Modern Nuclear Data Evaluation with the TALYS Code System

Koning, A. J.; Rochman, D.

doi:10.1016/j.nds.2012.11.002

Cited by 1,105 publications

(876 citation statements)

References 117 publications

(215 reference statements)

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“…However, given the lack of rigorous uncertainty estimates provided by existing data libraries, the variability in the cross section data gives us at least some estimate of uncertainty. Koning and Rochman (2012) describe the method of rigorous uncertainty estimation in TALYS nuclear data evaluations which consists of a Monte Carlo approach to propagation of uncertainty in various nuclear model parameters. Unfortunately, the available versions of TENDL (TALYS-based evaluated nuclear data library) do not include the uncertainty in (α, n) cross section and angular distribution.…”

Section: Uncertainty In the Calculationmentioning

confidence: 99%

Subterranean production of neutrons, 39Ar and 21Ne: Rates and uncertainties

Šrámek

Stevens

McDonough

et al. 2017

Geochimica et Cosmochimica Acta

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Accurate understanding of the subsurface production rate of the radionuclide 39 Ar is necessary for argon dating techniques and noble gas geochemistry of the shallow and the deep Earth, and is also of interest to the WIMP dark matter experimental particle physics community. Our new calculations of subsurface production of neutrons, 21 Ne, and 39 Ar take advantage of the state-of-the-art reliable tools of nuclear physics to obtain reaction cross sections and spectra (TALYS) and to evaluate neutron propagation in rock (MCNP6). We discuss our method and results in relation to previous studies and show the relative importance of various neutron, 21 Ne, and 39 Ar nucleogenic production channels. Uncertainty in nuclear reaction cross sections, which is the major contributor to overall calculation uncertainty, is estimated from variability in existing experimental and library data. Depending on selected rock composition, on the order of 10 7 -10 10 α particles are produced in one kilogram of rock per year (order of 1-10 3 kg −1 s −1 ); the number of produced neutrons is lower by ∼ 6 orders of magnitude, 21 Ne production rate drops by an additional factor of 15-20, and another one order of magnitude or more is dropped in production of 39 Ar. Our calculation yields a nucleogenic 21 Ne/ 4 He production ratio of (4.6 ± 0.6) × 10 −8 in Continental Crust and (4.2 ± 0.5) × 10 −8 in Oceanic Crust and Depleted Mantle. Calculated 39 Ar production rates span a great range from 29 ± 9 atoms kg-rock −1 yr −1 in the K-Th-U-enriched Upper Continental Crust to (2.6±0.8)×10 −4 atoms kg-rock −1 yr −1 in Depleted Upper Mantle. Nucleogenic 39 Ar production exceeds the cosmogenic production below ∼ 700 meters depth and thus, affects radiometric ages of groundwater. The 39 Ar chronometer, which fills in a gap between 3 H and 14 C, is particularly important given the need to tap deep reservoirs of ancient drinking water.

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Section: Uncertainty In the Calculationmentioning

confidence: 99%

Subterranean production of neutrons, 39Ar and 21Ne: Rates and uncertainties

Šrámek

Stevens

McDonough

et al. 2017

Geochimica et Cosmochimica Acta

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“…Our nuclear model (T6 [2]) depends on a set of parameters p = (p 1 , p 2 , ..., p N ) T . The experimental values x = (x 1 , x 2 , ..., x m )…”

Section: A Using File Weights -Mathematical Formalismmentioning

confidence: 99%

“…A practical solution to this is to use a prior distribution which covers all reasonable values in such a way that a modification of the prior has insignificant impact. In this first study, available random files from the tendl project [2] were used for practical reasons. These are not intended to be "prior files" but rather to quantify the uncertainty including the experimental information.…”

Section: A Using File Weights -Mathematical Formalismmentioning

confidence: 99%

“…Total Monte Carlo (tmc) [1,2] is a method for propagating nuclear data (nd) uncertainties based on sampling of nuclear model parameters, e.g. input parameters to talys [3].…”

Section: Introductionmentioning

confidence: 99%

“…input parameters to talys [3]. It is easy to implement using the publicly available random nd files from the tendl project [2] and it has been applied to a wide range of applications, see e.g. Refs.…”

Section: Introductionmentioning

confidence: 99%

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Incorporating Experimental Information in the Total Monte Carlo Methodology Using File Weights

Helgesson

Sjöstrand

Koning

et al. 2015

Nuclear Data Sheets

Self Cite

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Some criticism has been directed towards the Total Monte Carlo method because experimental information has not been taken into account in a statistically well-founded manner. In this work, a Bayesian calibration method is implemented by assigning weights to the random nuclear data files and the method is illustratively applied to a few applications. In most of the considered cases, the estimated nuclear data uncertainty is reduced and the central values are significantly shifted. The study suggests that the method can be applied both to estimate uncertainties in a more justified way and in the search for better central values. Some improvements are however necessary; for example, the treatment of outliers and cross-experimental correlations should be more rigorous and random files that are intended to be prior files should be generated.

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Detection and characterization of 0.5–8 MeV neutrons near Mercury: Evidence for a solar origin

et al. 2014

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[1] Data from the MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) Neutron Spectrometer (NS) have been used to identify energetic neutrons (0.5-8 MeV energy) associated with solar events that occurred on 4 June 2011. Multiple lines of evidence, including measurements from the NS and the MESSENGER Gamma-Ray Spectrometer, indicate that the detected neutrons have a solar origin. This evidence includes a lack of time-coincident, energetic (>45 MeV) charged particles that could otherwise create local neutrons from nearby spacecraft material and a lack of proton-induced gamma rays that should be seen if energetic protons were present. NS data cannot rule out the presence of lower-energy ions (<30 MeV) that can produce local neutrons. However, the ion spectral shape required to produce the measured neutron count rate locally is softer than any known ion spectral shape. The neutron energy spectrum shows a relative enhancement in the energy range 0.8-3 MeV compared with cosmic-ray-generated neutrons from the spacecraft or Mercury. The spectral shape of the measured neutron fluence spectrum is consistent with a previously modeled fluence spectrum of neutrons that originate at the Sun and are propagated through the MESSENGER spacecraft to the NS. These measurements provide strong evidence for a solar origin of the detected neutrons and suggest that a large number of low-energy threshold ion evaporation reactions were taking place on the Sun during the neutron event.

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Modern Nuclear Data Evaluation with the TALYS Code System

Cited by 1,105 publications

References 117 publications

Subterranean production of neutrons, 39Ar and 21Ne: Rates and uncertainties

Subterranean production of neutrons, 39Ar and 21Ne: Rates and uncertainties

Incorporating Experimental Information in the Total Monte Carlo Methodology Using File Weights

Detection and characterization of 0.5–8 MeV neutrons near Mercury: Evidence for a solar origin

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