Parker Solar Probe (PSP)

SPEDAS.PSP — Module

Sub-module for "Parker Solar Probe (PSP)"

To load project, project-specific instrument and dataset variables into scope:

using SPEDAS.PSP

Configuration File: PSP.toml

source

SPEDAS.PSP.psp — Constant

Project: Parker Solar Probe
  Instruments (Dict): 
    isois: Integrated Science Investigation of the Sun
    fields: FIELDS
    wispr: Wide-field Imager for Solar Probe
    eis: Ephemeris
    sweap: Solar Wind Electrons Alphas and Protons
  Metadata (Dict): 
    abbreviation: PSP
    links: ["https://hpde.io/SMWG/Observatory/ParkerSolarProbe.html", "[Wikipedia](https://en.wikipedia.org/wiki/Parker_Solar_Probe)"]
    spase_id: spase://SMWG/Observatory/ParkerSolarProbe

source

Instruments

SPEDAS.PSP.eis — Constant

Instrument: Ephemeris

source

SPEDAS.PSP.fields — Constant

Instrument: FIELDS
  Metadata (Dict): 
    spase_id: spase://SMWG/Instrument/ParkerSolarProbe/FIELDS

source

SPEDAS.PSP.isois — Constant

Instrument: Integrated Science Investigation of the Sun

source

SPEDAS.PSP.sweap — Constant

Instrument: Solar Wind Electrons Alphas and Protons

source

SPEDAS.PSP.wispr — Constant

Instrument: Wide-field Imager for Solar Probe

source

Datasets

Examples

using Speasy: SpeasyProduct
using SPEDAS
using CairoMakie, SpacePhysicsMakie
using Unitful

n = DataSet("Density",
    [
        SpeasyProduct("PSP_SWP_SPI_SF00_L3_MOM/DENS"; labels=["SPI Proton"]),
        SpeasyProduct("PSP_SWP_SPC_L3I/np_moment"; labels=["SPC Proton"]),
        SpeasyProduct("PSP_FLD_L3_RFS_LFR_QTN/N_elec"; labels=["RFS Electron"]),
        SpeasyProduct("PSP_FLD_L3_SQTN_RFS_V1V2/electron_density"; labels=["SQTN Electron"])
    ]
)

DataSet: Density
  Data (Array{Product{String, typeof(Speasy.get_data), Dict{Symbol, Vector{String}}}, 1}): 
    1: cda/PSP_SWP_SPI_SF00_L3_MOM/DENS [get_data]
    2: cda/PSP_SWP_SPC_L3I/np_moment [get_data]
    3: cda/PSP_FLD_L3_RFS_LFR_QTN/N_elec [get_data]
    4: cda/PSP_FLD_L3_SQTN_RFS_V1V2/electron_density [get_data]

The DataSets are callable: given a time range, it will return the actual data.

t0 = "2021-08-09T06"
t1 = "2021-08-10T18"
n(t0, t1)

4-element Vector{SpeasyVariable{Float32, 2}}:
 DENS [Time Range: 2021-08-09T06:00:00.718372352 to 2021-08-10T17:59:58.267416448, Units: cm^-3, Size: (50437, 1)]
 np_moment [Time Range: 2021-08-09T06:00:00.827632512 to 2021-08-10T23:59:59.989181056, Units: (All Qs) cm^{-3}, Size: (146729, 1)]
 N_elec [Time Range: 2021-08-09T06:00:02.854756608 to 2021-08-10T17:59:56.908615168, Units: cm^{-3}, Size: (34481, 1)]
 electron_density [Time Range: 2021-08-09T06:00:02.854756608 to 2021-08-10T17:59:56.908615168, Units: cm^-3, Size: (35354, 1)]

# tplot(n(t0, t1)) # get the data first and plot it
tplot(n, t0, t1) # or interactive mode

# Overlay multiple datasets in the same panel
tplot([n], t0, t1)

References

Wikipedia