Disintegration and reformation of intermediate-shock segments in three-dimensional MHD bow shock flows

2001 ◽  
Vol 106 (A12) ◽  
pp. 30023-30037 ◽  
Author(s):  
H. De Sterck ◽  
S. Poedts
Keyword(s):  
Three Dimensional ◽  
Bow Shock ◽  
Intermediate Shock

scholarly journals Plasma environment of magnetized asteroids: a 3-D hybrid simulation study

2006 ◽  
Vol 24 (1) ◽  
pp. 407-414 ◽  
Author(s):  
S. Simon ◽  
T. Bagdonat ◽  
U. Motschmann ◽  
K.-H. Glassmeier
Keyword(s):  
Solar Wind ◽  
Three Dimensional ◽  
Hybrid Simulation ◽  
Interaction Region ◽  
Bow Shock ◽  
The Other ◽  
Simulation Code ◽  
Kinetic Effects ◽  
Intrinsic Magnetic Moment ◽  
The One

Abstract. The interaction of a magnetized asteroid with the solar wind is studied by using a three-dimensional hybrid simulation code (fluid electrons, kinetic ions). When the obstacle's intrinsic magnetic moment is sufficiently strong, the interaction region develops signs of magnetospheric structures. On the one hand, an area from which the solar wind is excluded forms downstream of the obstacle. On the other hand, the interaction region is surrounded by a boundary layer which indicates the presence of a bow shock. By analyzing the trajectories of individual ions, it is demonstrated that kinetic effects have global consequences for the structure of the interaction region.

scholarly journals Large three-dimensional ellipsoid sphere-shaped structure of electrostatic solitary waves in the terrestrial bow shock under condition of Ωce/ωpe < < 1

2013 ◽  
Vol 40 (13) ◽  
pp. 3356-3361 ◽  
Author(s):  
S. Y. Li ◽  
S. F. Zhang ◽  
H. Cai ◽  
X. H. Deng ◽  
X. Q. Chen ◽  
...  
Keyword(s):  
Solitary Waves ◽  
Three Dimensional ◽  
Bow Shock

Determination of magnetopause and bow shock shape based on convolutional neural network modelling of MESSENGER data

2021 ◽  
Author(s):  
Alexander Lavrukhin ◽  
David Parunakian ◽  
Dmitry Nevsky ◽  
Sahib Julka ◽  
Michael Granitzer ◽  
...  
Keyword(s):  
Neural Network ◽  
Three Dimensional ◽  
Bow Shock ◽  
Network Modelling ◽  
Machine Learning Methods ◽  
Magnetometer Data ◽  
Spacecraft Mission ◽  
Planetary Magnetic Field ◽  
Orbital Mission

&lt;p&gt;&lt;span id=&quot;E87&quot;&gt;The magnetosphere of Mercury is relatively small and highly dynamic, mostly due to the weak planetary magnetic field. Varying solar wind conditions principally determine the location of both the &lt;/span&gt;&lt;span id=&quot;E89&quot;&gt;Hermean&lt;/span&gt;&lt;span id=&quot;E91&quot;&gt; bow shock and magnetopause. In 2011 &amp;#8211; 2015 MESSENGER spacecraft completed over 4000 orbits around Mercury, thus giving a data of more than 8000 crossings of bow shock and magnetopause of the planet, this makes it possible to study in detail the bow shock, the magnetopause and the &lt;/span&gt;&lt;span id=&quot;E93&quot;&gt;magnetosheath&lt;/span&gt;&lt;span id=&quot;E95&quot;&gt; structures.&lt;/span&gt;&lt;/p&gt; &lt;p&gt;In this work we determine crossings of the bow shock and the magnetopause of Mercury by applying machine learning methods to the MESSENGER magnetometer data. We attempt to identify the crossings during the whole duration of the orbital mission and model the average three-dimensional shapes of these boundaries. The results are compared with those previously obtained in other works.&lt;/p&gt; &lt;p&gt;&lt;span id=&quot;E101&quot;&gt;This work may be of interest for future Mercury research related to the &lt;/span&gt;&lt;span id=&quot;E103&quot;&gt;BepiColombo&lt;/span&gt;&lt;span id=&quot;E105&quot;&gt; spacecraft mission, which will enter the orbit around the planet in December 2025.&lt;/span&gt;&lt;/p&gt;

