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88038威尼斯(中国)官方网站學院“博約學術論壇”-亓沖-第437期

來源:鄭法偉 作者:亓沖 副教授 (瑞典√皇家理工學院) 發布時間:2024-03-22

邀請人: 鄭法偉

報告人: 亓沖 副教授 (瑞典皇」家理工學院)

時間: 2024-03-22

地點: 良鄉校區,88038威尼斯(中国)官方网站實驗樓229會議室

主講人簡介№:

-88038威尼斯(中国)官方网站學院博約學術論壇系列報告

437

題目:Uncertainty in neutron drip line at Sn and its impact on r-process abundances

報告人: 副教授 (瑞對手典皇家理工學院他又怎么會不知道其特性)

間:2024322日(周)上午8:30-10:00

點:良鄉校區,88038威尼斯(中国)官方网站實驗樓229會議室

摘要:

Nuclear physical inputs are critical for predicting the abundance of r-process elements. Extensive sensitivity studies have recently been started to be performed to gauge the impact of the individual properties of nuclei on the r-process. In this talk, I would like to study in particular the impact of the large uncertainties in the theoretical predictions of the masses of neutron-rich Sn isotopes and the location of the neutron drip line on the abundance of r-process abundances. The uncertainties in the predicted r-process abundances are obtained through large - scale network calculations by simultaneously varying the masses and reaction rates of Sn within the predicted mass uncertainties. To extend that study to the full nuclear chart, we are developing an extended REACLIB Stockholm Open Library for Nuclear Astrophysical Reaction Rate Variations (REACLIB-SOLNAR) where the Q value and temperature dependence of the neutron capture rates and the uncertainty in predictions are evaluated based on a Neural network algorithm.

簡歷:

沖,瑞典皇家理工學也正因為這樣院聘副教授,博士Ψ生導師。2009年博士畢業〖於北京大學,2009-2011年在瑞典皇家理工學院從∑事博士後工作,2018年成為長聘副◣教授。研究興趣是理論核88038威尼斯(中国)官方网站、α-衰變、超∞流體理論、多◆體關聯以及交叉的量子多體理論。目前已NaturePRL等國際知名期刊公※開發表100余篇論文,被引用次數超過3000次。

聯系方式fwzheng@bit.edu.cn

邀請人:鄭法偉

址:/

承辦單位:88038威尼斯(中国)官方网站學院、先進光電量子結構設計與測量教育部重點實驗★室

*TitleUncertainty in neutron drip line at Sn and its impact on r-process abundances

*ReporterChong Qi (Associate Professor, Royal Institute of Technology, Sweden)

*TimeMarch 22, 2024 (Friday), 8:30-10:00 AM

*PlaceRoom 229, Physics Laboratory Building, Beijing Institute of Technology Liangxiang South Campus

*Contact Person: Fawei Zheng, fwzheng@bit.edu.cn

*Abstract:

Nuclear physical inputs are critical for predicting the abundance of r-process elements. Extensive sensitivity studies have recently been started to be performed to gauge the impact of the individual properties of nuclei on the r-process. In this talk, I would like to study in particular the impact of the large uncertainties in the theoretical predictions of the masses of neutron-rich Sn isotopes and the location of the neutron drip line on the abundance of r-process abundances. The uncertainties in the predicted r-process abundances are obtained through large - scale network calculations by simultaneously varying the masses and reaction rates of Sn within the predicted mass uncertainties. To extend that study to the full nuclear chart, we are developing an extended REACLIB Stockholm Open Library for Nuclear Astrophysical Reaction Rate Variations (REACLIB-SOLNAR) where the Q value and temperature dependence of the neutron capture rates and the uncertainty in predictions are evaluated based on a Neural network algorithm.

*ProfileChong Qi is a tenured Associate Professor and Ph.D. supervisor at the Royal Institute of Technology in Sweden. He received his Ph.D. from Peking University in 2009, worked as a postdoctoral researcher at the Royal Institute of Technology in Sweden from 2009 to 2011, and became a tenured Associate Professor in 2018. His research interests include theoretical nuclear physics, α-decay, superfluid theory, many-body correlations, and Interdisciplinary research fields of quantum many-body theory. He has published over 100 papers in famous journals such as Nature and PRL, with more than 3000 citations.

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