Depolarization and spin transfer in anti-p p -g anti-Lambda Lambda with a polarized target

mag（2004）

Cited 23|Views8

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】：本文研究了在反质子-质子对撞中，极化靶上的退偏效应和自旋转移现象，揭示了反Lambda超子对的产生过程中的新特性。

【方法】：作者通过分析反质子束与质子靶的碰撞数据，采用极化靶技术，研究了退偏效应和自旋转移的机制。

【实验】：实验在STAR探测器上进行，使用的是反质子-质子对撞数据，通过分析结果，发现退偏效应和自旋转移与反Lambda超子对的产生密切相关。