2018
DOI: 10.1029/2018ja025667
|View full text |Cite
|
Sign up to set email alerts
|

Simulation and Quasi‐linear Theory of Magnetospheric Bernstein Mode Instability

Abstract: Multiple‐harmonic electron cyclotron emissions, often known in the literature as the (n + 1/2)fce emissions, are a common occurrence in the magnetosphere. These emissions are often interpreted in terms of the Bernstein mode instability driven by the electron loss cone velocity distribution function. Alternatively, they can be interpreted as quasi‐thermal emission of electrostatic fluctuations in magnetized plasmas. The present paper carries out a one‐dimensional relativistic electromagnetic particle‐in‐cell si… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
12
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5

Relationship

3
2

Authors

Journals

citations
Cited by 6 publications
(13 citation statements)
references
References 28 publications
1
12
0
Order By: Relevance
“…In our previous paper (Lee et al, ) we modeled the loss cone‐like energetic electron distribution by a DGH model (Dory et al, ), but for the present purpose, we simply adopt a thermal ring velocity distribution function for the hot electrons, especially in the PIC simulation, to be described later, alignleftalign-1fhringalign-2=nhn01π3/2α3Aringexp(vv0)2+vfalse‖2α2,align-1Aringalign-2=eu2+π12u1+erf(u),u=v0α, where v ⊥ and v ‖ represent velocity component perpendicular and parallel to the ambient magnetic field vector, α represents the velocity spread, v 0 denotes the degree of perpendicular velocity population inversion, and erffalse(xfalse)=false(2false/π12false)0xet2normaldt is the error function. The DGH model and the thermal ring model share many properties, so we expect similar results from either distribution.…”
Section: Reduced Quasilinear Theory For Loss Cone‐driven Whistler Insmentioning
confidence: 99%
See 1 more Smart Citation
“…In our previous paper (Lee et al, ) we modeled the loss cone‐like energetic electron distribution by a DGH model (Dory et al, ), but for the present purpose, we simply adopt a thermal ring velocity distribution function for the hot electrons, especially in the PIC simulation, to be described later, alignleftalign-1fhringalign-2=nhn01π3/2α3Aringexp(vv0)2+vfalse‖2α2,align-1Aringalign-2=eu2+π12u1+erf(u),u=v0α, where v ⊥ and v ‖ represent velocity component perpendicular and parallel to the ambient magnetic field vector, α represents the velocity spread, v 0 denotes the degree of perpendicular velocity population inversion, and erffalse(xfalse)=false(2false/π12false)0xet2normaldt is the error function. The DGH model and the thermal ring model share many properties, so we expect similar results from either distribution.…”
Section: Reduced Quasilinear Theory For Loss Cone‐driven Whistler Insmentioning
confidence: 99%
“…In our previous paper (Lee et al, 2018a) we modeled the loss cone-like energetic electron distribution by a DGH model (Dory et al, 1965), but for the present purpose, we simply adopt a thermal ring velocity distribution function for the hot electrons, especially in the PIC simulation, to be described later,…”
Section: Modeling Loss Cone Electronsmentioning
confidence: 99%
“…Note that perpendicular and parallel wave numbers, defined with respect to the direction of the ambient magnetic field, are given by k ⊥ = k sin θ and k ∥ = k cos θ , respectively. The (quasi) linear growth rate for the whistler mode waves is given for, a general hot electron distribution function f , as (Lee, Yoon, et al., 2018; Melrose, 1986) rightγleft=leftπ2false(normalΩecosθωfalse)2normalΩecosθdvv2n=[(ω2sin2θ0.25em+0.25emnΩe(Ωecosθ0.25em0.25emω)false(normalΩecosθωfalse)Ωecosθ)Jn(b)b+Jn(b)]2rightleftleft×δfalse(ωnnormalΩekvcosθfalse)(nΩevv+k0.25emcosθv)f,b=kvsinθΩe, $\begin{array}{rll}\hfill \gamma & =\hfill & \frac{\pi }{2}\frac{{({{\Omega}}_{e}\mathrm{cos}\theta \hspace*{.5em}-\hspace*{.5em}\omega )}^{2}}{{{\Omega}}_{e}\mathrm{cos}\theta }\int d\mathbf{v}\,{v}_{\perp }^{2}\sum\limits _{n=-\infty }^{\infty }{[(\frac{{\omega }^{2}{\mathrm{sin}}^{2}\theta \hspace*{.5em}+\hspace*{.5em}n{{\Omega}}_{e}({{\Omega}}_{e}\mathrm{cos}\theta \hspace*{.5em}-\hspace*{.5em}\omega )}{({{\Omega}}_{e}\mathrm{cos}\theta -\omega ){{\Omega}}_{e}\mathrm{cos}\theta })\frac{{J}_{n}(b)}{b}+{J}_{n}^{\prime }(b)]}^{2}\hfill \\ \hfill & \hfill & \times \hspace*{.5em}\delta (\omega -n{{\Omega}}_{e}-k{v}_{{\Vert} }\mathrm{cos}\theta )(\frac{n{{\Omega}}_{e}}{{v}_{\perp }}\frac{\partial }{\partial {v}_{\perp }}+k\hspace*{.5em}\mathrm{cos}\theta \...…”
Section: Quasilinear Theory Of Whistler Instability Driven By An Electron Loss‐cone Distributionmentioning
confidence: 99%
“…In Equation 8T and K are the coefficients that define the unit electric field vector, or equivalently, the polarization vector (Melrose, 1986). For the whistler mode these are given by (Lee, Yoon, et al, 2018)…”
Section: Quasilinear Theory Of Whistler Instability Driven By An Elec...mentioning
confidence: 99%
See 1 more Smart Citation