2019
DOI: 10.1103/physrevc.100.025804
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New approach to determining radiative capture reaction rates at astrophysical energies

Abstract: Radiative capture reactions play a crucial role in stellar nucleosynthesis but have proved challenging to determine experimentally. In particular, the large uncertainty (∼100%) in the measured rate of the 12 C(α, γ) 16 O reaction is the largest source of uncertainty in any stellar evolution model. With development of new high current energy-recovery linear accelerators (ERLs) and high density gas targets, measurement of the 16 O(e, e α) 12 C reaction close to threshold using detailed balance opens up a new app… Show more

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Cited by 21 publications
(42 citation statements)
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References 52 publications
(171 reference statements)
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“…In the randomizations, we multiplied the individual pseudodata uncertainties as taken from Ref. [7,17] by the square root of the ratio of the original best fit S factor values, defined by the fit values in Table I, to the original measured uncertainties, given by the CTAG experiments. We further multiplied these uncertainties by the square root of the E 1 and E 2 reduced chi square values, the Birge factor [18], for the E 1 and E 2 fits, respectively.…”
Section: R-matrix Fits and S-factor Projectionsmentioning
confidence: 99%
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“…In the randomizations, we multiplied the individual pseudodata uncertainties as taken from Ref. [7,17] by the square root of the ratio of the original best fit S factor values, defined by the fit values in Table I, to the original measured uncertainties, given by the CTAG experiments. We further multiplied these uncertainties by the square root of the E 1 and E 2 reduced chi square values, the Birge factor [18], for the E 1 and E 2 fits, respectively.…”
Section: R-matrix Fits and S-factor Projectionsmentioning
confidence: 99%
“…Proposed OSGA experiments [8][9][10]31,32] as well as the OSEEA experiment [7] are expected to have several orders of magnitude improvement in integrated luminosity over previous experiments and should provide data at the lowest practical values of energy. We take our best R-matrix fits to the E 1 and E 2 CTAG S-factor data as the most probable description of the projected MIT data [7]. We then randomly varied the OSEEA S E 1 and S E 2 -factor pseudodata based on their projected uncertainties [7] according to a Gaussian probability distribution about the best fit S E 1 -and S E 2 -factor values.…”
Section: R-matrix Fits and S-factor Projectionsmentioning
confidence: 99%
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