Neon and Argon Multi-Nozzle Gas Puff Z-Pinch Studies on COBRA
International Conference on Plasma Science (ICOPS)(2015)
Cornell Univ | Naval Res Lab | Weizmann Inst Sci
Abstract
Summary form only given. In the past, we have produced stable z-pinch implosions with an outer Ne shell imploding on an inner Ar (Ne-on-Ar) gas puff load. Using a similar mass density profile to the Ne-on-Ar experiments, we observed that Ar-on-Ne implosions were not stable. In this paper, we present the investigations of the Ne-on-Ar and Ar-on-Ne implosion dynamics with various mass density profiles. The experiments are conducted on the 1-MA, 200-ns COBRA generator. A triple-nozzle is used to produce z-pinch loads with concentric outer and inner annular gas puffs and a center gas puff. Z-pinch loads such as Ne-on-Ar and Ar-on-Ne with or without a center gas jet will be tested. In the experiments, we will use Planar Laser Induced Fluorescence (PLIF) to determine the initial gas puff mass density profile, and a three-frame Laser Shearing Interferometer (LSI) for imploding plasma density profiles. Two four-frame gated XUV cameras capture the implosion plasma structure. A multi-channel, filtered pinhole x-ray camera images the pinch plasma. The Ar and Ne x-ray spectra will be recorded by a spherical crystal x-ray spectrometer. Two spatially resolved UV and visible light spectrometers are used to measure the emission line profiles. The measurements will be compared with the predictions from a 2D multi-material radiation MHD model.
MoreTranslated text
Key words
argon multinozzle gas puff Z-pinch,neon multinozzle gas puff Z-pinch,Z-pinch implosions,Ne shell,implosion dynamics,mass density profiles,COBRA generator,annular gas puffs,planar laser induced fluorescence,laser shearing interferometer,imploding plasma density profiles,four-frame gated XUV cameras,multichannel filtered x-ray camera images,pinch plasma,Ne x-ray spectra,Ar x-ray spectra,spherical crystal x-ray spectrometer,spatially-resolved UV light spectrometer,spatially-resolved visible light spectrometer,emission line profiles,2D multimaterial radiation MHD model,Ne,Ar
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