Synchrotron Tune Shift Due to the Fundamental Mode of the RF Cavities
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT（2021）
Key Laboratory of Particle Acceleration Physics and Technology
Abstract
A quadratic increase of the synchrotron tune with beam current has been observed during the operation of the Beijing Electron Positron Collider Upgrade (BEPCII). This observation is unexpected considering the conventional theory of the impedance-driven collective effects that the tune shift varies linearly with the beam current. To explain this phenomenon, a simple physical model based on coupled bunch instability theory is developed. The coherent synchrotron frequency is solved directly with a clean form without taking the perturbative approach which is valid for ΔΩ<<ωs. With the model developed, the source of the quadratic increase of the synchrotron tune is found and identified as being due to the interaction with the fundamental mode of the RF cavities. On the other hand, our analysis also offers a new beam-based method to characterize the R/Q and the detuning rate of the fundamental mode of the RF cavity, which can be complementary to laboratory bench measurements.
MoreTranslated text
Key words
Synchrotron tune shift,Fundamental mode,RF cavity
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
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