Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2023
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
UCrea
Bachelor thesis . 2023
License: CC BY NC ND
Data sources: UCrea
versions View all 2 versions
addClaim

Estadística de eventos extremos en plasmas electromagnéticos

Statistics of extreme events in electromagnetic plasmas
Authors: Blanco Ortiz, Josu;

Estadística de eventos extremos en plasmas electromagnéticos

Abstract

Este trabajo presenta un análisis exhaustivo del comportamiento de las avalanchas en varias descargas de plasma no confinado de la Máquina Lineal de Plasma de Santander (SLPM). Dichas avalanchas son observadas a partir de los datos preexistentes indirectamente medidos del flujo de partículas utilizando sondas de Langmuir. Las series temporales del flujo de partículas a distintas posiciones radiales han permitido calcular los tiempos de espera entre avalanchas utilizando un nuevo método basado en considerar el flujo como una variable con magnitud y dirección. Este enfoque permite establecer un criterio de umbral concreto a partir del cual clasificar los eventos como avalancha de forma más precisa. Se estudia la correlación existente entre los mencionados tiempos de espera, analizando la función densidad de probabilidad pdf de los mismos en las distintas posiciones radiales. Se concluye que el radio más externo presenta correlación de tipo ley de potencias. Esta correlación es característica del transporte anómalo. Se analiza también el tiempo que la señal transcurre en el lado negativo o positivo, correspondiente a transporte de materia hacia el interior o exterior, respectivamente. Se denomina a este el tiempo de excursión y se analiza la dependencia entre ambas direcciones de transporte, obteniéndose una relación que parece indicar la existencia de un fenómeno tipo preshock similar a los terremotos. Finalmente, se realiza un análisis del espectro de potencia de las series temporales de flujo. Se observa un pico y su armónico, correspondientes a la rotación de la columna de plasma. La frecuencia angular de rotación exhibe variación frente a la posición radial, existiendo por tanto fenómenos asociados a cizalla en el plasma. Se observa correlación de tipo ley de potencias a tiempos largos en el espectro, compatible también con fenómenos de transporte anómalo.

This work presents a comprehensive analysis of the behaviour of avalanches in several unconfined plasma discharges from the Santander Linear Plasma Machine (SLPM). These avalanches are observed from pre-existing indirectly measured particle flux data using Langmuir probes. The time series of the particle flux at different radial positions has allowed the calculation of the quiet times between avalanches using a new method that considers flux as a variable with magnitude and direction. This approach allows for establishing a precise threshold criterion from which to classify events as avalanches more accurately. The correlation between these quiet times is studied, analyzing the probability density function pdf of the quiet times at different radial positions. It is concluded that the outermost radius presents a power-law type correlation. This correlation is characteristic of anomalous transport. The time that the signal spends on the negative or positive side, corresponding to matter transport towards the interior or exterior, respectively, is also analyzed. This time is referred to as the excursion time, and the dependence between both transport directions is analyzed, obtaining a relationship that seems to indicate the existence of a preshock phenomenon similar to earthquakes. Finally, an analysis of the power spectrum of the particle flux time series is conducted. A peak and its harmonic are observed, corresponding to the rotation of the plasma column. The angular rotation frequency exhibits variation with respect to the radial position, thus there are phenomena associated with shearing in the plasma. A power-law type correlation is observed at long times in the spectrum, which is also compatible with anomalous transport phenomena.

Grado en Física

Country
Spain
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 101
    download downloads 58
  • 101
    views
    58
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
101
58
Green