Initial Operation and Preliminary Results of the Instrument for the Study of
            Stable/Storm-Time Space (ISSS) on Board the Next Generation Small Satellite-1
            (NEXTSat-1)

Kim, Eojin; Yoo, Ji-Hyeon; Kim, Hee‐Eun; Seo, Hoonkyu; Ryu, Kwang‐Sun; Sohn, Jin-Hun; Lee, Junchan; Seon, Jongho; Lee, Ensang; Lee, Dae-Young; Min, Kyoung‐Wook; Kang, Kyung-In; Lee, Sang-Yun; Kang, Juneseok

doi:10.5140/jass.2020.37.3.209

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…All the processes are performed using Python 3.8.5, NumPy 1.19.2, SciPy 1.6, AstroPy 4.2, SpacePy 0.2.1, and ChaosmagPy 0.5 including the CHAOS-7.6 geomagnetic field model. In the future, this code will be used for in-orbit calibration of the magnetic field data from the NEXT generation small Satellite-1 (NEXTSat-1) operated by the Satellite Technology Research Center (SaTReC) of the Korea Advanced Institute of Science and Technology (KAIST) (Kim et al 2020), and from the Korea Astronomy and Space Science Institute Satellite (KASISat) of the Small scale magNetospheric and Ionospheric Plasma Experiment (SNIPE) mission under development at the Korea Astronomy and Space Science Institute (KASI) (Sohn et al 2018;Kang et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Magnetometer Calibration Based on the CHAOS-7 Model

Song¹,

Park²,

Lee³

2021

Journal of Astronomy and Space Sciences

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We describe a method for the in-orbit calibration of body-mounted magnetometers based on the CHAOS-7 geomagnetic field model. The code is designed to find the true calibration parameters autonomously by using only the onboard magnetometer data and the corresponding CHAOS outputs. As the model output and satellite data have different coordinate systems, they are first transformed to a Star Tracker Coordinate (STC). Then, non-linear optimization processes are run to minimize the differences between the CHAOS-7 model and satellite data in the STC. The process finally searches out a suite of calibration parameters that can maximize the model-data agreement. These parameters include the instrument gain, offset, axis orthogonality, and Euler rotation matrices between the magnetometer frame and the STC. To validate the performance of the Python code, we first produce pseudo satellite data by convoluting CHAOS-7 model outputs with a prescribed set of the ‘true’ calibration parameters. Then, we let the code autonomously undistort the pseudo satellite data through optimization processes, which ultimately track down the initially prescribed calibration parameters. The reconstructed parameters are in good agreement with the prescribed (true) ones, which demonstrates that the code can be used for actual instrument data calibration. This study is performed using Python 3.8.5, NumPy 1.19.2, SciPy 1.6, AstroPy 4.2, SpacePy 0.2.1, and ChaosmagPy 0.5 including the CHAOS-7.6 geomagnetic field model. This code will be utilized for processing NextSat-1 and Small scale magNetospheric and Ionospheric Plasma Experiment (SNIPE) data in the future.

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Section: Introductionmentioning

confidence: 99%

Magnetometer Calibration Based on the CHAOS-7 Model

Song¹,

Park²,

Lee³

2021

Journal of Astronomy and Space Sciences

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Low-latitude plasma blobs above Africa: Exploiting GOLD and multi-satellite in situ measurements

Park

Min

Eastes

et al. 2023

Advances in Space Research

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Multi‐Year Statistics of LEO Energetic Electrons as Observed by the Korean NextSat‐1

et al. 2021

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Monitoring the Earth's radiation belt by Low-Earth-Orbit (LEO) satellites has a long history and complemented observations near the high-altitude equatorial plane. However, most of the previous LEO missions suffered from limitations in energy resolution, energy range, L-shell coverage, or the mission lifetime, which leave room for further improvement in this topic. Here we present multi-year (January 2019~February 2021) observations of energetic (0.03 MeV~1.8 MeV) electrons by the Korean NextSat-1 (altitude~575 km) with high energy resolution (0.006-0.4 MeV) and seamless L-shell coverage. For <80 keV electrons, the slot-region outer edge moves inward with increasing geomagnetic activity, which agrees with previous Van Allen Probes reports. The behavior is more conspicuous for lower-energy electrons. Latitudinal profiles of outer-belt electron flux are smoother equatorward of the geosynchronous footprint latitudes (|MLAT|~66 o ) than poleward. The NextSat-1 electron flux is positively correlated to geosynchronous observations, with the coefficient generally higher for higher electron energies. Also, both the geosynchronous and NextSat-1 data exhibit similar spectral indices close to -3 in the log-log space. All these results complement and expand previous knowledge on energetic electrons. The main findings are discussed in the context of existing literature.

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Initial Operation and Preliminary Results of the Instrument for the Study of Stable/Storm-Time Space (ISSS) on Board the Next Generation Small Satellite-1 (NEXTSat-1)

Cited by 3 publications

References 7 publications

Magnetometer Calibration Based on the CHAOS-7 Model

Magnetometer Calibration Based on the CHAOS-7 Model

Low-latitude plasma blobs above Africa: Exploiting GOLD and multi-satellite in situ measurements

Multi‐Year Statistics of LEO Energetic Electrons as Observed by the Korean NextSat‐1

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