Validation of nuclear models used in space radiation shielding applications

Norman, Ryan B.; Blattnig, Steve R.

doi:10.1016/j.jcp.2012.09.006

Cited by 15 publications

(4 citation statements)

References 47 publications

(53 reference statements)

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“…The interval analysis used in this work is an extension of the metrics developed by Norman and Blattnig [, ]. A graphical representation of the symbols and nomenclature used to represent experimental data is shown in Figure .…”

Section: Interval‐based Validation Metricsmentioning

confidence: 99%

GCR environmental models III: GCR model validation and propagated uncertainties in effective dose

Slaba

Blattnig

et al. 2014

Space Weather

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This is the last of three papers focused on quantifying the uncertainty associated with galactic cosmic rays (GCR) models used for space radiation shielding applications. In the first paper, it was found that GCR ions with Z > 2 and boundary energy below 500 MeV/nucleon induce less than 5% of the total effective dose behind shielding. This is an important finding since GCR model development and validation have been heavily biased toward Advanced Composition Explorer/Cosmic Ray Isotope Spectrometer measurements below 500 MeV/nucleon. Weights were also developed that quantify the relative contribution of defined GCR energy and charge groups to effective dose behind shielding. In the second paper, it was shown that these weights could be used to efficiently propagate GCR model uncertainties into effective dose behind shielding. In this work, uncertainties are quantified for a few commonly used GCR models. A validation metric is developed that accounts for measurements uncertainty, and the metric is coupled to the fast uncertainty propagation method. For this work, the Badhwar-O'Neill (BON) 2010 and 2011 and the Matthia GCR models are compared to an extensive measurement database. It is shown that BON2011 systematically overestimates heavy ion fluxes in the range 0.5-4 GeV/nucleon. The BON2010 and BON2011 also show moderate and large errors in reproducing past solar activity near the 2000 solar maximum and 2010 solar minimum. It is found that all three models induce relative errors in effective dose in the interval [À20%, 20%] at a 68% confidence level. The BON2010 and Matthia models are found to have similar overall uncertainty estimates and are preferred for space radiation shielding applications.

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Section: Interval‐based Validation Metricsmentioning

confidence: 99%

GCR environmental models III: GCR model validation and propagated uncertainties in effective dose

Slaba

Blattnig

et al. 2014

Space Weather

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“…Knowledge and characterization of the near-Earth space radiation environment 1) is essential for a wide-range of areas such as space weather 2) , space radiation health protection and dosimetry 3,4) , radiation damage effects on components and instruments 5,6) , space radiation shielding 7) and space situational awareness 8,9) . Sources include direct solar radiation, galactic cosmic rays and extragalactic astrophysical objects.…”

Section: Introductionmentioning

confidence: 99%

Timepix-Based Miniaturized Radiation Micro-Tracker for the Micro-Satellite RISESAT

Granja¹,

Platkevič²,

Tureček³

et al. 2014

AEROSPACE TECHNOLOGY JAPAN

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A customized lightweight and low-power radiation micro-tracker has been constructed for the microsatellite RISESAT (Rapid International Scientific Experiment Satellite) developed by Tohoku University for scientific experiments in space. The instrument is based on hybrid semiconductor pixel detector technology developed by the Medipix Collaboration. These Timepix detectors consist of an array of 256 × 256 (= 65 k) pixels with 55 m pitch distributed over area of 2 cm 2 . Each cell is connected to the corresponding pixel on the 300 m thick siliconsensor. Each pixel integrates electronics which enables counting of the number of particles, to measure the energy deposited or to register the time of interaction of ionizing particles per-pixel. Two independent detector layers operate as a radiation micro-telescope and provide high resolution and high sensitivity tracking and directional detection of energetic charged particles (electrons, muons, pions, protons, light ions up to heavy and relativistic ions). Also X-rays and even neutrons can be detected. The pixel detectors provide noiseless detection of single radiation quanta, measure their energy, position, direction of trajectory and time of interaction. Different types of particles and interactions can be identified and distinguished thanks to the detector's high spatial granularity.

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“…The uncertainty quantification (UQ) metrics described in [19,20] were used to compare the previous results by Werneth et al [7] to the new results presented herein. The UQ analysis treats each experimental datum point as an interval defined by its uncertainty.…”

mentioning

confidence: 99%

“…Probability distribution functions (PDFs) are assembled for both UQ metrics, and the median of the Cumulative Distribution Function (CDF) is reported herein. See references [7,19,20] for more discussion and justification of the UQ metrics.…”

mentioning

confidence: 99%

Relativistic three-dimensional Lippmann-Schwinger cross sections for space radiation applications

Werneth

Norman

et al. 2017

Nuclear Instruments and Methods in Physics Research Section B:

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Radiation transport codes require accurate nuclear cross sections to compute particle fluences inside shielding materials. The Tripathi semi-empirical reaction cross section, which includes over 60 parameters tuned to nucleon-nucleus (NA) and nucleus-nucleus (AA) data, has been used in many of the world's best-known transport codes. Although this parameterization fits well to reaction cross section data, the predictive capability of any parameterization is questionable when it is used beyond the range of the data to which it was tuned. Using uncertainty analysis, it is shown that a relativistic Three-Dimensional Lippmann-Schwinger (LS3D) equation model based on Multiple Scattering Theory (MST) that uses 5 parameterizations-3 fundamental parameterizations to nucleon-nucleon (NN) data and 2 nuclear charge density parameterizations-predicts NA and AA reaction cross sections as well as the Tripathi cross section parameterization for reactions in which the kinetic energy of the projectile in the laboratory frame (T Lab ) is greater than 220 MeV/n. The relativistic LS3D model has the additional advantage of being able to predict highly accurate total and elastic cross sections. Consequently, it is recommended that the relativistic LS3D model be used for space radiation applications in which T Lab > 220 MeV/n.

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Validation of nuclear models used in space radiation shielding applications

Cited by 15 publications

References 47 publications

GCR environmental models III: GCR model validation and propagated uncertainties in effective dose

GCR environmental models III: GCR model validation and propagated uncertainties in effective dose

Timepix-Based Miniaturized Radiation Micro-Tracker for the Micro-Satellite RISESAT

Relativistic three-dimensional Lippmann-Schwinger cross sections for space radiation applications

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