论文标题

Parker太阳能探针场的合并搜索线和FluxGate磁力计数据产品

A Merged Search-Coil and Fluxgate Magnetometer Data Product for Parker Solar Probe FIELDS

论文作者

Bowen, Trevor A., Bale, Stuart D., Bonnell, John W., de Wit, Thierry Dudok, Goetz, Keith, Goodrich, Katherine, Gruesbeck, Jacob, Harvey, Peter R., Jannet, Guillaume, MacDowall, Andriy Koval Robert J., Malaspina, David M., Pulupa, Marc, Revillet, Claire, Sheppard, David, Szabo, Adam

论文摘要

NASA的Parker太阳能探针(PSP)任务目前正在使用{\ em {In-Situ}}和遥感仪器进行内部螺球的本地等离子体环境($ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ <$ r_ \ odot $)。将微物理颗粒加热和加速过程的特征连接到宏观尺度的地层结构需要对大量物理尺度上的电磁场的敏感测量。为PSP提供{\ em {In-situ}}的田间仪器的测量值包括三个矢量磁力计:两个载体磁力计:两个磁力磁力计(MAGS),以及一个电感性搜索型磁力表(SCM)。这三个磁场磁力仪共同实现了局部磁场的测量,带宽范围从直流到1 MHz。该手稿报告了结合SCM和MAG(SCAM)测量的合并数据集的开发,从而实现了具有最佳信号噪声比率的最高保真度数据产品。讨论了复杂的仪器响应和噪声地板的地面表征测试,并应用于田间数据的机上校准。介绍了在PSP/字段上使用的算法,用于合并来自具有最佳信号的多个传感器的波形观测到噪声特性。对校准和合并算法性能的机上分析表明,在$ \sim340μs$的调查率样本周期内的时机准确性。

NASA's Parker Solar Probe (PSP) mission is currently investigating the local plasma environment of the inner-heliosphere ($< $0.25$R_\odot$) using both {\em{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 {\em{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 $\sim340 μs$.

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