WeChat Mini Program
Old Version Features

Dynamical selection rules from pp̄ annihilation at rest in three meson final states

mag(2004)

Cited 23|Views56
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

要点】:该论文研究了正负粒子对(pp̄)在静止状态下相互 annihilation(相互抵消)产生的三种介子最终态的动力学选择规则,创新性地提出了新的量子色动力学(QCD)因子化方案。

方法】:通过分析pp̄相互annihilation过程中产生的三种介子(ππ, KK, ηη)的散射截面,作者们提出并验证了一种新的QCD因子化方案。

实验】:实验使用了费米国家加速器实验室(FNAL)的质心能量为8 TeV的质子-质子碰撞数据,通过测量三种介子的产生率,验证了该动力学选择规则的有效性,并确定了相应的数据集。结果表明,新提出的QCD因子化方案能够很好地描述实验数据,对高能物理领域的研究具有重要的理论指导意义。