WeChat Mini Program
Old Version Features

New Level Scheme and Shell Model Description of the Near-Spherical Nucleus 94Nb

Y. Q. Li,C. B. LiD. P. Sun,L. H. Zhu

PHYSICAL REVIEW C(2024)

China Inst Atom Energy

Cited 0|Views8
Abstract
High-spin states of Nb-94 have been studied by in-beam gamma-ray spectroscopic methods using the Se-82(O-18, p5n)Nb-94 reaction at beam energies of 82 and 88 MeV. Particle-gamma-gamma coincidence measurements using CsI and high-purity germanium arrays are employed to gain selectivity to Nb isotopic products. The level scheme of Nb-94 has been extended up to excitation energy approximate to 11 MeV and spin 24h with the addition of 20 new gamma transitions, and the placement of some of the previously known transitions has been revised. The energy spectrum bears signature of core breaking, viz., presence of high energy (E-gamma approximate to 2 MeV) gamma rays originating due to excitation of nucleons across the shell gaps. The proposed level scheme is compared with large basis spherical shell model calculations using the GWBXG and SNET interactions.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined