Neutron Yields from Alpha-Particle Bombardment

Bair, J.K.; Campo, J. Gómez del

doi:10.13182/nse71-18

Cited by 84 publications

(46 citation statements)

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“…Based on Bair's recommendation, the lowerenergy 17,18 O(α,n) cross sections were scaled by a large normalization factor of 1.35 applied to all thin-target data sets. This normalization of cross sections was performed on the basis of Bair's thick-target measurements of nat O(α,n) [10] that had much smaller uncertainty. After these data sets were normalized, a new error of about 7% was assigned as stated in [10].…”

Section: Resultsmentioning

confidence: 99%

“…This normalization of cross sections was performed on the basis of Bair's thick-target measurements of nat O(α,n) [10] that had much smaller uncertainty. After these data sets were normalized, a new error of about 7% was assigned as stated in [10]. Figures 3 and 4 show the 17,18 O(α,n) cross section reconstructed from the preliminary set of resonance parameters in good agreement with the experimental data sets of Table 1.…”

Section: Resultsmentioning

confidence: 99%

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Early applications of the R-matrix SAMMY code for charged-particle induced reactions and related covariances

2017

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Abstract. The SAMMY code system is mainly used in nuclear data evaluations for incident neutrons in the resolved resonance region (RRR), however, built-in capabilities also allow the code to describe the resonance structure produced by other incident particles, including charged particles. (α,n) data provide fundamental information that underpins nuclear modeling and simulation software, such as ORIGEN and SOURCES4C, used for the analysis of neutron emission and definition of source emission processes. The goal of this work is to carry out evaluations of charged-particle-induced reaction cross sections in the RRR. The SAMMY code was recently used in this regard to generate a Reich-Moore parameterization of the available 17,18 O(α,n) experimental cross sections in order to estimate the uncertainty in the neutron generation rates for uranium oxide fuel types. This paper provides a brief description of the SAMMY evaluation procedure for the treatment of 17,18 O(α,n) reaction cross sections. The results are used to generate neutron source rates for a plutonium oxide matrix.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Early applications of the R-matrix SAMMY code for charged-particle induced reactions and related covariances

2017

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“…To validate this code, we compare the neutron yields computed by NeuCBOT with various measurements reported by [6,7,8,9] and calculations done using SOURCES-4C [1]. For SOURCES-4C calculations, data not included in the default SOURCES-4C libraries were added from either JENDL [10] or the EMPIRE code [11], as discussed in [2].…”

Section: # Example Semi-heavy Watermentioning

confidence: 99%

“…The straight black line indicates perfect agreement. Solid dots represent measurements presented in [6], squares in [8], upward triangles in [9], and hollow circles in [7]; downward triangles are SOURCES-4C [1] calculations. Reference yields reported per isotope were compared to NeuCBOT calculations for that isotope; references yields reported per element were compared to NeuCBOT assuming natural abundances; SOURCES-4C comparisons were done at natural abundances.…”

Section: # Example Semi-heavy Watermentioning

confidence: 99%

A new tool for (α,n) yield calculations and its implications for DEAP-3600

Westerdale¹

2018

AIP Conference Proceedings

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Abstract. Neutron-induced nuclear recoils present one of the dominant backgrounds in many low-background experiments. These neutrons are largely radiogenic in origin, coming from fission and (α, n) reactions in detector components. The (α, n) neutron production rate in a material depends on its composition and the energies of the α decays inside of it. We present NeuCBOT, the Neutron Calculator Based on TALYS, a new tool for calculating the (α, n) yields and neutron energy spectra for materials exposed to a given set of α energies or α-emitting isotopes. We benchmark these calculations against measured yields and SOURCES-4C calculations. We discuss these yield calculations in the context of DEAP-3600, a Weakly Interactive Massive Particle dark matter detector at SNOLAB. Using NeuCBOT and Geant4 simulations, we predict the neutron-induced nuclear recoil background in DEAP-3600. We then present in-situ constraints on the neutron background rate in DEAP-3600, consistent with our prediction.

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“…Cross sections for neon producing reactions have been measured over the last several decades (Bair and Willard, 1962;Hansen et al, 1967;Bair and Del Campo, 1979;Norman et al, 1984), usually using a thin-target approach in which the cross section is determined by measuring the production rate of neutrons using alpha particles at just a single energy. In contrast, nucleogenic neon production in a mineral involves reactions occurring along the entire trajectory as the alpha particle slows and eventually comes to rest, and thus involves an integral along the alpha particle energy path.…”

Section: The Production Of Neon By Uranium and Thorium Decaymentioning

confidence: 99%

Direct measurement of neon production rates by (α,n) reactions in minerals

Cox

Farley

Cherniak

2015

Geochimica et Cosmochimica Acta

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Please cite this article as: Cox, S.E., Farley, K.A., Cherniak, D.J., Direct measurement of neon production rates by (α,n) reactions in minerals, Geochimica et Cosmochimica Acta (2014), doi: http://dx.doi.org/10.1016/j.gca. 2014.08.036 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.1 Direct measurement of neon production rates by ( ,n) reactions in minerals ,n) reactions in minerals He production rate ratios for a variety of minerals of geochemical interest along with software for calculating neon production rates and (U-Th)/Ne ages.

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Neutron Yields from Alpha-Particle Bombardment

Cited by 84 publications

References 0 publications

Early applications of the R-matrix SAMMY code for charged-particle induced reactions and related covariances

Early applications of the R-matrix SAMMY code for charged-particle induced reactions and related covariances

A new tool for (α,n) yield calculations and its implications for DEAP-3600

Direct measurement of neon production rates by (α,n) reactions in minerals

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