Parker Solar Probe (PSP)

The routines in this module can be used to load data from the Parker Solar Probe (PSP) mission.

Electromagnetic Fields Investigation (FIELDS)

pyspedas.psp.fields(trange=['2018-11-5', '2018-11-6'], datatype='mag_rtn', level='l2', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False, username=None, password=None, last_version=False)

This function loads Parker Solar Probe FIELDS data

Parameters:

trange (list of str) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]
datatype (str) –

Data type; Valid options include:
‘mag_RTN’ ‘mag_RTN_1min’ ‘mag_rtn_4_per_cycle’ (SPDF only) ‘mag_RTN_4_Sa_per_Cyc’ ‘mag_SC’ ‘mag_SC_1min’ ‘mag_sc_4_per_cycle’ (SPDF only) ‘mag_SC_4_Sa_per_Cyc’ ‘mag_VSO’ (limited dates) ‘rfs_burst’ (limited dates) ‘rfs_hfr’, ‘rfs_lfr’ ‘f2_100bps’ ‘dfb_dc_spec’ ‘dfb_ac_spec’ ‘dfb_dc_xspec’ ‘dfb_ac_xspec’ ‘merged_scam_wf’ ‘sqtn_rfs_V1V2’
suffix (str) – The tplot variable names will be given this suffix. By default, no suffix is added.
get_support_data (bool) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, this flag is False but FIELDS support data is always loaded for datatypes where filtering on quality flags is supported.
varformat (str) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.
varnames (list of str) – List of variable names to load (if not specified, all data variables are loaded)
downloadonly (bool) – Set this flag to download the CDF files, but not load them into tplot variables
notplot (bool) – Return the data in hash tables instead of creating tplot variables
no_update (bool) – If set, only load data from your local cache
time_clip (bool) – Time clip the variables to exactly the range specified in the trange keyword
username (str) – Username to use for authentication.

If passed, attempt to download data from the FIELDS Instrument Team server instead of the fully public server at SPDF. Provides access to unpublished, V02 files.

Implemented for dataypes:
‘mag_RTN_1min’ ‘mag_RTN_4_Sa_per_Cyc’ ‘mag_SC’ ‘mag_SC_1min’ ‘mag_SC_4_Sa_per_Cyc’ ‘sqtn_rfs_V1V2’
password (str) – Password to use for authentication
last_version (bool) – If True, only download the highest-numbered file version

Return type:

List of tplot variables created.

Example

import pyspedas
from pytplot import tplot
fields_vars = pyspedas.psp.fields(trange=['2018-11-5', '2018-11-5/06:00'], datatype='mag_rtn', level='l2', time_clip=True)
tplot('psp_fld_l2_mag_RTN')

Solar Probe Cup

pyspedas.psp.spc(trange=['2018-11-5', '2018-11-6'], datatype='l3i', level='l3', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False, username=None, password=None, last_version=False)

This function loads Parker Solar Probe Solar Probe Cup data

Parameters:

trange (list of str) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]
datatype (str) –

Data type; Valid options include:
‘l3i’ (level=’l3’) ‘l2i’ (level=’l2’)
suffix (str) – The tplot variable names will be given this suffix. By default, no suffix is added.
get_support_data (bool) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.
varformat (str) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.
varnames (list of str) – List of variable names to load (if not specified, all data variables are loaded)
downloadonly (bool) – Set this flag to download the CDF files, but not load them into tplot variables
notplot (bool) – Return the data in hash tables instead of creating tplot variables
no_update (bool) – If set, only load data from your local cache
time_clip (bool) – Time clip the variables to exactly the range specified in the trange keyword
username (str) – Username to use for authentication.

If passed, attempt to download data from the SWEAP Instrument Team server instead of the fully public server at SPDF. Provides access to unpublished files.
password (str) – Password to use for authentication
last_version (bool) – If True, only download the highest-numbered file version

Return type:

List of tplot variables created.

Example

import pyspedas
from pytplot import tplot
spc_vars = pyspedas.psp.spc(trange=['2018-11-5', '2018-11-6'], datatype='l3i', level='l3')
tplot(['np_fit', 'vp_fit_RTN'])

SWEAP/SPAN-e

pyspedas.psp.spe(trange=['2018-11-5', '2018-11-6'], datatype='spa_sf1_32e', level='l2', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False, last_version=False)

This function loads Parker Solar Probe SWEAP/SPAN-e data

Parameters:

trange (list of str) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]
datatype (str) –

Data type; Valid options include:
spa_sf0_pad (L3) spb_sf0_pad (L3) spe_sf0_pad (L3) spa_sf1_32e (L2) spb_sf1_32e (L2) spa_sf0_16ax8dx32e (L2) spb_sf0_16ax8dx32e (L2)
suffix (str) – The tplot variable names will be given this suffix. By default, no suffix is added.
get_support_data (bool) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.
varformat (str) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.
varnames (list of str) – List of variable names to load (if not specified, all data variables are loaded)
downloadonly (bool) – Set this flag to download the CDF files, but not load them into tplot variables
notplot (bool) – Return the data in hash tables instead of creating tplot variables
no_update (bool) – If set, only load data from your local cache
time_clip (bool) – Time clip the variables to exactly the range specified in the trange keyword
last_version (bool) – If True, only download the highest-numbered file version

Return type:

List of tplot variables created.

