Astrophysical S-factor for the 3He(α,γ)7Be reaction via the asymptotic normalization coefficient (ANC) method

Kiss, G.; Cognata, M. La; Spitaleri, C.; Yarmukhamedov, R.; Wiedenhöver, I.; Baby, L. T.; Cherubini, S.; Cvetinović, A.; D’Agata, G.; Figuera, P.; Guardo, G. L.; Gulino, M.; Hayakawa, S.; Indelicato, I.; Lamia, L.; Латтуада, М.; Mudó, F.; Palmerini, S.; Pizzone, R. G.; Rapisarda, G. G.; Романо, С.; Sergi, M. L.; Spartà, R.; Trippella, O.; Туміно, А.; Anastasiou, M.; Kuvin, S. A.; Rijal, Nabin; Schmidt, B.; Igamov, S. B.; Sakuta, S.B.; Tursunmakhatov, K. I.; Fülöp, Zs.; Gyürky, Gy.; Szücs, T.; Halász, Z.; Somorjai, E.; Hons, Z.; Mrázek, J.; Tribble, R. E.; Mukhamedzhanov, A. M.

doi:10.1016/j.physletb.2020.135606

Cited by 35 publications

(9 citation statements)

References 45 publications

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“…Unfortunately, in the case of the 7 Be system, there is limited information available for the bound state α-particle ANCs. A recent first measurement has been reported by Kiss et al [59], but the ANCs are rather discrepant from those found from this and past R-matrix analyses of capture data. This inconsistency has not been investigated here, but needs to be addressed in future work.…”

Section: Priors On R-matrix Parameterscontrasting

confidence: 81%

Performing Bayesian Analyses With AZURE2 Using BRICK: An Application to the 7Be System

et al. 2022

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Phenomenological R-matrix has been a standard framework for the evaluation of resolved resonance cross section data in nuclear physics for many years. It is a powerful method for comparing different types of experimental nuclear data and combining the results of many different experimental measurements in order to gain a better estimation of the true underlying cross sections. Yet a practical challenge has always been the estimation of the uncertainty on both the cross sections at the energies of interest and the fit parameters, which can take the form of standard level parameters. Frequentist (χ2-based) estimation has been the norm. In this work, a Markov Chain Monte Carlo sampler, emcee, has been implemented for the R-matrix code AZURE2, creating the Bayesian R-matrix Inference Code Kit (BRICK). Bayesian uncertainty estimation has then been carried out for a simultaneous R-matrix fit of the 3He (α,γ)7Be and 3He (α,α)3He reactions in order to gain further insight into the fitting of capture and scattering data. Both data sets constrain the values of the bound state α-particle asymptotic normalization coefficients in 7Be. The analysis highlights the need for low-energy scattering data with well-documented uncertainty information and shows how misleading results can be obtained in its absence.

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Section: Priors On R-matrix Parameterscontrasting

confidence: 81%

Performing Bayesian Analyses With AZURE2 Using BRICK: An Application to the 7Be System

et al. 2022

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“…Unfortunately, in the case of the 7 Be system, there is limited information available for the bound state α-particle ANCs. A recent first measurement has been reported by Kiss et al [58], but the ANCs are rather discrepant from those found from this and past R-matrix analyses of capture data. This inconsistency has not been investigated here, but needs to be addressed in future work.…”

Section: B Priors On R-matrix Parameterscontrasting

confidence: 81%

Performing Bayesian analyses with AZURE2 using BRICK: an application to the ${}^7$Be system

Odell¹,

Brune²,

Phillips³

et al. 2021

Preprint

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Phenomenological R-matrix has been a standard framework for the evaluation of resolved resonance cross section data in nuclear physics for many years. It is a powerful method for comparing different types of experimental nuclear data and combining the results of many different experimental measurements in order to gain a better estimation of the true underlying cross sections. Yet a practical challenge has always been the estimation of the uncertainty on both the cross sections at the energies of interest and the fit parameters, which can take the form of standard level parameters. Frequentist (χ 2 -based) estimation has been the norm. In this work, a Markov Chain Monte Carlo sampler, emcee, has been implemented for the R-matrix code AZURE2, creating the Bayesian R-matrix Inference Code Kit (BRICK). Bayesian uncertainty estimation has then been carried out for a simultaneous R-matrix fit of the 3 He(α, γ) 7 Be and 3 He(α, α) 3 He reactions in order to gain further insight into the fitting of capture and scattering data. Both data sets constrain the values of the bound state α-particle asymptotic normalization coefficients in 7 Be. The analysis highlights the need for low-energy scattering data with well-documented uncertainty information and shows how misleading results can be obtained in its absence.

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“…The latter include the use of recoil separators such as ERNA at INFN/Naples [104], St. George at the University of Notre Dame [105], and DRAGON at TRI-UMF [106,107]; as well as new detector technologies such as the use of high-resolution silicon detector arrays [108] or active targets that track individual reaction products at TUNL's HIγS [109], quasi-spectroscopic neutron detectors [110], or compact coincidence detection configurations at TUNL's LENA [111]. In addition, indirect experimental methods such as the Trojan Horse Method or those used to extract asymptotic normalization coefficients have been developed, enabling the determination of reaction rates that are too low for direct measurements [112][113][114]. In addition, the prediction of reaction rates by ab initio many-body theory (or 'from first principles') has made remarkable progress [115,116]), and the calculation of reactions beyond the lightest nuclei has now become feasible, e.g., for α-capture reactions [117] and nucleon scattering [118,119].…”

Section: How Did We Get Here?mentioning

confidence: 99%

Horizons: nuclear astrophysics in the 2020s and beyond

Schatz

Reyes

Best

et al. 2022

J. Phys. G: Nucl. Part. Phys.

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Nuclear astrophysics is a field at the intersection of nuclear physics and astrophysics, which seeks to understand the nuclear engines of astronomical objects and the origin of the chemical elements. This white paper summarizes progress and status of the field, the new open questions that have emerged, and the tremendous scientific opportunities that have opened up with major advances in capabilities across an ever growing number of disciplines and subfields that need to be integrated. We take a holistic view of the field discussing the unique challenges and opportunities in nuclear astrophysics in regards to science, diversity, education, and the interdisciplinarity and breadth of the field. Clearly nuclear astrophysics is a dynamic field with a bright future that is entering a new era of discovery opportunities.

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Astrophysical S-factor for the 3He(α,γ)7Be reaction via the asymptotic normalization coefficient (ANC) method

Cited by 35 publications

References 45 publications

Performing Bayesian Analyses With AZURE2 Using BRICK: An Application to the 7Be System

Performing Bayesian Analyses With AZURE2 Using BRICK: An Application to the 7Be System

Performing Bayesian analyses with AZURE2 using BRICK: an application to the ${}^7$Be system

Horizons: nuclear astrophysics in the 2020s and beyond

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