東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Aeronomy." ]

切換: 標籤 | MARC模式 | ISBD

Farley-Buneman Instabilities in the ...

Villalba, Enrique Luis Alfonso Rojas.

FindBook

Google Book

Amazon

博客來

Farley-Buneman Instabilities in the Auroral Region: Continuous Hybrid Simulations and Empirical Modeling.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Farley-Buneman Instabilities in the Auroral Region: Continuous Hybrid Simulations and Empirical Modeling./
作者:	Villalba, Enrique Luis Alfonso Rojas.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	110 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Contained By:	Dissertations Abstracts International81-12B.
標題:	Plasma physics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27740189
ISBN:	9798645486914

Farley-Buneman Instabilities in the Auroral Region: Continuous Hybrid Simulations and Empirical Modeling.
Villalba, Enrique Luis Alfonso Rojas.

Farley-Buneman Instabilities in the Auroral Region: Continuous Hybrid Simulations and Empirical Modeling. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 110 p.

Source: Dissertations Abstracts International, Volume: 81-12, Section: B.

Thesis (Ph.D.)--Cornell University, 2020.

This item must not be sold to any third party vendors.

The coupling between the magnetosphere and the high latitude ionosphere through energetic particles and electromagnetic fields results in the production of Hall currents that drive Farley-Buneman instabilities. Numerous studies have shown that these irregularities can modify the mean state of the ionosphere through wave heating, and therefore, change the local temperature, plasma density, composition, and conductivity.Linear, local fluid theory of Farley-Buneman instabilities, although limited, has produced some important, verified predictions. Nevertheless, linear theory falls short in explaining several features observed in the experimental data. Particle in cell (PIC) simulations have been so far the most successful approach for this purpose, and have been able to resolve most of the small scale nonlinear features of Farley--Buneman instabilities as seen by radars and rockets. Furthermore, a heuristic model consistent with PIC results was built to predict temperature enhancements seen with incoherent scatter radars and to interpret plasma state parameters from Doppler data obtained from coherent backscatter radars.However, recent satellite and radar measurements have challenged this heuristic model. Moreover, these discrepancies are related to non-local scale processes, which current state of the art PIC implementations cannot address because of the extreme computational cost. In order to address these discrepancies, information about the large scale spectral features of these instabilities as well as the local plasma state parameters have to be coupled by physical models. Given the computational limitations of PIC simulations, more scalable methods are needed. Furthermore, it is fundamental to find new ways to assess the proposed heuristic model. Finally, new approaches need to be explored beyond reductionist models, which are often constrained by computational limitations.In this work, we used a non-reductionist model to explain one of the most important non-linear features of Farley-Buneman instabilities, the evolution of the phase speeds of the different wave modes, by using the formalism of stochastic differential equations. Moreover, we used the electrostatic nature of the convection electric field to assess the physical consistency of the heuristic model mentioned above: the model will be satisfactory to the extent that the plasma flows derived from it are incompressible. Finally, we implemented a continuous hybrid simulation of Farley-Buneman instabilities. We showed that the proposed numerical algorithm is significantly more scalable than PIC implementations and that it can reproduce most of the physical behavior of these instabilities.

ISBN: 9798645486914Subjects--Topical Terms:

3175417
Plasma physics.
Subjects--Index Terms:

Inverse methods

Farley-Buneman Instabilities in the Auroral Region: Continuous Hybrid Simulations and Empirical Modeling.
LDR:03880nmm a2200373 4500 001 2273063
005 20201105110333.5
008 220629s2020 ||||||||||||||||| ||eng d
020 $a 9798645486914
035 $a (MiAaPQ)AAI27740189
035 $a AAI27740189
040 $a MiAaPQ $c MiAaPQ
100 1 $a Villalba, Enrique Luis Alfonso Rojas. $3 3550492
245 1 0 $a Farley-Buneman Instabilities in the Auroral Region: Continuous Hybrid Simulations and Empirical Modeling.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 110 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
500 $a Advisor: Hysell, David L.
502 $a Thesis (Ph.D.)--Cornell University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a The coupling between the magnetosphere and the high latitude ionosphere through energetic particles and electromagnetic fields results in the production of Hall currents that drive Farley-Buneman instabilities. Numerous studies have shown that these irregularities can modify the mean state of the ionosphere through wave heating, and therefore, change the local temperature, plasma density, composition, and conductivity.Linear, local fluid theory of Farley-Buneman instabilities, although limited, has produced some important, verified predictions. Nevertheless, linear theory falls short in explaining several features observed in the experimental data. Particle in cell (PIC) simulations have been so far the most successful approach for this purpose, and have been able to resolve most of the small scale nonlinear features of Farley--Buneman instabilities as seen by radars and rockets. Furthermore, a heuristic model consistent with PIC results was built to predict temperature enhancements seen with incoherent scatter radars and to interpret plasma state parameters from Doppler data obtained from coherent backscatter radars.However, recent satellite and radar measurements have challenged this heuristic model. Moreover, these discrepancies are related to non-local scale processes, which current state of the art PIC implementations cannot address because of the extreme computational cost. In order to address these discrepancies, information about the large scale spectral features of these instabilities as well as the local plasma state parameters have to be coupled by physical models. Given the computational limitations of PIC simulations, more scalable methods are needed. Furthermore, it is fundamental to find new ways to assess the proposed heuristic model. Finally, new approaches need to be explored beyond reductionist models, which are often constrained by computational limitations.In this work, we used a non-reductionist model to explain one of the most important non-linear features of Farley-Buneman instabilities, the evolution of the phase speeds of the different wave modes, by using the formalism of stochastic differential equations. Moreover, we used the electrostatic nature of the convection electric field to assess the physical consistency of the heuristic model mentioned above: the model will be satisfactory to the extent that the plasma flows derived from it are incompressible. Finally, we implemented a continuous hybrid simulation of Farley-Buneman instabilities. We showed that the proposed numerical algorithm is significantly more scalable than PIC implementations and that it can reproduce most of the physical behavior of these instabilities.
590 $a School code: 0058.
650 4 $a Plasma physics. $3 3175417
650 4 $a Aeronomy. $3 2102064
650 4 $a Applied mathematics. $3 2122814
653 $a Inverse methods
653 $a Plasma instabilities
653 $a Plasma simulations
653 $a Space physics
653 $a Stochastic
690 $a 0759
690 $a 0367
690 $a 0364
710 2 $a Cornell University. $b Atmospheric Science. $3 3437549
773 0 $t Dissertations Abstracts International $g 81-12B.
790 $a 0058
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27740189