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# Directory Listing of Routines

# projects/mms/examples/webinars

- MMS_ANALYSIS_WEBINAR_18SEP19
- MMS_ANALYSIS_WEBINAR_30SEP20
- MMS_FLIPBOOK_WEBINAR_JUL18
- MMS_FLIPBOOK_WEBINAR_MAY19

# Routine Descriptions

## MMS_ANALYSIS_WEBINAR_18SEP19

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     ----------------------------------------------------------------------------
     ----------------------------------------------------------------------------

     Analyzing MMS Data with SPEDAS
     Eric Grimes - egrimes@igpp.ucla.edu

     Wednesday, September 18, 2019 at 10AM Pacific / 1PM Eastern

     Tentative agenda:
       1) Ephemeris/Coordinates Data
       2) FIELDS Data
       3) EPD (FEEPS/EIS) Data
       4) Plasma (FPI/HPCA) Data

     Feel free to unmute and ask questions! You can also email me after: egrimes@igpp.ucla.edu

     Note: for detailed science questions about the data products, please see the Release Notes for
           the instrument you're interested in, then contact the instrument team

     ----------------------------------------------------------------------------
     ----------------------------------------------------------------------------
    $LastChangedBy: egrimes $
    $LastChangedDate: 2019-09-19 08:56:55 -0700 (Thu, 19 Sep 2019) $
    $LastChangedRevision: 27785 $
    $URL: svn+ssh://thmsvn@ambrosia.ssl.berkeley.edu/repos/spdsoft/trunk/projects/mms/examples/webinars/mms_analysis_webinar_18sep19.pro $

(See projects/mms/examples/webinars/mms_analysis_webinar_18sep19.pro)

## MMS_ANALYSIS_WEBINAR_30SEP20

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     ============================================================================
     ============================================================================

     Analyzing MMS Data with SPEDAS
     Eric Grimes - egrimes@igpp.ucla.edu

     Wednesday, September 30, 2020 at 10AM Pacific / 1PM Eastern

     Tentative agenda:
       1) Ephemeris/Coordinates Data
       2) FIELDS Data
       3) EPD (FEEPS/EIS) Data
       4) Plasma (FPI/HPCA) Data

     Feel free to unmute and ask questions! You can also email me after: egrimes@igpp.ucla.edu

     Notes:
       For detailed science questions about the data products, please see the Release Notes for
       the instrument you're interested in, then contact the instrument team

       We're be recording this and posting it to Youtube! This script will also be available in
       the SPEDAS distribution at:

           projects/mms/examples/webinars/mms_analysis_webinar_30sep20.pro

     the load routines all follow the syntax: mms_load_xxx, where xxx is the instrument, e.g.,
           mms_load_fgm - Fluxgate Magnetometer
           mms_load_scm - Search-coil Magnetometer
           mms_load_fsm - L3 FGM+SCM data
           mms_load_edp - Electric-field Double Probe
           mms_load_aspoc - Active Spacecraft Potential Control
           mms_load_edi - Electron Drift Instrument
           mms_load_feeps - Fly’s Eye Energetic Particle Sensor
           mms_load_eis - Energetic Ion Spectrometer
           mms_load_fpi - Fast Plasma Investigation
           mms_load_hpca - Hot Plasma Composition Analyzer
           mms_load_mec - Ephemeris and Coordinates
           mms_load_state - Ephemeris and Coordinates (ASCII)
           mms_load_dsp - Digital Signal Processor
           mms_load_tqf - Tetrahedron Quality Factor
           mms_load_brst_segments, mms_load_fast_segments - Data Availability

     - Some of the standard keywords:
           trange: time range of interest.
           probe: spacecraft # (or array of S/C numbers - [1, 2, 3, 4])
           data_rate: srvy, fast or brst
           datatype: depends on the instrument
           level: L2 (also available: l1b, l1a, sitl, ql - non-L2 requires MMS team user/password)
           time_clip: clip the data down to the time range specified in trange (e.g., /time_clip)
           spdf: load data from SPDF instead of the LASP SDC (e.g., /spdf)
           tplotnames: names of the tplot variables loaded (e.g., tplotnames=tnames)
           available: returns a list of files available at the SDC for the requested parameters (e.g., /available)
           tt2000: flag for preserving TT2000 timestamps found in CDF files (e.g., /tt2000)

        there are more keywords; please see the header of the load routine you're interested in for a full list
           e.g., ".edit mms_load_fgm" in the console

        To see more examples of keyword usage, check the crib sheets found at:
             projects/mms/examples/basic
             projects/mms/examples/advanced
             projects/mms/examples/webinars (note: some of the these might be out of date!)

     ============================================================================
     ============================================================================
    $LastChangedBy: egrimes $
    $LastChangedDate: 2020-09-30 12:00:18 -0700 (Wed, 30 Sep 2020) $
    $LastChangedRevision: 29197 $
    $URL: svn+ssh://thmsvn@ambrosia.ssl.berkeley.edu/repos/spdsoft/trunk/projects/mms/examples/webinars/mms_analysis_webinar_30sep20.pro $

(See projects/mms/examples/webinars/mms_analysis_webinar_30sep20.pro)

## MMS_FLIPBOOK_WEBINAR_JUL18

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     MMS flipbookify - adding 2D distribution slices to arbitrary tplot windows
     July 18, 2018

     Please be sure to mute your phone during the webinar!

     questions? feel free to unmute and ask during the presentation or email egrimes@igpp.ucla.edu after!

     this file can be found on the web at:
         http://spedas.org/mms/mms_flipbook_webinar_jul18.pro

     -----> Phone to use: 510-643-3817

     Tentative agenda:
     1) Basic examples for FPI and HPCA
     2) Change interpolation method
     3) Change rotations of slices
     4) Limit the time range to a subset of the tplot window
     5) Subtract FPI distribution error, bulk velocity from slices prior to adding them to the window
     6) Export to high quality postscript files instead of PNGs
     7) Export to video file
     8) Include 1-D cuts through the 2-D distributions

     $LastChangedBy: egrimes $
     $LastChangedDate: 2018-07-18 10:58:32 -0700 (Wed, 18 Jul 2018) $
     $LastChangedRevision: 25487 $
     $URL: svn+ssh://thmsvn@ambrosia.ssl.berkeley.edu/repos/spdsoft/trunk/projects/mms/examples/webinars/mms_flipbook_webinar_jul18.pro $

(See projects/mms/examples/webinars/mms_flipbook_webinar_jul18.pro)

## MMS_FLIPBOOK_WEBINAR_MAY19

[Previous Routine] [List of Routines]

     MMS flipbookify - adding 2D distribution slices to arbitrary tplot windows
     May 15, 2019

     Tentative agenda:
     1) Basic examples for FPI and HPCA
     2) Change interpolation method
     3) Change rotations of slices
     4) Limit the time range to a subset of the tplot window
     5) Subtract FPI distribution error, bulk velocity from slices prior to adding them to the window
     6) Export to high quality postscript files instead of PNGs
     7) Export to video file
     8) Include 1-D cuts through the 2-D distributions

     $LastChangedBy: egrimes $
     $LastChangedDate: 2019-05-15 08:46:22 -0700 (Wed, 15 May 2019) $
     $LastChangedRevision: 27233 $
     $URL: svn+ssh://thmsvn@ambrosia.ssl.berkeley.edu/repos/spdsoft/trunk/projects/mms/examples/webinars/mms_flipbook_webinar_may19.pro $

(See projects/mms/examples/webinars/mms_flipbook_webinar_may19.pro)