Enabling in situ validation of mitigation algorithms for magnetic interference via a laboratory-generated dataset

Matthew Finley; Allison Flores; Katherine Morris; Robert Broadfoot; Sam Hisel; Jason Homann; Chris Piker; Ananya Sen Gupta; David Miles

doi:10.5194/gi-13-263-2024

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Enabling in situ validation of mitigation algorithms for magnetic interference via a laboratory-generated dataset

Journal article

Open access

Peer reviewed

Enabling in situ validation of mitigation algorithms for magnetic interference via a laboratory-generated dataset

Matthew Finley, Allison Flores, Katherine Morris, Robert Broadfoot, Sam Hisel, Jason Homann, Chris Piker, Ananya Sen Gupta and David Miles

Geoscientific instrumentation, methods and data systems, Vol.13(2), pp.263-275

08/20/2024

DOI: 10.5194/gi-13-263-2024

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Abstract

Magnetometer measurements are one of the critical components necessary for improving our understanding of the intricate physical processes coupling mass, momentum, and energy within near-Earth space and throughout our solar system. However, these measurements are often contaminated by stray magnetic fields from the spacecraft hosting the magnetic-field sensors, and the data often require the application of interference mitigation algorithms prior to scientific use. Rigorous numerical validation of these techniques can be challenging when the techniques are applied to in situ spaceflight data as a ground truth for the local magnetic field is often unavailable. This paper introduces and details the generation of an open-source dataset designed to facilitate the assessment of interference mitigation techniques for magnetic-field data collected during spaceflight missions. The dataset contains over 100 h of magnetic-field data, comprising mixtures of near-direct-current (near-DC) trends, physically synthesized interference, and pseudo-geophysical phenomena. These constituent source signals have been independently captured by four synchronized magnetometers sampling at a high cadence and combined into 30 min intervals of data representing events and interference seen in historic missions. The physical locations of the four magnetometers relative to the interference sources enable researchers to test their interference mitigation algorithms with various magnetometer suite configurations, and the dataset also provides a ground truth for the underlying interference signals, enabling the rigorous quantification of the results of past, present, and future interference mitigation efforts.

Algorithms

Software

Critical components

Data collection

Datasets

Magnetic field

Magnetic fields

Magnetometers

Mitigation

Momentum

Radiation

Sensors

Solar magnetic field

Space flight

Space missions

Spacecraft

Details

Title: Subtitle: Enabling in situ validation of mitigation algorithms for magnetic interference via a laboratory-generated dataset
Creators: Matthew Finley
Allison Flores
Katherine Morris
Robert Broadfoot
Sam Hisel
Jason Homann
Chris Piker
Ananya Sen Gupta
David Miles
Resource Type: Journal article
Publication Details: Geoscientific instrumentation, methods and data systems, Vol.13(2), pp.263-275
DOI: 10.5194/gi-13-263-2024
ISSN: 2193-0856
eISSN: 2193-0864
Publisher: Copernicus GmbH
Grant note: Air Force Office of Scientific Research, US: FA9550-21-1-0206 National Aeronautics and Space Administration's HERMES mission: 80NSSC21M0180, 80NSSC23K1295
This work was supported in part by the Air Force Office of Scientific Research, US (grant no. FA9550-21-1-0206). Matthew G. Finley was additionally supported for this work in part by the National Aeronautics and Space Administration's HERMES mission and grant nos. 80NSSC21M0180 and 80NSSC23K1295.
Language: English
Date published: 08/20/2024
Academic Unit: Electrical and Computer Engineering; Physics and Astronomy
Record Identifier: 9984697660202771

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