Wind SMS/STICS: Proton Distribution Functions from Magnetosphere, 3-Minute Resolution
Updated 2mo ago
3filesBIN
Available on 1 platform
Sign in to view source links and access this dataset
Description
STICS uses a triple-coincidence technique combining E/Q, TOF, and residual energy measurements to improve signal-to-noise ratio for ions up to 200 keV/q. The instrument provides full 3D velocity distribution functions through three telescopes and spacecraft spin, tracing a nearly 4π sr viewing area. Data is produced by NASA's Wind spacecraft, with the last metadata update recorded on March 13, 2026.
Use Cases
Model magnetospheric plasma dynamics based on 3D velocity distribution functions.
Analyze suprathermal ion composition and energy spectra based on mass and mass-per-charge identification up to 200 keV/q.
Study signal-to-noise optimization in particle detection based on the described triple-coincidence technique.
Map ion flux directional patterns based on the instrument's nearly 4π sr viewing area from spacecraft spin.
Strengths
Ion identification covers an energy-per-charge range of 6 keV/q to 200 keV/q.
Data collection employs a triple-coincidence technique to improve signal-to-noise ratio.
The instrument provides full 3D velocity distribution functions through three telescopes and spacecraft spin.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Double-coincidence measurements have limited ion identification, restricted to ions well separated in E/Q - TOF space.
Provenance
Source
National Aeronautics and Space Administration
Collection Method
Measured by the Suprathermal Ion Composition Spectrometer (STICS) instrument on the Wind spacecraft.
Freshness
Last updated 2026-03-13 13:21:20.851996; freshness should be verified.
Geography
Magnetosphere, with specific viewing sectors (Solar direction in sectors 8-10, Earthward direction in sectors 0-2).
File formats include BIN and HTML; specialized tools may be required for data access and interpretation.