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  • 2020-2024  (2)
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  • 1
    Publication Date: 2023-07-27
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The Radiation Assessment Detector (RAD) on board the Mars Science Laboratory's Curiosity rover has been monitoring the surface radiation environment on Mars for just over 10 years. It has been found by Wimmer‐Schweingruber et al. (2015, 〈ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1002/2015gl066664"〉https://doi.org/10.1002/2015gl066664〈/ext-link〉) that within the narrow view cone of RAD, the directionality of the radiation field is close to but not completely isotropic. In order to better understand the directionality of the surface radiation over a wide range of zenith angles (〈italic〉θ〈/italic〉), we perform a three‐dimensional Geant4 Monte Carlo simulation to derive the 〈italic〉θ〈/italic〉‐dependence of the surface dose rate. The results show that galactic cosmic ray protons, coming in at 〈italic〉θ〈/italic〉 ∼ 74° make the greatest contribution to the surface dose. For helium ions, this angle is at around 46°. This is a consequence of the increasing column depth at larger zenith angles and the complex interplay of the destruction of primary and the creation of secondary particles as the primary cosmic ray interacts with the Martian atmosphere. We also compared the simulated results with the RAD measurements and found a reasonable agreement. Our results are important for future human exploration of Mars, for instance, to estimate the effectiveness of radiation shielding of a given geometry or for optimizing the radiation shielding design of a Martian habitat.〈/p〉
    Description: Plain Language Summary: Space agencies and private companies are working to place humans on the surface of Mars. Astronauts would be exposed to a different and considerably harsher radiation environment on Mars than humans are on Earth. Space radiation is largely determined by galactic cosmic rays, which have sufficient energy to reach the Martian surface. Thus, a better understanding of the radiation on the surface of Mars is needed. The shielding provided by the atmosphere increases with the zenith angle, and it also causes an increase in the creation of secondary particles. To better understand this, we perform a Geant4 Monte Carlo simulation to derive the dependence of the surface dose rate on the zenith angle 〈italic〉θ〈/italic〉. The results show that the radiation dose on the surface of Mars depends on the incoming angle of the primary radiation. Moreover, the radiation dose rate is significantly modulated by solar activity, and the Mars surface dose rate differs by about 50% between solar maximum and minimum periods. We validate our simulation by comparing the dose measured by the Mars Science Laboratory Radiation Assessment Detector and find good agreement.〈/p〉
    Description: Key Points: We model the downward radiation dose on the surface of Mars and find that it only depends weakly on the zenith angle. The surface dose rate depends on solar modulation, and weaker modulation results in higher dose rate for each.The local topographical features influence the Martian surface radiation.
    Description: Deutsches Zentrum für Luft‐und Raumfahrt http://dx.doi.org/10.13039/501100002946
    Description: Jet Propulsion Laboratory http://dx.doi.org/10.13039/100006196
    Description: Strategic Priority Program of CAS
    Description: National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809
    Description: Civil Aerospace Technologies
    Description: NASA Johnson Space Center
    Description: https://doi.org/10.17189/1519761
    Description: https://doi.org/10.17189/1519760
    Description: https://doi.org/10.17189/1523028
    Description: https://doi.org/10.5281/zenodo.7257306
    Keywords: ddc:523 ; space radiation ; Mars exploration ; MSL mission ; zenith angle
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2024-01-08
    Description: The unique flavor of Pixian douban (PXDB) is widely acknowledged to be associated with its maturation process. However, there is limited knowledge about the non-volatile metabolites that contribute to this flavor. To bridge this gap, this study employed a metabolomics approach and a feature-based molecular network (FBMN) analysis to investigate the non-volatile metabolite fingerprints of PXDB during its two-year maturation process. Specifically, the FBMN tool was utilized to annotate the flavonoid, amide derivatives, and lipid components of PXDB for the first time. Subsequently, the MolNetEnhancer tool was employed to complement the FBMN annotation and identify eight substructural components. Finally, metabolomics analysis was carried out to identify 45 key metabolites involved in flavor formation across 10 major metabolic pathways (p 〈 0.05). Overall, the findings of this study have significantly expanded our understanding of the non-volatile metabolite fingerprinting and flavor formation mechanisms.
    Type: Article , PeerReviewed
    Format: text
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