WeChat Mini Program
Old Version Features

FIRST TESTS OF THE TOP-UP GATING AT SYNCHROTRON SOLEIL

openalex

Cited 23|Views17
Abstract
Since 2006, Synchrotron SOLEIL is producing photons. The beamlines became operational for the users in 2008. Until 2012, thanks to the excellent performances of the injection system of the storage ring, the perturbation on the position of the stored beam during Top-up injection was small enough to be accepted by the users. For some specific experiments requesting higher beam stability, few beamlines expressed their wish to be able to freeze the data acquisition during the injection. To fulfill this need, the diagnostics group of Synchrotron SOLEIL designed the “TimEX3” board which was integrated into the timing system in order to allow the gating of the Top-up injection. This design was released as open hardware. Towards this aim, we decided to design it with the open source and free EDA software “KiCad”, and to make it available under the CERN’s Open Hardware Repository.
More
Translated text
Key words
Synchrotron Radiation
求助PDF
上传PDF
Bibtex
收藏
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