dc.contributor.author |
Rufai, O.R. |
|
dc.contributor.author |
Khazanov, G.V. |
|
dc.contributor.author |
Singh, S.V. |
|
dc.contributor.author |
Lakhina, G.S. |
|
dc.date.accessioned |
2022-08-04T06:23:43Z |
|
dc.date.available |
2022-08-04T06:23:43Z |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
Results in Physics, v. 35, https://doi.org/10.1016/j.rinp.2022.105343 |
en_US |
dc.identifier.uri |
http://library.iigm.res.in:8080/xmlui/handle/123456798/295 |
|
dc.description.abstract |
Large-amplitude electrostatic solitary waves (ESWs) associated with asymmetric magnetic reconnection at the Earth’s magnetopause are studied in a four-component plasma composed of a mixture of the magnetosheath and magnetosphere plasma of a cold, warm and hot electron populations, and background ions. The species are
modeled as adiabatic fluids except for the hot electrons which have a kinetic vortex-like velocity distribution. The hybrid model uses the Sagdeev pseudopotential technique to study the arbitrary amplitude ion- and electron-acoustic solitons and double layers. The numerical computations reveal that for the parameters corresponding to magnetosphere side of the ion diffusion region, only slow electron-acoustic solitons and double layer can exist. On the magnetosheath side of the ion diffusion region, only the electron-acoustic/beam solitons can exist. The electric field amplitude of the electrostatic solitary waves (ESWs) predicted by our model are consistent with the Magnetospheric Multiscale (MMS) observations. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Electrostatic solitary waves |
en_US |
dc.subject |
Large-amplitude electric field |
en_US |
dc.subject |
Electron acoustic waves |
en_US |
dc.subject |
Vortex-like velocity distribution |
en_US |
dc.subject |
Sagdeev pseudopotential technique |
en_US |
dc.subject |
MMS observations |
en_US |
dc.title |
Large-amplitude electrostatic fluctuations at the earth’s magnetopause with a vortex-like distribution of hot electrons |
en_US |
dc.type |
Article |
en_US |
dcterms.source |
https://doi.org/10.1016/j.rinp.2022.105343 |
|