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We demonstrate that Bayesian machine learning can be used to treat the vast amount of experimental fission data which are noisy, incomplete, discrepant, and correlated. As an example, the two-dimensional cumulative fission yields (CFY) of…

Nuclear Theory · Physics 2022-09-14 Z. A. Wang , J. C. Pei , Y. J. Chen , C. Y. Qiao , F. R. Xu , Z. G. Ge , N. C. Shu

Dissipative dynamics of nuclear fission is a well confirmed phenomenon described either by a Kramers-modified statistical model or by a dynamical model employing the Langevin equation. Though dynamical models as well as statistical models…

Nuclear Theory · Physics 2023-02-02 Divya Arora , P. Sugathan , A. Chatterjee

$[Background]$ Measurements of the neutron charge form factor, $G^n_E$, are challenging due to the fact that the neutron has no net charge. In addition, measurements of the neutron form factors must use nuclear targets which require…

The emission of prompt fission $\gamma$ rays within a few nanoseconds to a few microseconds following the scission point is studied in the Hauser-Feshbach formalism applied to the deexcitation of primary excited fission fragments. Neutron…

Nuclear Theory · Physics 2016-12-28 P. Talou , T. Kawano , I. Stetcu , J. P. Lestone , E. McKigney , M. B. Chadwick

Fission fragments' charge and mass distribution is an important input to applications ranging from basic science to energy production or nuclear non-proliferation. In simulations of nucleosynthesis or calculations of superheavy elements,…

Nuclear Theory · Physics 2021-05-12 Marc Verriere , David Regnier , Nicolas Schunck

Pre-saddle neutron multiplicity has been calculated for several fission reactions induced by heavy ions and light particles. Experimentally, it is impossible to determine the contribution of neutrons being emitted before the saddle point…

Nuclear Theory · Physics 2013-06-04 S. Soheyli , M. K. Khalili

Actinide nuclei exhibit mass-asymmetric fission at low energy due to shell structure. The fission-fragment mass distributions produced at high energy tend to have a symmetric shape due to smearing of shell effects. On the other hand, the…

Nuclear Theory · Physics 2025-10-22 S. Takagi , S. Harada , Y. Aritomo , K. Hirose , K. Nishio

The isotope yields of fragments, produced in the decay of the quasiprojectile in Au+Au peripheral collisions at 35 MeV/nucleon and those coming from the disassembly of the unique source formed in Xe+Cu central reactions at 30 MeV/nucleon,…

We propose a method to measure the energy dependence of the neutron optical potential $dV_{opt}/dE$ in the slow neutron energy regime. Our method makes essential use of a special property of the phase shift for a nonrelativistic neutron in…

We solve the Langevin equations for the time evolution of parameters that describe the shape of fissioning system. On each integration step, we calculate the probability of neutron emission and estimate whether a neutron would be emitted or…

Nuclear Theory · Physics 2026-05-04 F. A. Ivanyuk , S. V. Radionov , C. Ishizuka , S. Chiba

We investigate the possibilities of producing neutron-rich nuclides in projectile fission of heavy beams in the energy range of 20 MeV/nucleon expected from low-energy facilities. We report our efforts to theoretically describe the reaction…

Nuclear Experiment · Physics 2016-12-28 N. Vonta , G. A. Souliotis , W. D. Loveland , Y. K. Kwon , K. Tshoo , S. C. Jeong , M. Veselsky , A. Bonasera , A. Botvina

In the study of strongly correlated electrons, one of the challenging core tasks is to develop the potential techniques for direct detection of the many-body correlations of strongly correlated electrons. The $(\gamma, 2e)$ photoemission…

Superconductivity · Physics 2024-10-07 Yuehua Su , Kun Cao , Chao Zhang

In part I, we presented the ring-polymer instanton with explicit friction (RPI-EF) method and showed how it can be connected to the \textit{ab initio} electronic friction formalism. This framework allows the calculation of tunneling…

Chemical Physics · Physics 2022-05-17 Y. Litman , E. S. Pós , C. L. Box , R. Martinazzo , R. J. Maurer , M. Rossi

Prompt and $\beta$-delayed fission observables, such as the average number of prompt and delayed neutrons, the independent and cumulative fission product yields, and the prompt $\gamma$-ray energy spectra for the photonuclear reactions on…

Nuclear Theory · Physics 2023-04-26 Toshihiko Kawano , Amy E. Lovell , Shin Okumura , Hirokazu Sasaki , Ionel Stetcu , Patrick Talou

A theoretical model of one-body nuclear friction which was developed earlier, namely the chaos-weighted wall formula, is applied to a dynamical description of compound nuclear decay in the framework of the Langevin equation coupled with…

Nuclear Theory · Physics 2009-11-07 Gargi Chaudhuri , Santanu Pal

Charged point defects in materials are widely studied using Density Functional Theory (DFT) packages with periodic boundary conditions. The formation energy and defect level computed from these simulations need to be corrected to remove the…

Materials Science · Physics 2018-04-04 Mit H. Naik , Manish Jain

Fission neutron multiplicity distributions are known to be well reproduced by simple Gaussian distributions. Many previous evaluations of multiplicity distributions have adjusted the widths of Gaussian distributions to best fit the measured…

Nuclear Theory · Physics 2014-09-19 J. P. Lestone

The deuteron fragmentation by fast protons has been studied both near the kinematics of quasi-free proton - proton scattering and far away from it. We have concentrated on the interplay between different reaction mechanisms associated with…

Nuclear Theory · Physics 2009-11-10 N. B. Ladygina , A. V. Shebeko

The fragment yield ratios were investigated in the fission of 238,233U targets induced by 14 MeV neutrons. The isoscaling behavior was typically observed for the isotopic chains of fragments ranging from the proton-rich to the most…

Nuclear Experiment · Physics 2009-11-10 M. Veselsky , G. A. Souliotis , M. Jandel

As the size of transformer-based models continues to grow, fine-tuning these large-scale pretrained vision models for new tasks has become increasingly parameter-intensive. Parameter-efficient learning has been developed to reduce the…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Cheng Han , Qifan Wang , Yiming Cui , Zhiwen Cao , Wenguan Wang , Siyuan Qi , Dongfang Liu
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