Skip to content

Latest commit

 

History

History
253 lines (201 loc) · 6.23 KB

README.md

File metadata and controls

253 lines (201 loc) · 6.23 KB
Raw

Arase (ERG)

The routines in this module can be used to load data from the Arase mission, as well as several other ground-based datasets made available by the ERG Science Center: https://ergsc.isee.nagoya-u.jp

Please note that the routines in this module are still highly EXPERIMENTAL.

Arase (ERG) Satellite Data Load Routines

  • Attitude data (ATT)
  • High Energy Electron Experiments (HEP)
  • Low Energy Particle Experiments (electrons) (LEPE)
  • Low Energy Particle Experiments (ions) (LEPI)
  • Medium Energy Particle Experiments (electrons) (MEPE)
  • Medium Energy Particle Experiments (ions) (MEPI)
    • MEPI NML ("normal mode")
    • MEPI TOF ("time of flight mode")
  • Magnetic Field Experiment (MGF)
  • Orbit data (ORB)
  • Plasma Wave Experiment (PWE)
    • Electric Field Detector (EFD)
    • High Frequency Analyzer (HFA)
    • Onboard Frequency Analyzer (OFA)
    • Waveform Capture (WFC)
  • Extremely High-energy Electron Experiment (XEP)

Arase (ERG) Coordinate Transforms

Arase (ERG) Particle Analysis Tools

Ground Instruments and Data Products

  • Cameras
    • OMTI ASI
  • Geomagnetic Instruments
    • ISEE Fluxgate Magnetometers
    • ISEE Induction Magnetometers
    • MAGDAS 1sec Data
    • MM210 Data
    • STEL Fluxgate Magnetometers (alternate name for ISEE Fluxgate Magnetometers)
    • STEL Induction Magnetometers (alternate name for ISEE Induction Magnetometers)
  • SuperDARN (radar)
  • ISEE BRIO (Riometer)
  • ISEE VLF

Arase (ERG) Load Routine Examples

Attitude (ATT)

import pyspedas
from pytplot import tplot

att_vars = pyspedas.erg.att(trange=['2017-04-01', '2017-04-02'])
tplot(['erg_att_sprate', 'erg_att_spphase', 'erg_att_izras', 'erg_att_izdec', 'erg_att_gxras', 'erg_att_gxdec', 'erg_att_gzras', 'erg_att_gzdec'])

High Energy Electrons (HEP)

import pyspedas
from pytplot import tplot

hep_vars = pyspedas.erg.hep(trange=['2017-03-27', '2017-03-28'])
tplot('erg_hep_l2_FEDO_L')

Low Energy Electrons (LEPE)

import pyspedas
from pytplot import tplot

lepe_vars = pyspedas.erg.lepe(trange=['2017-03-27', '2017-03-28'])
tplot('erg_lepe_l2_omniflux_FEDO')

Low Energy Ions (LEPI)

import pyspedas
from pytplot import tplot

lepi_vars = pyspedas.erg.lepi(trange=['2017-03-27', '2017-03-28'])
tplot('erg_lepi_l2_omniflux_FODO')

Medium Energy Electrons (MEPE)

import pyspedas
from pytplot import tplot

mepe_vars = pyspedas.erg.mepe(trange=['2017-03-27', '2017-03-28'])
tplot('erg_mepe_l2_omniflux_FEDO')

Medium Energy Ions, Normal Mode (MEPI-NML)

import pyspedas
from pytplot import tplot

mepi_nml_vars = pyspedas.erg.mepi_nml(trange=['2017-03-27', '2017-03-28'])
tplot('erg_mepi_l2_omniflux_FPDO')

Medium Energy Ions, Time of Flight Mode (MEPI-TOF)

import pyspedas
from pytplot import tplot

mepi_tof_vars = pyspedas.erg.mepi_tof(trange=['2017-03-27', '2017-03-28'])

Magnetic Field (MGF)

import pyspedas
from pytplot import tplot

mgf_vars = pyspedas.erg.mgf(trange=['2017-03-27', '2017-03-28'])
tplot('erg_mgf_l2_mag_8sec_sm')

