3D Direct Simulation Monte Carlo Modelling of the Inner Gas Coma of Comet 67P/Churyumov–Gerasimenko: A Parameter Study

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• 作者：Y. Liao ; C. C. Su ; R. Marschall ; J. S. Wu ; M. Rubin ; I. L. Lai…
• 关键词：Direct simulation Monte Carlo (DSMC) ; Comets ; Coma ; Comet 67P/Churyumov–Gerasimenko
• 刊名：Earth, Moon, and Planets
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：117
• 期：1
• 页码：41-64
• 全文大小：5,768 KB
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• 作者单位：Y. Liao (1)
  C. C. Su (2)
  R. Marschall (1)
  J. S. Wu (2)
  M. Rubin (1)
  I. L. Lai (3)
  W. H. Ip (3)
  H. U. Keller (4)
  J. Knollenberg (5)
  E. Kührt (5)
  Y. V. Skorov (4)
  N. Thomas (1)
  
  1. Physics Institute, University of Bern, Bern, Switzerland
  2. Department of Mechanical Engineering, National Chiao Tung University, Hsinchu City, Taiwan
  3. Institute of Space Science, National Central University, Taoyuan City, Taiwan
  4. Max Planck Institut für Sonnensystemforschung, Göttingen, Germany
  5. DLR, Institute of Planetary Research, Berlin, Germany
  
• 刊物类别：Physics and Astronomy
• 刊物主题：Physics
  Astronomy
  Planetology
  Extraterrestrial Physics and Space Sciences
  Astrophysics
  
• 出版者：Springer Netherlands
• ISSN：1573-0794

文摘

Direct Simulation Monte Carlo (DSMC) is a powerful numerical method to study rarefied gas flows such as cometary comae and has been used by several authors over the past decade to study cometary outflow. However, the investigation of the parameter space in simulations can be time consuming since 3D DSMC is computationally highly intensive. For the target of ESA’s Rosetta mission, comet 67P/Churyumov–Gerasimenko, we have identified to what extent modification of several parameters influence the 3D flow and gas temperature fields and have attempted to establish the reliability of inferences about the initial conditions from in situ and remote sensing measurements. A large number of DSMC runs have been completed with varying input parameters. In this work, we present the simulation results and conclude on the sensitivity of solutions to certain inputs. It is found that among cases of water outgassing, the surface production rate distribution is the most influential variable to the flow field.