MMS Fast Plasma Instrument

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/galaxy/display/mms/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_dbcs_fast'

MMS> tplot, ['mms1_des_energyspectr_omni_avg', 'mms1_des_pitchangdist_avg']

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  MMS1 FPI electron density on March 7, 2016

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  MMS1 FPI electron energy spectra and pitch angle distribution on March 7, 2016

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_dbcs_fast', 'mms1_dis_energyspectr_omni_avg']

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  MMS1 FPI ion density and energy spectra on March 7, 2016

FPI Distributions

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

Examples

Electron Distribution Data

To load the FPI electron data:

MMS> mms_load_fpi, probe=1, trange=['2015-10-16/13:02:30', '2015-10-16/13:07:30'], data_rate='brst', datatype='des-dist'

To generate the pitch angle distributions (PADs), we also need spacecraft position and magnetic field data covering the time range:

MMS> mms_load_state, probes=1, trange=['2015-10-16/13:01:30', '2015-10-16/13:08:30']

MMS> mms_load_fgm, probe=1, trange=['2015-10-16/13:01:30', '2015-10-16/13:08:30']

Generate and plot the electron energy spectra and PAD:

MMS> mms_part_products, 'mms1_des_dist_brst', trange=['2015-10-16/13:02:30', '2015-10-16/13:07:30'], mag_name='mms1_fgm_b_dmpa_srvy_l2_bvec', pos_name='mms1_defeph_pos', outputs=['energy','pa']

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']

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  MMS1 FPI electron spectra and PAD on October 16, 2015

Ion Distribution Data

To load the FPI ion data:

MMS> mms_load_fpi, probe=1, trange=['2015-10-16/13:02:30', '2015-10-16/13:07:30'], data_rate='brst', datatype='dis-dist'

To generate the pitch angle distributions (PADs), we also need spacecraft position and magnetic field data covering the time range:

MMS> mms_load_state, probes=1, trange=['2015-10-16/13:01:30', '2015-10-16/13:08:30']

MMS> mms_load_fgm, probe=1, trange=['2015-10-16/13:01:30', '2015-10-16/13:08:30']

Generate and plot the ion energy spectra and PAD:

MMS> mms_part_products, 'mms1_dis_dist_brst', trange=['2015-10-16/13:02:30', '2015-10-16/13:07:30'], mag_name='mms1_fgm_b_dmpa_srvy_l2_bvec', pos_name='mms1_defeph_pos', outputs=['energy','pa']

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']

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  MMS1 FPI ion spectra and PAD on October 16, 2015

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

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  MMS1 FPI ion 2D velocity distribution slice at 13:06UT on October 16, 2015

FPI 3D Slices

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'])

convert structures to isee_3d data model

MMS> data = spd_dist_to_hash(dist)

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']

combine separate velocity components

MMS> join_vec, 'mms1_dis_bulk' + ['x','y','z'] +'_dbcs_brst', 'mms1_dis_bulk'

Once GUI is open 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=velocity

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  MMS1 FPI ion 3D velocity distribution at 5:56:30UT on October 20, 2015