Verification and calibration of a commercial anisotropic magnetoresistive magnetometer by multivariate non-linear regression

Belsten, Nicholas; Knapp, Mary; Masterson, Rebecca; Payne, Cadence; Ammons, Kristen; Lind, Frank D.; Cahoy, Kerri

doi:https://doi.org/10.5194/gi-12-201-2023

Articles | Volume 12, issue 2

https://doi.org/10.5194/gi-12-201-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gi-12-201-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 2

15 Sep 2023

| 15 Sep 2023

Verification and calibration of a commercial anisotropic magnetoresistive magnetometer by multivariate non-linear regression

Nicholas Belsten, Mary Knapp, Rebecca Masterson, Cadence Payne, Kristen Ammons, Frank D. Lind, and Kerri Cahoy

Data sets

AV-MagEval-Data N. Belsten https://doi.org/10.5281/zenodo.8323382

Model code and software

AV_MagEval_Drivers N. Belsten https://doi.org/10.5281/zenodo.8323386

Short summary

AERO and VISTA spacecraft will use commercial magnetometers to measure space weather events near Earth’s aurora. The small size of AERO and VISTA necessitate the use of magnetometers with small size, weight, and power. The magnetometers selected exhibit good precision, but additional calibration is needed to achieve good accuracy. This work evaluates a method for calibration by regression which has reduced the magnetic observed error by a factor of ca. 50, meeting mission requirements.