
Published online		07 January 2025

Cucinotta FA, Hu S, Schwadron NA, Kozarev K, Townsend LW, Kim MHY. 2010. Space radiation risk limits and Earth-Moon-Mars environmental models. Space Weather 8: S00E09. https://doi.org/10.1029/2010SW000572. [Google Scholar]
Hu S, Cucinotta FA. 2011. Characterization of the radiation-damaged precursor cells in bone marrow based on modeling of the peripheral blood granulocytes response. Health Phys 101(1): 67–78. https://doi.org/10.1097/HP.0b013e31820dba65. [CrossRef] [Google Scholar]
Hu S, Kim MHY, McClellan GE, Cucinotta FA. 2009. Modeling the acute health effects of astronauts from exposure to large solar particle events. Health Phys 96(4): 1–12. https://doi.org/10.1097/01.HP.0000339020.92837.61. [CrossRef] [Google Scholar]
Hu S, Monadjemi S, Barzilla JE, Semones E. 2020. ARRT development for the upcoming human exploration missions. Space Weather 18: e2020SW002586. https://doi.org/10.1029/2020SW002586. [CrossRef] [Google Scholar]
Hu S, Semones E. 2022a. Calibration of the GOES 6–16 high-energy proton detectors based on modelling of ground level enhancement energy spectra. J Space Weather Space Clim 12: 5. https://doi.org/10.1051/swsc/2022003. [CrossRef] [EDP Sciences] [Google Scholar]
Hu S, Semones E. 2022b. Multi-source calibrated GOES dataset and solar radiation environment model update. NASA/TP-20220008181. https://ntrs.nasa.gov/citations/20220008181. [Google Scholar]
Hu S, Smirnova OA, Cucinotta FA. 2012. A biomathematical model of lymphopoiesis following severe radiation accidents – potential use for dose assessment. Health Phys 102(4): 425–436. https://doi.org/10.1097/HP.0b013e318240593d. [CrossRef] [Google Scholar]
Hu S, Zeitlin C, Atwell W, Fry D, Barzilla JE, Semones E.. 2016. Segmental interpolating spectra for solar particle events and in situ validation. Space Weather 14: 742–753. https://doi.org/10.1002/2016SW001476. [CrossRef] [Google Scholar]
Mertens CJ, Slaba TC, Hu S. 2018. Active dosimeter‐based estimate of astronaut acute radiation risk for real‐time solar energetic particle events. Space Weather 16: 1291–1316. https://doi.org/10.1029/2018SW001971. [CrossRef] [Google Scholar]
NASA. 2023. NASA spaceflight human system standard. Vol. 1, Revision C: Crew health. https://standards.nasa.gov/standard/NASA/NASA-STD-3001_VOL_1 (accessed November 13, 2024). [Google Scholar]
National Academies of Sciences, Engineering, and Medicine. 2021. Space radiation and astronaut health: managing and communicating cancer risks. The National Academies Press, Washington, DC. https://doi.org/10.17226/26155. [Google Scholar]
National Council on Radiation Protection. 2000. National council on radiation protection and measurements: radiation protection guidance for activities in low-Earth orbit (NCRP Rep. No. 132): National Council on Radiation Protection and Measurements. [Google Scholar]
Núñez M. 2011. Predicting solar energetic proton events (E > 10 MeV). Space Weather 9: S07003. https://doi.org/10.1029/2010SW000640. [Google Scholar]
Núñez M. 2015. Real-time prediction of the occurrence and intensity of the first hours of >100 MeV solar energetic proton events. Space Weather 13: 807–819. https://doi.org/10.1002/2015SW001256. [CrossRef] [Google Scholar]
Núñez M. 2022. Evaluation of the UMASEP-10 version 2 tool for predicting all >10 MeV SEP events of solar cycles 22, 23 and 24. Universe 8: 35. https://doi.org/10.3390/universe8010035. [CrossRef] [Google Scholar]
Núñez M, Reyes-Santiago PJ, Malandraki OE. 2017. Real-time prediction of the occurrence of GLE events. Space Weather 15: 861–873. https://doi.org/10.1002/2017SW001605. [CrossRef] [Google Scholar]
Raukunen O, Vainio R, Tylka AJ, Dietrich WF, Jiggens P, Heynderickx D, et al. 2018. Two solar proton fluence models based on ground level enhancement observations. J Space Weather Space Clim 8: A04. https://doi.org/10.1051/swsc/2017031. [CrossRef] [EDP Sciences] [Google Scholar]
Shea MA, Smart DF. 2012. Space weather and the ground‐level solar proton events of the 23rd solar cycle. Space Sci Rev 171(1): 161–188. https://doi.org/10.1007/s11214‐012‐9923‐z. [CrossRef] [Google Scholar]
Slaba TC, Qualls GD, Clowdsley MS, Blattnig SR, Walker SA, Simonsen LC. 2010. Utilization of CAM, CAF, MAX, and FAX for space radiation analyses using HZETRN. Adv Space Res 45(7): 866–883. https://doi.org/10.1016/j.asr.2009.08.017. [CrossRef] [Google Scholar]
Slaba TC, Wilson JW, Badavi FF, Reddell BD, Bahadori AA. 2016. Solar proton exposure of an ICRU sphere within a complex structure: ray‐trace geometry. Life Sci Space Res 9: 77–83. https://doi.org/10.1016/j.lssr.2016.05.001. [CrossRef] [Google Scholar]
Stoffle NN, Campbell-Ricketts T, Castro A, Gaza R, Zeitlin C, George S, Abdelmelek M, Schram A. 2023. HERA: a timepix-based radiation detection system for exploration-class space missions. Life Sci Space Res 39: 59–66. https://doi.org/10.1016/j.lssr.2023.03.004. [CrossRef] [Google Scholar]
Whitman K, Egeland R, Richardson IG, Allison C, Quinn P, et al. 2022. Review of solar energetic particle prediction models. Adv Space Res 72(12): 5161–5242. https://doi.org/10.1016/j.asr.2022.08.006. [Google Scholar]
Wilson JW, Denn FM. 1976. Preliminary analysis of the implications of natural radiations on geostationary operations. NASA-TN-D-8290. https://ntrs.nasa.gov/citations/19760026032. [Google Scholar]
Wilson JW, Slaba TC, Badavi FF, Reddell BD, Bahadori AA. 2016. Solar proton exposure of an ICRU sphere within a complex structure: combinatorial geometry. Life Sci Space Res 9: 69–76. https://doi.org/10.1016/j.lssr.2016.05.002. [CrossRef] [Google Scholar]

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.