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相关论文: The impact of individual nuclear masses on $r$-pro…

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We investigate the impact of the model estimating the masses of exotic nuclei on r-process nucleosynthesis, assessing the dependence of the abundance distribution on the specific properties of nuclear masses. By decomposing theoretical…

We have performed for the first time a complete $r$-process mass sensitivity study in the $N=82$ region. We take into account how an uncertainty in a single nuclear mass propagates to influence important quantities of neighboring nuclei,…

核理论 · 物理学 2022-10-26 M. Mumpower , D. -L. Fang , R. Surman , M. Beard , A. Aprahamian

The impact of nuclear mass uncertainties on the \emph{r}-process abundances has been systematically studied with the classical \emph{r}-process model by varying the mass of every individual nucleus in the range of $\pm0.1$ to $\pm3.0\…

核理论 · 物理学 2021-07-05 Xiao-Fei Jiang , Xin-Hui Wu , Peng-Wei Zhao

Nuclear masses are one of the key ingredients of nuclear physics that go into astrophysical simulations of the $r$ process. Nuclear masses effect $r$-process abundances by entering into calculations of Q-values, neutron capture rates,…

核理论 · 物理学 2014-11-17 M. Mumpower , R. Surman , M. Beard , D. -L. Fang , A. Aprahamian

Nuclear masses play a fundamental role in understanding how the heaviest elements in the Universe are created in the $r$-process. We predict $r$-process nucleosynthesis yields using neutron capture and photodissociation rates that are based…

核理论 · 物理学 2016-03-30 Dirk Martin , Almudena Arcones , Witold Nazarewicz , Erik Olsen

Rapid neutron capture or `$r$-process' nucleosynthesis may be responsible for half the production of heavy elements above iron on the periodic table. Masses are one of the most important nuclear physics ingredients that go into calculations…

核理论 · 物理学 2014-11-17 M. Mumpower , R. Surman , A. Aprahamian

Any simulation of the r-process is affected by uncertainties in our present knowledge of nuclear physics quantities and astrophysical conditions. It is common to quantify the impact of these uncertainties through a global sensitivity…

高能天体物理现象 · 物理学 2017-05-02 Zachary Shand , Rachid Ouyed , Nico Koning , Iris Dillmann , Reiner Krücken , Prashanth Jaikumar

Comparing observational abundance features with nucleosynthesis predictions of stellar evolution or explosion simulations can scrutinize two aspects: (a) the conditions in the astrophysical production site and (b) the quality of the nuclear…

Theoretical predictions of element yields from the rapid neutron capture (r-) process are subject to large uncertainties due to incomplete knowledge of nuclear properties and approximative hydrodynamical modeling of matter ejection. A major…

高能天体物理现象 · 物理学 2025-02-12 S. Martinet , S. Goriely

Uncertainties in nuclear models have a major impact on simulations that aim at understanding the origin of heavy elements in the universe through the rapid neutron capture process ($r$ process) of nucleosynthesis. Within the framework of…

Based on a simple site-independent approach, we attempt to reproduce the solar $r$-process abundance with four nuclear mass models, and investigate the impact of the nuclear mass uncertainties on the $r$ process. In this paper, we first…

核理论 · 物理学 2019-02-05 Z. Y. Wang , Q. G. Wen , T. H. Heng

Current models for the $r$ process are summarized with an emphasis on the key constraints from both nuclear physics measurements and astronomical observations. In particular, we analyze the importance of nuclear physics input such as…

核理论 · 物理学 2017-05-31 Toshitaka Kajino , Grant J. Mathews

We study the efficiency and sensitivity of r-process nucleosynthesis to 18 light-element nuclear reaction rates. We adopt empirical power-law relations to parameterize the reaction sensitivities. We utilize two different hydrodynamic models…

天体物理学 · 物理学 2016-08-30 T. Sasaqui , T. Kajino , G. J. Mathews , K. Otsuki , K. Nakamura

We explore the effects of nuclear masses on the temperature and neutron density conditions required for r-process nucleosynthesis using four nuclear mass models augmented by the latest atomic mass evaluation. For each model we derive the…

核理论 · 物理学 2013-01-31 X. D. Xu , B. Sun , Z. M. Niu , Z. Li , Y. -Z. Qian , J. Meng

The astrophysical rapid neutron capture process or `$r$ process' of nucleosynthesis is believed to be responsible for the production of approximately half the heavy element abundances found in nature. This multifaceted problem remains one…

核理论 · 物理学 2016-01-20 M. R. Mumpower , R. Surman , G. C. McLaughlin , A. Aprahamian

Due to the lack of experimental data on extremely neutron-rich nuclei, theoretical values derived from nuclear physics models are essential for the rapid neutron capture process ($r$-process). Metal-poor stars enriched by the $r$-process…

高能天体物理现象 · 物理学 2024-12-25 Meng-Hua Chen , Li-Xin Li , En-Wei Liang , Ning Wang

The propagation of uncertainties in reaction cross sections and rates of neutron-, proton-, and alpha-induced reactions into the final isotopic abundances obtained in nucleosynthesis models is an important issue in studies of…

高能天体物理现象 · 物理学 2025-01-07 T. Rauscher , N. Nishimura , G. Cescutti , R. Hirschi , A. St. J. Murphy , C. Travaglio

Studies attempting to quantify the sensitivity of the $r$-process abundances to nuclear input have to cope with the fact that the theoretical models they rely on, rarely come with confidence intervals. This problem has been dealt with by…

核理论 · 物理学 2023-08-15 Francesco Pogliano , Ann-Cecilie Larsen

Neutron rich nuclei has been studied with a new phenomenological mass formula. Predictions of different mass formulas for the location of the neutron dripline are compared with those from the present calculation. The implications of the new…

核理论 · 物理学 2012-07-13 Chirashree Lahiri , G. Gangopadhyay

The role of near neutron-drip-line nuclei in the rapid neutron-capture process ($r$-process) is studied with the classical $r$-process model. Simulations under different astrophysical conditions ($T$, $n_n$) show that $r$-process paths…

核理论 · 物理学 2026-03-25 T. Yu , Y. Y. Guo , X. F. Jiang , X. H. Wu
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