Replication data for: Electron behaviour around the onset of magnetic reconnection (doi:10.18710/Z2XUSW)

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Replication data for: Electron behaviour around the onset of magnetic reconnection

doi:10.18710/Z2XUSW

DataverseNO

2022-09-15

1

Spinnangr, Susanne Flø, 2022, "Replication data for: Electron behaviour around the onset of magnetic reconnection", https://doi.org/10.18710/Z2XUSW, DataverseNO, V1

Replication data for: Electron behaviour around the onset of magnetic reconnection

doi:10.18710/Z2XUSW

Spinnangr, Susanne Flø (University of Bergen)

Spinnangr, Susanne Flø

Tenfjord, Paul

Hesse, Michael

University of Bergen

Fortran

DataverseNO

University of Bergen

Spinnangr, Susanne Flø

Spinnangr, Susanne Flø

2022-08-08

https://doi.org/10.18710/Z2XUSW

Physics, Magnetic reconnection, Onset, Particle behaviour, Electron

This data set contains 4 data files named fields-*.dat and 1 data file named parts-11600-p00000.dat, all containing binary simulation data, one ReadMe text file and one ReadData python script to read the binary data in the fields files. The binary data was created using Fortran 90. The fields-*.dat files contain electric and magnetic fields and average particle data in the simulation domain for relevant times in our analysis. The parts file contains the exact position and velocity of every particle assigned to the process indicated by the number after -p in the file name. The total particle number in the simulation is distributed on 16 processes. In the study this data set was created for, we investigate the onset of magnetic reconnection in a tail-like configuration with no initial perturbation.

Article abstract: We investigate the onset of magnetic reconnection, utilising a fully kinetic Particle-In-Cell (PIC) simulation. Characteristic features of the electron phase-space distributions at the time immediately before reconnection onset are identified. These include signatures of pressure non-gyrotropy in the electron velocity distributions, and lemon shaped distributions in the in-plane velocity directions. Further, we explain how these features form through investigation of the particle energisation by the out-of-plane electric field. Identification of these features in the distributions can aid in analysis of data where clear signatures of ongoing reconnection are not yet present.

Simulation data

Binary data

Submitted for review

Submitted for review

Label:

00_ReadMe.txt

text/plain

Label:

01_ReadData.py

text/x-python-script

Label:

fields-02000.dat

Text:

Binary data containing the magnetic and electric fields, as well as average plasma data like velocity, density, pressure and temperature of the plasma particles.

text/x-fixed-field

Label:

fields-09000.dat

Text:

Binary data containing the magnetic and electric fields, as well as average plasma data like velocity, density, pressure and temperature of the plasma particles.

text/x-fixed-field

Label:

fields-11600.dat

Text:

Binary data containing the magnetic and electric fields, as well as average plasma data like velocity, density, pressure and temperature of the plasma particles.

text/x-fixed-field

Label:

fields-13000.dat

Text:

Binary data containing the magnetic and electric fields, as well as average plasma data like velocity, density, pressure and temperature of the plasma particles.

text/x-fixed-field

Label:

parts-11600-p00000.dat

Text:

Binary data containing the position and velocity of the all the plasma particles assigned to the first process (total values is the sum of all processes on all nodes), used to create velocity distributions.

text/x-fixed-field