首页> 外文会议>Los Alamos Series Pulsation Meetings >Approaches to Mass-loss Modeling, and the Bowen Code
【24h】

Approaches to Mass-loss Modeling, and the Bowen Code

机译:对大规模损失建模的方法,以及Bowen码

获取原文

摘要

The Bowen code, developed in the 1980s and 1990s, was optimized for studying the mass loss mechanism as a system. It allowed inclusion of pulsation with shock development, non-LTE coupling of the gas to the radiation field and departures from radiative equilibrium, grain formation and acceleration by radiation, and radiative acceleration on molecules. Most of these were found to play important roles in the development of a massive wind. All were treated by simple parameterized relations that could be adjusted to test the effects using information from more detailed calculations. The advantage of the Bowen code is that it may easily be adapted to study any process suspected of playing a role in driving and accelerating the wind from these stars. The disadvantages are that it cannot be used as a basis for spectrum synthesis without violating conservation of energy. It has also been suggested that (a) the mean opacity used is too low, giving an atmosphere that is too massive; and (b) that the grey approximation will not take into account essential physics of the wind mechanism. We are in the process of working up the code to include more of the physics suspected of playing a role, while preserving its essential nature as a code for the study of the mass loss rather than the details of one or more processes that are involved in driving the wind. We here present a summary of how the code works and outline our plans for improvements.
机译:该博文的代码,在20世纪80年代和90年代开发的,被用于研究失重机制作为一个系统进行了优化。它允许与气体的冲击开发,非LTE联接到所述辐射场,并通过辐射从辐射平衡,颗粒形成和加速度偏离,并且在分子辐射加速度包含脉动的。这些大多发现大规模风的发展中发挥重要的作用。所有被认为可能进行调整,以测试使用从更详细的计算信息的影响简单的参数关系处理。博文代码的优点是,它可以很容易地适应学习怀疑打的拉动作用,并从这些恒星加快风任何进程。其缺点是,它不能被用作频谱合成的基础而不违反能量守恒。也有人建议,(a)所用的平均透明度太低,给人一种气氛,是过于庞大;及(b),灰度近似不会采取进风机构的帐户基本物理学。我们在工作了代码,以包括更多的怀疑扮演一个角色的物理,同时保留它的本质作为质量损失,而不是参与一个或多个进程的细节研究的一个代码的过程驱动风。我们在座的代码是如何工作的总结和概括我们的改进计划。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号