2017
DOI: 10.1016/j.jastp.2017.09.016
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Spatial distribution of the atmospheric radionuclide production by galactic cosmic rays and its imprint in natural archives

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Cited by 9 publications
(3 citation statements)
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“…Here we used the production model by Poluianov et al (2016), which is a recent update of the widely used cosmic ray atmospheric cascade model (CRAC; Kovaltsov & Usoskin 2010;Kovaltsov et al 2012). This model provides absolute production rates and is in full agreement with other modern models (Pavlov et al 2017). The modulation potential φ is defined here (see the full formalism in Usoskin et al 2005) for the local interstellar spectrum according to Burger et al (2000).…”
Section: Reconstruction Of the Solar Modulation Potentialmentioning
confidence: 99%
“…Here we used the production model by Poluianov et al (2016), which is a recent update of the widely used cosmic ray atmospheric cascade model (CRAC; Kovaltsov & Usoskin 2010;Kovaltsov et al 2012). This model provides absolute production rates and is in full agreement with other modern models (Pavlov et al 2017). The modulation potential φ is defined here (see the full formalism in Usoskin et al 2005) for the local interstellar spectrum according to Burger et al (2000).…”
Section: Reconstruction Of the Solar Modulation Potentialmentioning
confidence: 99%
“…These are toolboxes, which allow a selection of different 'physics lists', i.e., sets of models for physical effects used in computations. Unfortunately, the existing physics models and the particular choice of the used 'physics list' may affect the result (e.g., Pavlov et al 2017), and so far there is no common agreement on which code and set of physics are the best.…”
Section: Modelling Of Productionmentioning
confidence: 99%
“…After that, the CI production can be relatively easily computed as an integral of the product of the yield function and the cosmic-ray (GCR or SEP) spectrum (Equation ( 9)) for any spectral shape. This method is commonly used in modelling of the CI production (e.g., Webber et al 2007;Poluianov et al 2016;Pavlov et al 2017), as well as for many other applications.…”
Section: Modelling Of Productionmentioning
confidence: 99%