Determining energy pathways for the energisation of radiation belt electrons by very low frequency waves
Lead Research Organisation:
Northumbria University
Abstract
We will investigate how the solar wind controls conditions inside Earth's magnetic bubble, known as the magnetosphere. In this region, the material is so tenuous that collisions between particles are very rare. Instead, the electrons and ions in near-Earth space undergo interactions with electromagnetic waves that change their energy and direction and can lead to significant electron acceleration to relativistic speeds. We will specifically investigate how the electromagnetic waves are energised by variability within the magnetosphere, driven by the variable conditions of the solar wind.
Organisations
Publications
Abraham J
(2022)
Thermal Energy Budget of Electrons in the Inner Heliosphere: Parker Solar Probe Observations
in The Astrophysical Journal
Allanson O
(2020)
Particle-in-Cell Experiments Examine Electron Diffusion by Whistler-Mode Waves: 2. Quasi-Linear and Nonlinear Dynamics
in Journal of Geophysical Research: Space Physics
Allanson O
(2021)
Electron Diffusion and Advection During Nonlinear Interactions With Whistler-Mode Waves
in Journal of Geophysical Research: Space Physics
Allanson O
(2022)
Weak Turbulence and Quasilinear Diffusion for Relativistic Wave-Particle Interactions Via a Markov Approach
in Frontiers in Astronomy and Space Sciences
Bakrania M
(2020)
Statistics of solar wind electron breakpoint energies using machine learning techniques
in Astronomy & Astrophysics
Bentley S
(2021)
The magnetospheric interactions of predicted ULF wave power
Bentley S
(2020)
Random Forest Model of Ultralow-Frequency Magnetospheric Wave Power
in Earth and Space Science
| Title | Data files for 'Temporal variability of quasilinear pitch-angle diffusion' |
| Description | Data in the three folders was used for "Temporal variability of quasilinear pitch-angle diffusion" Clare E. J. Watt" (2022),Hayley J. Allison,Sarah N Bentley,Rhys L Thompson,I Jonathan Rae,Oliver Allanson, Nigel P. Meredith,Johnathan P J Ross,Sarah A Glauert,Richard B. Horne,Shuai Zhang,Kyle R Murphy, Dovile Rasinskaite,Shannon Killey, Front. Astron. Space Sci. - Space Physics, DOI: 10.3389/fspas.2022.1004634 The data files contain the results and input for the ensemble numerical experiments described in the manuscript. There are 3 sets of experiments for 3 different L* locations. Each set of experiments has 6 different ?t (timescale of variability). Each experiment has 60 scenarios. In each folder, there are 60 files with phase space density as a function of pitch-angle (91 values) and time (121 values). There are also 60 files listing the series of index numbers for the random selection of diffusion coefficients used in each individual scenario. The index number refers to the lists at of diffusion coefficients archived at "PADIE diffusion coefficients for plasmaspheric hiss" (Watt et al., 2019) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://figshare.northumbria.ac.uk/articles/dataset/Data_files_for_Temporal_variability_of_quasiline... |
| Title | Data files for 'Temporal variability of quasilinear pitch-angle diffusion' |
| Description | Data in the three folders was used for "Temporal variability of quasilinear pitch-angle diffusion" Clare E. J. Watt" (2022),Hayley J. Allison,Sarah N Bentley,Rhys L Thompson,I Jonathan Rae,Oliver Allanson, Nigel P. Meredith,Johnathan P J Ross,Sarah A Glauert,Richard B. Horne,Shuai Zhang,Kyle R Murphy, Dovile Rasinskaite,Shannon Killey, Front. Astron. Space Sci. - Space Physics, DOI: 10.3389/fspas.2022.1004634 The data files contain the results and input for the ensemble numerical experiments described in the manuscript. There are 3 sets of experiments for 3 different L* locations. Each set of experiments has 6 different ?t (timescale of variability). Each experiment has 60 scenarios. In each folder, there are 60 files with phase space density as a function of pitch-angle (91 values) and time (121 values). There are also 60 files listing the series of index numbers for the random selection of diffusion coefficients used in each individual scenario. The index number refers to the lists at of diffusion coefficients archived at "PADIE diffusion coefficients for plasmaspheric hiss" (Watt et al., 2019) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://figshare.northumbria.ac.uk/articles/dataset/Data_files_for_Temporal_variability_of_quasiline... |