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NSR database version of May 1, 2024.

Search: Author = M.Catacora-Rios

Found 4 matches.

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2023CA11      Phys.Rev. C 108, 024601 (2023)

M.Catacora-Rios, A.E.Lovell, F.M.Nunes

Complete quantification of parametric uncertainties in (d, p) transfer reactions

NUCLEAR REACTIONS 14C, 16O, 48Ca(d, p), E=7-24 MeV; analyzed mock data generated from a global optical potential and real experimental data for differential σ(θ, E) and asymptotic normalization coefficients (ANC); deduced parametric uncertainties in transfer reactions σ including the uncertainties associated with the final bound state. Metropolis-Hastings Bayesian Markov chain Monte Carlo (MH-MCMC) and three-body model ADWA. Relevance to uncertainty quantification in the design of future experiments.

doi: 10.1103/PhysRevC.108.024601
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2021CA29      Phys.Rev. C 104, 064611 (2021)

M.Catacora-Rios, G.B.King, A.E.Lovell, F.M.Nunes

Statistical tools for a better optical model

NUCLEAR REACTIONS 48Ca(p, p), E=9, 65 MeV; analyzed experimental data for parameter posterior distributions, σ(θ, E), parameter sensitivities using surface and volume models; deduced depth, radius, and diffuseness of the real part of the optical potential. 48Ca(polarized p, p), E=12, 21 MeV; analyzed experimental data for differential σ(E), analyzing powers iT11, sensitivity matrix. 48Ca(n, n), (polarized n, n), E=12 MeV; 48Ca(p, p), (polarized p, p), E=12, 14, 21 MeV; 208Pb(p, p), (polarized p, p), E=30, 61 MeV; 208Pb(n, n), (polarized n, n), E=30 MeV; analyzed experimental data for ratio between the Bayesian evidence using polarization data over that with cross section data. Analysis of experimental data used three statistical tools: the principal component analysis, the sensitivity analysis based on derivatives, and the Bayesian evidence for optical potential parameters. Relevance to the goal of constraining the optical potential.

doi: 10.1103/PhysRevC.104.064611
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2021LO01      J.Phys.(London) G48, 014001 (2021)

A.E.Lovell, F.M.Nunes, M.Catacora-Rios, G.B.King

Recent advances in the quantification of uncertainties in reaction theory

NUCLEAR REACTIONS 40Ca(n, n), (n, p), (p, p), (d, d), E=11.9-30 MeV; analyzed available data; deduced different optimization schemes used to constrain the optical potential from σ(θ), uncertainties propagation.

doi: 10.1088/1361-6471/abba72
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2019CA29      Phys.Rev. C 100, 064615 (2019)

M.Catacora-Rios, G.B.King, A.E.Lovell, F.M.Nunes

Exploring experimental conditions to reduce uncertainties in the optical potential

NUCLEAR REACTIONS 48Ca(n, n), E=12, 14 MeV; 48Ca(p, p), E=12, 14, 21, 24, MeV; 48Ca(d, p), E=21 MeV; 208Pb(n, n), E=30, 32 MeV; 208Pb(p, p), E=30, 32, 35, 61, 65 MeV; 208Pb(d, p), E=61 MeV; analyzed mock data generated from a global optical potential, and real experimental data for differential σ(θ, E) and total σ(E) using Markov-chain Monte Carlo Bayesian approach and the three-body model ADWA for the reaction with the selection of different experimental conditions such as ranges of angular distributions, neighboring incident energies, and reducing the experimental uncertainties to investigate effects on the uncertainties of the optical model parameters. Relevance to uncertainty quantification (UQ) in the design of future experiments.

doi: 10.1103/PhysRevC.100.064615
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