Attempt to Synthesize the Proton-Unbound 182,183bi Isotopes
PHYSICAL REVIEW C(2024)
Chinese Acad Sci | China Inst Atom Energy | Peking Univ | Univ York | Comenius Univ | Univ Chinese Acad Sci | Shandong Univ
Abstract
The near-symmetric complete fusion reaction 78Kr + 107Ag -> 185Bi & lowast; was studied at the gas-filled recoil separator SHANS with an attempt to synthesize the extremely neutron-deficient proton-unbound 182,183Bi isotopes. No decay events which could be attributed to them were observed. The two- and three-particle evaporation residues 180,179Hg (alpha p, alpha pn) and 183,182Pb (pn, p2n) were identified. Their production cross sections have been measured at two bombarding energies. Based on the yields of 182,183Pb in the present work and the systematics of the ratios between the cross sections of p(x-1)n and xn evaporation channels for the most neutron-deficient odd-Z nuclei above lead, the upper limits for the half-lives of 182,183Bi were estimated to be less than 0.3 mu s.
MoreTranslated text
求助PDF
上传PDF
View via Publisher
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
Related Papers
Prediction for Proton-Emitting Candidate Nuclei above the Z=82 Shell Closure
PHYSICAL REVIEW C 2024
被引用0
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