Orbit (ORB)

import pyspedas
from pytplot import tplot

orb_vars = pyspedas.erg.orb(trange=['2017-03-27', '2017-03-28'])
tplot('erg_orb_l2_pos_gse')

Plasma Wave Experiment - Electric Field Detector (PWE-EFD)

import pyspedas
from pytplot import tplot

pwe_efd_vars = pyspedas.erg.pwe_efd(trange=['2017-03-27', '2017-03-28'])
tplot('erg_pwe_efd_l2_E_spin_Eu_dsi')

Plasma Wave Experiment - High Frequency Analyzer (PWE-HFA)

import pyspedas
from pytplot import tplot

pwe_hfa_vars = pyspedas.erg.pwe_hfa(trange=['2017-03-27', '2017-03-28'])
tplot('erg_pwe_hfa_l2_low_spectra_eu')

Plasma Wave Experiment - Onboard Frequency Analyzer (PWE-OFA)

import pyspedas
from pytplot import tplot

pwe_ofa_vars = pyspedas.erg.pwe_ofa(trange=['2017-03-27', '2017-03-28'])
tplot('erg_pwe_ofa_l2_spec_E_spectra_132')

Plasma Wave Experiment - Waveform Capture (PWE-WFC)

import pyspedas
from pytplot import tplot

pwe_wfc_vars = pyspedas.erg.pwe_wfc(trange=['2017-04-01/12:00:00', '2017-04-01/13:00:00'])
tplot('erg_pwe_wfc_l2_e_65khz_Ex_waveform')

Extremely High-energy Electrons (XEP)

import pyspedas
from pytplot import tplot

xep_vars = pyspedas.erg.xep(trange=['2017-03-27', '2017-03-28'])
tplot('erg_xep_l2_FEDO_SSD')

ERG-SC Ground Data Load Routine Examples

OMTI ASI

import pyspedas
omti_vars=pyspedas.erg.camera_omti_asi(site='ath', trange=['2020-01-20','2020-01-21'])
print(omti_vars)

ISEE Fluxgate Magnetometers

import pyspedas
from pytplot import tplot
fluxgate_vars=pyspedas.erg.gmag_isee_fluxgate(trange=['2020-08-01','2020-08-02'], site='all')
tplot('isee_fluxgate_mag_ktb_1min_hdz')

ISEE Induction Magnetometers

import pyspedas
from pytplot import tplot
ind_vars=pyspedas.erg.gmag_isee_induction(trange=['2020-08-01','2020-08-02'], site='all')
tplot('isee_induction_db_dt_msr')

MAGDAS 1sec

import pyspedas
from pytplot import tplot
magdas_vars=pyspedas.erg.gmag_magdas_1sec(trange=["2010-01-01", "2010-01-02"],site='ama')
tplot('magdas_mag_ama_1sec_hdz')

MM210

import pyspedas
from pytplot import tplot
mm210_vars=pyspedas.erg.gmag_mm210(trange=["2005-01-01", "2005-01-02"],site='adl',datatype='1min')
tplot('mm210_mag_adl_1min_hdz')

STEL Fluxgate Magnetometers

import pyspedas
from pytplot import tplot
fluxgate_vars=pyspedas.erg.gmag_stel_fluxgate(trange=['2020-08-01','2020-08-02'], site='all')
tplot('isee_fluxgate_mag_ktb_1min_hdz')

STEL Induction Magnetometers

import pyspedas
from pytplot import tplot
ind_vars=pyspedas.erg.gmag_stel_induction(trange=['2020-08-01','2020-08-02'], site='all')
tplot('isee_induction_db_dt_msr')

SuperDARN (radar)

import pyspedas
sd_vars=pyspedas.erg.sd_fit(trange=['2018-10-14/00:00:00','2018-10-14/02:00:00'],site='ade')
print(sd_vars)

ISEE BRIO (riometer)

import pyspedas
brio_vars=pyspedas.erg.isee_brio(trange=['2020-08-01', '2020-08-02'],site='ath')
print(brio_vars)

ISEE VLF

import pyspedas
vlf_vars=pyspedas.erg.isee_vlf(trange=['2017-03-30/12:00:00', '2017-03-30/15:00:00'],site='ath')
print(vlf_vars)