Use of Bayesian Optimization to understand the structure of nuclei

Hooker, J.; Kovoor, J.; Jones, K. L.; Kanungo, R.; Alcorta, M.; Allen, J.; Andreoiu, C.; Atar, L.; Bardayan, D. W.; Bhattacharjee, S. S.; Blankstein, D.; Burbadge, C.; Burcher, S.; Catford, W. N.; Cha, Seung-Do; Chae, K. Y.; Connolly, D.; Davids, B.; Esker, N. E.; García, Flechas; Gillespie, S. A.; Ghimire, Rakesh; Gula, A.; Hackman, G.; Hallam, S.; Hellmich, Martin; Henderson, J. R.; Holl, M.; Jassal, P.; King, S. B.; Knight, T. M.; Krüecken, R.; Lepailleur, A.; Liang, Jian‐Gang; Morrison, L.; O’Malley, P. D.; Pain, S. D.; Pereira-López, X.; Psaltis, A.; Radich, A. J.; Shotter, A.C.; Vostinar, M.; Williams, M.; Workman, O.

doi:10.1016/j.nimb.2021.11.014

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The advantages of using the (d,p) reaction at low energy (E beam = 9.5 AMeV) are that the energy and angular momentum-matching conditions are ideal for populating low-ℓ, near-threshold states. The non-Gaussian experimental response caused by increasingly poor resolution for lower-energy protons exiting the solid deuterium target necessitated an analysis technique that included both simulation and Bayesian fitting methods, as demonstrated in [46]. The initial analysis included the 5 2 + resonance at approximately 2 MeV and a single s-, p-, or d-wave virtual state or resonance closer to the threshold, referenced as "single" in Table 2.…”

Section: Recent Transfer Reaction Measurementmentioning

confidence: 99%

Status of experimental knowledge on the unbound nucleus 13Be

Jones,

Kovoor,

Kanungo

2023

Front. Phys.

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The structure of the unbound nucleus 13Be is important for understanding the Borromean, two-neutron halo nucleus 14Be. The experimental studies conducted over the last four decades are reviewed in the context of the beryllium chain of isotopes and some significant theoretical studies. The focus of this paper is the comparison of new data from a 12Be(d,p) reaction in inverse kinematics, which was analyzed using Geant4 simulations and a Bayesian fitting procedure, with previous measurements. Two possible scenarios to explain the strength below 1 MeV above the neutron separation energy were proposed in that study: a single p-wave resonance or a mixture of an s-wave virtual state with a weaker p- or d-wave resonance. Comparisons of recent invariant mass and the (d,p) experiments show good agreement between the transfer measurement and the two most recent high-energy nucleon removal measurements.

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Section: Recent Transfer Reaction Measurementmentioning

confidence: 99%

Status of experimental knowledge on the unbound nucleus 13Be

Jones,

Kovoor,

Kanungo

2023

Front. Phys.

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“…Markov chain Monte Carlo (MCMC) methods offer efficient sampling algorithms to systematically explore complex high-dimensional parameter spaces [21,22]. With the advent of modern computational power, the use of MCMC techniques to solve problems in the Bayesian framework is becoming increasingly important in nuclear physics, especially in studies of heavy-ion collisions [23][24][25][26][27][28][29] and low-energy nuclear reactions [30][31][32][33][34][35]. Despite the many recent applications mentioned above, to the best of our knowledge, no DSAM data have ever been analyzed within a Bayesian-MCMC framework.…”

Section: Introductionmentioning

confidence: 99%

First application of Markov Chain Monte Carlo-based Bayesian data analysis to the Doppler-Shift Attenuation Method

Sun¹,

Fry²,

Davids³

et al. 2022

Preprint

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Motivated primarily by the large uncertainties in the thermonuclear rate of the 30 P(p, γ) 31 S reaction that limit our understanding of classical novae, we carried out lifetime measurements of 31 S excited states using the Doppler Shift Lifetimes (DSL) facility at the TRIUMF Isotope Separator and Accelerator (ISAC-II) facility. The 31 S excited states were populated by the 3 He( 32 S, α) 31 S reaction. The deexcitation γ rays were detected by a clover-type high-purity germanium detector in coincidence with the α particles detected by a silicon detector telescope. We have applied modern Markov chain Monte Carlo-based Bayesian methods to perform lineshape analyses of Doppler-Shift Attenuation Method γ-ray data for the first time. We have determined the lifetimes for the two lowest-lying 31 S excited states. Upper limits on the previously unknown lifetimes of four higher-lying states have been obtained. The experimental results were compared to the shell-model calculations using five universal sd-shell Hamiltonians. The γ rays originating from the astrophysically important J π = 3/2 + , 260-keV 30 P(p, γ) 31 S resonance have also been observed, but the lifetime is expected to be better constrained with more statistics at the upgraded DSL2 facility.

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