2019
DOI: 10.5506/aphyspolb.50.1523
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$\beta $-decay Properties of Waiting-point Nuclei for Astrophysical Applications

Abstract: We report microscopic calculation of key β-decay properties for some of the crucial waiting point species having neutron closed magic shells 50 and 82. Our calculation bear astrophysical significance vis-ávis speeding of the r-process. The β-decay properties include half-lives, energy rates of β-delayed neutrons and their emission probabilities, both under terrestrial and stellar conditions. We perform a pn-QRPA calculation with a separable multi-shell interaction and include both allowed and unique first-forb… Show more

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Cited by 6 publications
(4 citation statements)
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“…It is worth noting that no quenching factor was utilized in the present calculation. In the recent past, we have reported β-decay half-lives, GT strength distributions, phase space and stellar weak rates of 13 closed-shell waiting point nuclei (N = 50, 82) employing the deformed pn-QRPA (N) model [30].…”
Section: Resultsmentioning
confidence: 99%
“…It is worth noting that no quenching factor was utilized in the present calculation. In the recent past, we have reported β-decay half-lives, GT strength distributions, phase space and stellar weak rates of 13 closed-shell waiting point nuclei (N = 50, 82) employing the deformed pn-QRPA (N) model [30].…”
Section: Resultsmentioning
confidence: 99%
“…The observed peaks in the abundance pattern of r-process elements arise due to the deceleration of matter flow at these WPs. Thus, matter assembles at the WP, and nuclei undergo a series of BDs before the r-process recommences [2,[10][11][12][13][14][15][16]. The high temperature (> 1 GK) and high neutron density (> 10 20 g/cm 3 ) conditions associated with the neutron-star to neutron-star collisions [17] and core-collapse supernovae (CCSNe) [11] establish a site for creating the r-process elements.…”
Section: Introductionmentioning
confidence: 99%
“…The quasi-particle random-phase approximation (QRPA) model is one of microscopic models whose computed results, in general, exhibit a good agreement with experimental data. In many earlier studies, QRPA has been successfully implemented, within different approaches, to calculate the nuclear properties of many neutron-rich nuclei, e.g., fully self-consistent QRPA based on Hartree-Fock-Bogoliubov (HFB) theory [23], QRPA method with the density functional (DF) theory [24], fully self-consistent QRPA, based on the spherical relativistic HFB framework [25], the extended QRPA with np pairing considered in the HFB calculations and with the Brükner G-matrix obtained from the CD-Bonn nucleon-nucleon force used for the residual and the pairing interactions [26], deformed QRPA formalism based works [17,[27][28][29][30][31][32][33][34][35], and proton-neutron (p-n)-QRPA model within the deformed Nilsson basis using a separable interaction [36][37][38][39].…”
Section: Introductionmentioning
confidence: 99%