MMS Fast Plasma Instrument

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FPI summary plot in SPEDAS

SPEDAS provides command line and GUI access to the MMS FPI data.


Prior to using these data, please read the FPI Release Notes:

https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/ (FPI Release Notes)


FPI Moments

For more complete examples, see the FPI crib sheets located in the /mms/examples/ folder.

Examples

Electron Moments Data

To load and plot the MMS1 FPI electron moments data on March 7, 2016:

MMS> mms_load_fpi, datatype='des-moms', trange=['2016-03-07', '2016-03-08'], probe=1

MMS> tplot, 'mms1_des_numberdensity_fast'

MMS> tplot, ['mms1_des_energyspectr_omni_fast', 'mms1_des_pitchangdist_avg']


Ion Moments Data

To load and plot the ion density, along with the omni-directional spectra on March 7, 2016:

MMS> mms_load_fpi, datatype='dis-moms', trange=['2016-03-07', '2016-03-08'], probe=1

MMS> tplot, ['mms1_dis_numberdensity_fast', 'mms1_dis_energyspectr_omni_fast']


FPI Distributions

SPEDAS can also be used to load and generate spectra from the FPI distribution functions.

Examples

Electron Distribution Data

Generate and plot the electron energy spectra and PAD from the FPI distribution functions:

MMS> mms_part_getspec, instrument='fpi', probe='1', species='e', data_rate='brst', level='l2', outputs=['energy', 'pa'], trange=['2015-10-16/13:02:30', '2015-10-16/13:07:30']

MMS> tdegap, '*_des_dist_brst_*', /overwrite ; be sure not to interpolate through data gaps

MMS> tplot, ['mms1_des_dist_brst_energy', 'mms1_des_dist_brst_pa']


Ion Distribution Data

Generate and plot the ion energy spectra and PAD:

MMS> mms_part_getspec, instrument='fpi', probe='1', species='i', data_rate='brst', level='l2', outputs=['energy', 'pa'], trange=['2015-10-16/13:02:30', '2015-10-16/13:07:30']

MMS> tdegap, '*_dis_dist_brst_*', /overwrite ; be sure not to interpolate through data gaps

MMS> tplot, ['mms1_dis_dist_brst_energy', 'mms1_dis_dist_brst_pa']


FPI 2D Slices

Examples

Basic 2D Slices

Load the FPI ion distribution data:

MMS> mms_load_fpi, data_rate='brst', datatype='dis-dist', probe=1, trange=['2015-10-16/13:06', '2015-10-16/13:07']


Reformat the data for ploting using spd_slice2d:

MMS> dist = mms_get_dist('mms1_dis_dist_brst', trange=['2015-10-16/13:06', '2015-10-16/13:07'])

MMS> slice = spd_slice2d(dist, time='2015-10-16/13:06') ;3D interpolation


Now plot the slice:

MMS> spd_slice2d_plot, slice


Visualizing 3D Distribution Functions

SPEDAS can also be used for visualizing MMS 3D distribution functions from FPI using the ISEE3D tool, developed by the Institute for Space-Earth Environmental Research (ISEE), Nagoya University, Japan.


Load data into tplot

MMS> mms_load_fpi, probe=1, trange=['2015-10-20/05:56:30', '2015-10-20/05:56:34'], data_rate='brst', datatype='dis-dist'


Load the data into standard structures

MMS> dist = mms_get_fpi_dist('mms1_dis_dist_brst' , trange=['2015-10-20/05:56:30', '2015-10-20/05:56:34'])

MMS> data = spd_dist_to_hash(dist) ;convert structures to isee_3d data model


Load the magnetic field (cyan vector) and velocity (yellow vector) support data

MMS> mms_load_fgm, probe=1, trange=['2015-10-20/05:55:30', '2015-10-20/05:57:34'], level='l2'

MMS> mms_load_fpi, data_rate='brst', datatype='dis-moms', probe=1, trange=['2015-10-20/05:56:30', '2015-10-20/05:56:34']

MMS> join_vec, 'mms1_dis_bulk' + ['x','y','z'] +'_dbcs_brst', 'mms1_dis_bulk' ;combine separate velocity components


Once the GUI is opened, select PSD from Units menu

MMS> isee_3d, data=data, trange=['2015-10-20/05:56:30', '2015-10-20/05:56:34'], bfield='mms1_fgm_b_gse_srvy_l2_bvec', velocity='mms1_dis_bulk'