Chrome Extension
WeChat Mini Program
Use on ChatGLM

Influence of the Magnetic Field on the Formation of Protostellar Disks

Open Astronomy(2022)SCI 4区

Chelyabinsk State Univ | Russian Acad Sci INASAN

Cited 1|Views4
Abstract
Abstract We numerically model the collapse of magnetic rotating protostellar clouds with mass of 10 M ⊙ {M}_{\odot } . The simulations are carried out with the help of 2D MHD code Enlil. The structure of the cloud at the isothermal stage of the collapse is investigated for the cases of weak, moderate, and strong initial magnetic field. Simulations reveal the universal hierarchical structure of collapsing protostellar clouds, consisting of the flattened envelope with the qausi-magnetostatc disk inside and the first core in its center. The size of the primary disk increases with the initial magnetic energy of the cloud. The magnetic braking efficiently transports the angular momentum from the primary disk into the envelope in the case, when the initial magnetic energy of the cloud is more than 20% of its gravitational energy. The intensity of the outflows launched from the region near the boundary of the first core increases with initial magnetic energy. The “dead” zone with small ionization fraction, x < 1 0 − 11 x\lt 1{0}^{-11} , forms inside the first hydrostatic core and at the base of the outflow. Ohmic dissipation and ambipolar diffusion determine conditions for further formation of the protostellar disk in this region.
More
Translated text
Key words
magnetic fields,magnetic-gas-dynamics,numerical simulation,star formation,interstellar medium
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
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

PDM Relativistic Quantum Oscillator in Einstein-Maxwell-Lambda Space-Time

INTERNATIONAL JOURNAL OF GEOMETRIC METHODS IN MODERN PHYSICS 2025

被引用4

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】:本文通过数值模拟研究了磁场所影响的恒星形成盘的形成过程,发现磁场强度对盘的大小、磁场传输角动量的效率和流出流的强度有显著影响。

方法】:使用2D MHD代码Enlil对质量为10 M⊙的磁旋转原恒星云进行数值模拟。

实验】:模拟了不同初始磁场强度(弱、中、强)下原恒星云的塌缩过程,并分析了云结构,发现磁场强度超过云的引力能量20%时,磁场能有效传输角动量,增大了主盘的大小,并增强了流出流的强度。实验使用的数据集为模拟生成的云结构参数和磁场数据。