1D-1V Vlasov-Poisson Simulations of Mutual Impedance Experiments in the presence of small-scale and large-scale plasma inhomogeneities - PART 1

<p>=====================================================================================================<br> Author&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;: &nbsp;&nbsp; &nbsp;L. Bucciantini<br> Date &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;05/07/2023<br> Laboratory&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;CNRS-LPC2E, Orl&eacute;ans (France)<br> =====================================================================================================</p> <p>Dear reader, we thank you for your interest in our dataset. In this document, we describe what you will<br> find in it.</p> <p>In case you need help with using the dataset, or if you are interested in mutual impedance experiments,<br> do not hesitate to contact our team in Orl&eacute;ans (pierre.henri@cnrs-orleans.fr, pierre.henri@oca.eu)</p> <p>=====================================================================================================<br> Topic:<br> This dataset contains the outputs of numerical simulations performed to assess<br> the impact of plasma inhomogeneities on the diagnostic performance<br> of mutual impedance experiments.</p> <p><br> Numerical model:<br> The outputs are obtained from a numerical model based on the solution of the 1D-1V Vlasov-Poisson<br> system of equations. The scheme used to solve the model is the one developed<br> by Mangeney et al. (2002),&nbsp; A Numerical Scheme for the Integration of the Vlasov-Maxwell System of Equations. Journal of Computational Physics, (doi: https://doi.org/10.1006/jcph.2002.7071).<br> The 1D-1V Vlasov-Poisson version of this model is described in Henri, et al. (2010), Vlasov-Poisson<br> simulations of electrostatic parametric instability for localized Langmuir wave packets in the solar wind,<br> Journal of Geophysical Research (Space Physics), 115, 6106 (2010)<br> -----------------------------------------------------------------------------------------------------<br> What is inside the dataset:</p> <p>The dataset is composed of 7 different mutual impedance measurements, each corresponding to one<br> directory (see below). The measurements (i.e. directory) correspond to small-scale plasma inhomogeneities at different<br> positions with respect to the mutual impedance antennas, or to a large-scale plasma inhomogeneity.</p> <p>Each directory contains a number of folders. Each folder corresponds to the emission of a signal at<br> different frequency.<br> -----------------------------------------------------------------------------------------------------<br> List of directories:</p> <p>(Note : each directory corresponds to one mutual impedance measurement)</p> <p>L&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;These outputs correspond to one mutual impedance measurement in<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;small antenna emission amplitude, which corresponds to a linear<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;plasma response to the emission.</p> <p>s_xx &nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;Each of these outputs corresponds to one mutual impedance measurement in correspondance of<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;a small-scale plasma inhomogeneity at xx Debye lengths of distance from the emitting antenna<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;</p> <p>-----------------------------------------------------------------------------------------------------<br> List of folders inside the directories:</p> <p>Folders begin with the name &quot;000&quot; and have increasing index. Inside the same directory, each folder<br> represents a different simulation used to build the same mutual impedance measurement.</p> <p>------------------------------------------------------------------------------------------------------<br> List of files inside the folders:</p> <p>density_e.npz&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;electron density inside the box, in function of time (tempo)</p> <p>density_p.npz&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;ion density inside the box, in function of time (tempo)</p> <p>E.npz&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;electric field in the box, in function of time (tempo)</p> <p>qrho.npz&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;electric potential in the box, in function of time (tempo)</p> <p>qrho_imposed.npz&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;electric charge imposed at the emitting antennas, in function of time (tempo)</p> <p>tempo.npz&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;time-vector for density, electric field, electric potential and charge vectors</p> <p>TEST_Luca.dat&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;parameters describing the characteristics of the simulated plasma box</p> <p><br> [<br> Note : the previous files can be opened as follows</p> <p>import numpy as np</p> <p>vector_file_name = np.load(&#39;file_name.npz&#39;) # Use these for the .npz files<br> characteristics_of_the_box = np.genfromtxt(&#39;TEST_Luca.dat&#39;,skip_header=1)</p> <p>]</p> <p><br> -------------------------------------------------------------------------------------------------------<br> Characteristics of the simulated plasma box (TEST_Luca.dat)</p> <p>nx&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;amount of spatial grid points</p> <p>xl&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;physical size of the spatial box, expressed in Debye length</p> <p>tt_w&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;time resolution for ion and electron density, electric field, electric potential and charge</p> <p>rap_m &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;ion-to-electron mass ratio</p> <p>R_p&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;ion-to-electron temperature ratio</p> <p>dt&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;time step used to evolve in time the numerical simulation</p> <p>emission&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;emission frequency</p> <p>power&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;:&nbsp;&nbsp; &nbsp;amplitude of the electric charge imposed at the emitting antennas</p> <p><br> (Note : all parameters not listed here but present inside the TEST_Luca.dat file correspond to additional<br> &nbsp;&nbsp; &nbsp;functionalities of the model. For the use of this dataset, they can be discarded.)</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>