On the Bow-Shock dynamics in response to a Quasi-Perpendicular interaction with different Solar Wind conditions

2021 ◽  
Author(s):  
Emanuele Cazzola ◽  
Dominique Fontaine ◽  
Philippe Savoini
Keyword(s):  
Solar Wind ◽  
Computer Simulations ◽  
Cross Sections ◽  
Ad Hoc ◽  
Three Dimensional ◽  
Bow Shock ◽  
Hybrid Code ◽  
Mach Numbers ◽  
The Imf

&lt;p&gt;This work will be giving new insights into the global Quasi-Perpendicular interaction effects of the Solar Wind with a realistic three-dimensional terrestrial-like curved Bow Shock (BS) by means of hybrid computer simulations.&lt;br&gt;The Bow-Shock profoundly changes its behavior for different incoming Solar Wind conditions. For Alfv&amp;#233;nic Mach numbers greater than a specific threshold, the Bow-Shock shows an intense rippling phenomenon propagating along its surface, as well as the formation of a set of waves in the near-Earth flanks.&lt;br&gt;A similar rippling has been observed from different independent in-situ satellite crossings, as well as studied with ad-hoc computer simulations configured with 2D-planar shocks, conclusively confirming the highly kinetic nature of this phenomenon. Yet, the possible effects of a global three-dimensional curved interaction are still poorly described.&lt;br&gt;As such, we have performed a series of 3D simulations at different Alfv&amp;#233;nic Mach numbers, different plasma beta - ratio between the thermal to the magnetic pressures - and different incoming Interplanetary Magnetic Field (IMF) configurations with the hybrid code LatHyS, which was already successfully used for similar past analyses.&lt;br&gt;Particularly, we have found that the ripples follow a pattern not directly driven by the IMF direction as initially expected, but rather a Nose-to-Flanks propagation with the rippling onset region &amp;#160;being significantly displaced from the nose position. Additionally, this phenomenon seems to be mainly confined to the plane on where the IMF direction lies, with the perpendicular cross-sections showing only a slight oscillation.&lt;br&gt;Finally, we have observes a significant ions acceleration in the local perpendicular directions along the flanks modulations, which is most likely related to the local IMF-BS normal fluctuations occurring in the ripples boundary.&lt;/p&gt;

Automatic detection of magnetopause and bow shock crossing signatures in MESSENGER magnetometer data using Convolutional Neural Networks.

2021 ◽  
Author(s):  
Alexander Lavrukhin ◽  
David Parunakian ◽  
Dmitry Nevskiy ◽  
Sahib Julka ◽  
Michael Granitzer ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Three Dimensional ◽  
Activity Cycle ◽  
Solar Activity Cycle ◽  
Bow Shock ◽  
Cycle Phase ◽  
Small Subset ◽  
Magnetometer Data ◽  
Spacecraft Mission ◽  
Planetary Magnetic Field

&lt;p&gt;During its 2011-2015 lifetime the MESSENGER spacecraft completed more than 4000 orbits around Mercury, producing vast amounts of information regarding the planetary magnetic field and magnetospheric processes. During each orbit the spacecraft left and re-entered the Hermean magnetosphere, giving us information about more than 8000 crossings of the bow shock and the magnetopause of Mercury's magnetosphere. The information obtained from the magnetometer data offers the possibility to study in depth the structures of the bow shock and magnetopause current sheets and their shapes. In this work, we take a step in this direction by automatically detecting the crossings of bow-shock and magnetopause. To this end, we propose a five-class problem and train a Convolutional Neural Network based classifier using the magnetometer data. Our key experimental results indicate that an average precision and recall of at least 87% and 96% can be achieved on the bow hock and magnetopause crossings by using only a small subset of the data. We also model the average three-dimensional shape of these boundaries depending on the external interplanetary magnetic field . Furthermore, we attempt to clarify the dependence of the two boundary locations on the heliocentric distance of Mercury and on the solar activity cycle phase. This work may be of particular interest for future Mercury research related to the BepiColombo spacecraft mission, which will enter Mercury&amp;#8217;s orbit around December 2025.&lt;/p&gt;

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