<p>The magnetometer (MAG) is one of the ten scientific instruments on the Interstellar Mapping and Acceleration Probe (IMAP), which will take in situ and remote measurements from a Sun-Earth L1 halo orbit. MAG contributes to IMAP science goals of investigating the acceleration and propagation of energetic particles, as well as providing real-time space weather monitoring data. The magnetometer is a conventional dual sensor fluxgate instrument with a noise floor under 10 pT at 1&#xa0;Hz, taking science measurements continuously at 2 vectors/s as well as a burst mode of 64 vectors/s for at least 8 hours per day. It also provides a real-time space weather monitoring product at 4 second cadence. We describe the requirements, design and performance of the instrument, including a novel lossless compression algorithm. Data products, processing and calibration plans are presented.</p>

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The IMAP Magnetometer

  • T. S. Horbury,
  • H. L. O’Brien,
  • C. Greenaway,
  • A. Roberts,
  • A. Crabtree,
  • M. Tomes,
  • M. Facchinelli,
  • M. Finlayson,
  • M. Bharatia,
  • E. Fauchon-Jones,
  • M. Tapley,
  • S. Pope,
  • D. Jones,
  • I. Richter,
  • S. Dalla,
  • C. Russell,
  • N. A. Schwadron,
  • M. Gkioulidou,
  • D. J. McComas

摘要

The magnetometer (MAG) is one of the ten scientific instruments on the Interstellar Mapping and Acceleration Probe (IMAP), which will take in situ and remote measurements from a Sun-Earth L1 halo orbit. MAG contributes to IMAP science goals of investigating the acceleration and propagation of energetic particles, as well as providing real-time space weather monitoring data. The magnetometer is a conventional dual sensor fluxgate instrument with a noise floor under 10 pT at 1 Hz, taking science measurements continuously at 2 vectors/s as well as a burst mode of 64 vectors/s for at least 8 hours per day. It also provides a real-time space weather monitoring product at 4 second cadence. We describe the requirements, design and performance of the instrument, including a novel lossless compression algorithm. Data products, processing and calibration plans are presented.