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RUI: Experimental Studies of N=Z Nuclei Near 72Kr

RUI: Experimental Studies of N=Z Nuclei Near 72Kr
RUI:72Kr 附近 N=Z 原子核的实验研究
批准号:
0244895
负责人:
Susan Fischer
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-07-01 至 2009-06-30

项目摘要

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中文摘要
翻译
72Kr附近中子和质子数量相等的原子核为核理论提供了有趣而重要的测试,因为它们可以提供中子-质子(np)对相互作用的信息,并测试我们对核形状演变的理解。最近,提出了np配对的两种可能的结果:核子对断裂的旋转频率延迟,并与核心的角动量对齐,以及奇数-奇数N=Z核的明显低密度。这项工作的主要重点是收集、分析和解释奇奇核74Rb和88Y的低自旋态数据,这些数据很少或一无所知。实验将在阿贡国家实验室(ANL)使用伽马球阵列、中子探测器阵列和阿贡碎片质量分析仪(FMA)进行。这项工作的第二个重点是对72Kr核的研究,包括使用伽马球阵列耦合到FMA的低自旋实验。本实验的目的是观察和表征低激发能量和角动量的状态,包括多年来一直难以捉摸的扁圆带的预期延续。这项工作将在两名本科生研究助理的支持下完成,他们将有机会参与实验的设置,以及数据的收集和分析。
英文摘要
Nuclei with equal numbers of neutrons and protons near 72Kr provideinteresting and important tests of nuclear theory, as they can supply information onthe interaction of neutron-proton (np) pairs, and test our understanding of the evolutionof nuclear shape. Recently, two possible consequences of np pairing have been offered: adelay in the rotational frequency at which nucleon pairs break and align with theangular momentum of the core, and the apparent low level density of odd-odd N=Z nuclei.The primary focus of this work is the collection, analysis and interpretation of data onlow-spin states in the odd-odd nuclei 74Rb and 88Y, of which little or nothing is known. Theexperiments will be carried out at Argonne National Laboratory (ANL) using theGammasphere array, an array of neutron detectors, and the Argonne Fragment Mass Analyzer(FMA). A secondary focus of this work is on studies of the nucleus 72Kr,including a low-spin experiment using the Gammasphere array coupled to the FMA. The goal ofthis experiment is to observe and characterize the states at low excitationenergy and angular momentum, including the expected continuation of an oblate band thathas remained elusive through the years. This work will be done with the support oftwo undergraduate research assistants who will have the opportunity to participate in thesetup of experiments, and the collection and analysis of the data.
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