Investigations into the Flavor Dependence of Partonic Transverse Momentum
Journal of High Energy Physics（2013）SCI 2区SCI 1区
Nikhef | Dipartimento di Fisica | INFN Sezione di Pavia | IKERBASQUE
Abstract
Recent experimental data on semi-inclusive deep-inelastic scattering from the HERMES collaboration allow us to discuss for the first time the flavor dependence of unpolarized transverse-momentum dependent distribution and fragmentation functions. We find convincing indications that favored fragmentation functions into pions have smaller average transverse momentum than unfavored functions and fragmentation functions into kaons. We find weaker indications of flavor dependence in the distribution functions.
MoreTranslated text
Key words
QCD Phenomenology,Deep Inelastic Scattering (Phenomenology)
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
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
2009
被引用41 | 浏览
2008
被引用347 | 浏览
2007
被引用585 | 浏览
2007
被引用670 | 浏览
1984
被引用75 | 浏览
2010
被引用89 | 浏览
2004
被引用219 | 浏览
2010
被引用874 | 浏览
2011
被引用35 | 浏览
2012
被引用116 | 浏览
2013
被引用76 | 浏览
2013
被引用146 | 浏览
2012
被引用61 | 浏览
2013
被引用76 | 浏览
2013
被引用64 | 浏览
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
GPU is busy, summary generation fails
Rerequest