Example

import pyspedas
from pytplot import tplot
spe_vars = pyspedas.psp.spe(trange=['2018-11-5', '2018-11-5/06:00'], datatype='spa_sf1_32e', level='l2', time_clip=True)
tplot('EFLUX')

SWEAP/SPAN-i

pyspedas.psp.spi(trange=['2018-11-5', '2018-11-6'], datatype='sf00_l3_mom', level='l3', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False, username=None, password=None, last_version=False)

This function loads Parker Solar Probe SWEAP/SPAN-i data

Parameters:

trange (list of str) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]
datatype (str) –

Data type; Valid options Include:
‘sf00_l3_mom’: Moments of the Proton distribution function (RTN) ‘sf0a_l3_mom’: Moments of the Alpha distribution function (RTN) ‘sf00_l3_mom_inst’: Moments of the Proton distribution function (Instrument Frame) ‘sf0a_l3_mom_inst’: Moments of the Alpha distribution function (Instrument Frame)
suffix (str) – The tplot variable names will be given this suffix. By default, no suffix is added.
get_support_data (bool) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.
varformat (str) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.
varnames (list of str) – List of variable names to load (if not specified, all data variables are loaded)
downloadonly (bool) – Set this flag to download the CDF files, but not load them into tplot variables
notplot (bool) – Return the data in hash tables instead of creating tplot variables
no_update (bool) – If set, only load data from your local cache
time_clip (bool) – Time clip the variables to exactly the range specified in the trange keyword
username (str) – Username to use for authentication.

If passed, attempt to download data from the SWEAP Instrument Team server instead of the fully public server at SPDF. Provides access to unpublished files.
password (str) – Password to use for authentication
last_version (bool) – If True, only download the highest-numbered file version

Return type:

List of tplot variables created.

Example

import pyspedas
from pytplot import tplot
spi_vars = pyspedas.psp.spi(trange=['2018-11-5', '2018-11-5/06:00'], datatype='spi_sf0a_mom_inst', level='l3', time_clip=True)
tplot(['DENS', 'VEL', 'T_TENSOR', 'TEMP', 'EFLUX_VS_ENERGY', 'EFLUX_VS_THETA', 'EFLUX_VS_PHI'])

IS☉IS/EPI-Hi

pyspedas.psp.epihi(trange=['2018-11-5', '2018-11-6'], datatype='let1_rates1h', level='l2', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False, last_version=False)

This function loads Parker Solar Probe ISoIS/EPI-Hi data

Parameters:

trange (list of str) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]
datatype (str) – Data type; Valid options:
suffix (str) – The tplot variable names will be given this suffix. By default, no suffix is added.
get_support_data (bool) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.
varformat (str) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.
varnames (list of str) – List of variable names to load (if not specified, all data variables are loaded)
downloadonly (bool) – Set this flag to download the CDF files, but not load them into tplot variables
notplot (bool) – Return the data in hash tables instead of creating tplot variables
no_update (bool) – If set, only load data from your local cache
time_clip (bool) – Time clip the variables to exactly the range specified in the trange keyword
last_version (bool) – If True, only download the highest-numbered file version

Return type:

List of tplot variables created.

Example

import pyspedas
from pytplot import tplot
epihi_vars = pyspedas.psp.epihi(trange=['2018-11-5', '2018-11-5/06:00'], datatype='let1_rates1h', level='l2', time_clip=True)
tplot(['B_He_Rate', 'A_He_Flux', 'A_S_Rate'])

IS☉IS/EPI (merged summary data)

pyspedas.psp.epi(trange=['2018-11-5', '2018-11-6'], datatype='summary', level='l2', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False, last_version=False)

This function loads Parker Solar Probe ISoIS/EPI (merged summary) data

Parameters:

trange (list of str) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]
datatype (str) – Data type; Valid options:
suffix (str) – The tplot variable names will be given this suffix. By default, no suffix is added.
get_support_data (bool) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.
varformat (str) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.
varnames (list of str) – List of variable names to load (if not specified, all data variables are loaded)
downloadonly (bool) – Set this flag to download the CDF files, but not load them into tplot variables
notplot (bool) – Return the data in hash tables instead of creating tplot variables
no_update (bool) – If set, only load data from your local cache
time_clip (bool) – Time clip the variables to exactly the range specified in the trange keyword
last_version (bool) – If True, only download the highest-numbered file version

Return type:

List of tplot variables created.

Example

import pyspedas
from pytplot import tplot
epi_vars = pyspedas.psp.epi(trange=['2018-11-5', '2018-11-5/06:00'], datatype='summary', level='l2', time_clip=True)
tplot(['A_H_Rate_TS', 'H_CountRate_ChanT_SP', 'Electron_CountRate_ChanE', 'HET_A_H_Rate_TS', 'HET_A_Electrons_Rate_TS'])