A Merged Search-Coil and Fluxgate Magnetometer Data Product for Parker Solar Probe FIELDS
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2020-01-19
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Bowen Trevor A, Bale Stuart D, Bonnell John W, Wit Thierry Dudok de, Goetz Keith, Goodrich Katherine, Gruesbeck Jacob, Harvey Peter R, Jannet Guillaume, Koval Andriy, MacDowall Robert J, Malaspina David M, Pulupa Marc, Revillet Claire, Sheppard David, Szabo Adam, A Merged Search-Coil and Fluxgate Magnetometer Data Product for Parker Solar Probe FIELDS, 2020, https://arxiv.org/pdf/2001.04587.pdf
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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0
This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract
NASA’s Parker Solar Probe (PSP) mission is currently investigating the local plasma environment of the inner-heliosphere (<0.25R ) using both in-situ and remote sensing instrumentation. Connecting signatures of microphysical particle heating and acceleration processes to macro-scale heliospheric structure requires sensitive measurements of electromagnetic fields over a large range of physical scales. The FIELDS instrument, which provides PSP with in-situ measurements of electromagnetic fields of the inner heliosphere and corona, includes a set of three vector magnetometers: two fluxgate magnetometers (MAGs), and a single inductively coupled search-coil magnetometer (SCM). Together, the three FIELDS magnetometers enable measurements of the local magnetic field with a bandwidth ranging from DC to 1 MHz. This manuscript reports on the development of a merged data set combining SCM and MAG (SCaM) measurements, enabling the highest fidelity data product with an optimal signal to noise ratio. On-ground characterization tests of complex instrumental responses and noise floors are discussed as well as application to the in-flight calibration of FIELDS data. The algorithm used on PSP/FIELDS to merge waveform observations from multiple sensors with optimal signal to noise characteristics is presented. In-flight analysis of calibrations and merging algorithm performance demonstrates a timing accuracy to well within the survey rate sample period of ∼ 340µs.