An easy-to-use function to assess deep space radiation in human brains

Abstract Health risks from radiation exposure in space are an important factor for astronauts’ safety as they venture on long-duration missions to the Moon or Mars. It is important to assess the radiation level inside the human brain to evaluate the possible hazardous effects on the central nervous...

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Autores principales: Salman Khaksarighiri, Jingnan Guo, Robert Wimmer-Schweingruber, Livio Narici
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/5783d90de9e04a84bcfacae58e400263
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spelling oai:doaj.org-article:5783d90de9e04a84bcfacae58e4002632021-12-02T15:56:41ZAn easy-to-use function to assess deep space radiation in human brains10.1038/s41598-021-90695-52045-2322https://doaj.org/article/5783d90de9e04a84bcfacae58e4002632021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90695-5https://doaj.org/toc/2045-2322Abstract Health risks from radiation exposure in space are an important factor for astronauts’ safety as they venture on long-duration missions to the Moon or Mars. It is important to assess the radiation level inside the human brain to evaluate the possible hazardous effects on the central nervous system especially during solar energetic particle (SEP) events. We use a realistic model of the head/brain structure and calculate the radiation deposit therein by realistic SEP events, also under various shielding scenarios. We then determine the relation between the radiation dose deposited in different parts of the brain and the properties of the SEP events and obtain some simple and ready-to-use functions which can be used to quickly and reliably forecast the event dose in the brain. Such a novel tool can be used from fast nowcasting of the consequences of SEP events to optimization of shielding systems and other mitigation strategies of astronauts in space.Salman KhaksarighiriJingnan GuoRobert Wimmer-SchweingruberLivio NariciNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Salman Khaksarighiri
Jingnan Guo
Robert Wimmer-Schweingruber
Livio Narici
An easy-to-use function to assess deep space radiation in human brains
description Abstract Health risks from radiation exposure in space are an important factor for astronauts’ safety as they venture on long-duration missions to the Moon or Mars. It is important to assess the radiation level inside the human brain to evaluate the possible hazardous effects on the central nervous system especially during solar energetic particle (SEP) events. We use a realistic model of the head/brain structure and calculate the radiation deposit therein by realistic SEP events, also under various shielding scenarios. We then determine the relation between the radiation dose deposited in different parts of the brain and the properties of the SEP events and obtain some simple and ready-to-use functions which can be used to quickly and reliably forecast the event dose in the brain. Such a novel tool can be used from fast nowcasting of the consequences of SEP events to optimization of shielding systems and other mitigation strategies of astronauts in space.
format article
author Salman Khaksarighiri
Jingnan Guo
Robert Wimmer-Schweingruber
Livio Narici
author_facet Salman Khaksarighiri
Jingnan Guo
Robert Wimmer-Schweingruber
Livio Narici
author_sort Salman Khaksarighiri
title An easy-to-use function to assess deep space radiation in human brains
title_short An easy-to-use function to assess deep space radiation in human brains
title_full An easy-to-use function to assess deep space radiation in human brains
title_fullStr An easy-to-use function to assess deep space radiation in human brains
title_full_unstemmed An easy-to-use function to assess deep space radiation in human brains
title_sort easy-to-use function to assess deep space radiation in human brains
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/5783d90de9e04a84bcfacae58e400263
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