Neutral Atmospheric Density Measurement Using Insight-HXMT Data by Earth Occultation Technique
Wang-Chen Xue, Xiao-Bo Li, Shao-Lin Xiong, Yong Chen, Shuang-Nan, Zhang, Li-Ming Song, Shu Zhang, Ming-Yu Ge, You-Li Tuo, Hai-Tao Li, Dao-Chun, Yu, Dong-Ya Guo, Jia-Cong Liu, Yan-Qiu Zhang, and Chao Zheng

TL;DR
This paper presents a Bayesian Earth occultation technique using Insight-HXMT data to accurately measure neutral atmospheric densities at various altitudes, improving upon previous methods by fully utilizing observational data.
Contribution
The study introduces a novel Bayesian atmospheric density retrieval method that leverages the full Insight-HXMT occultation data, reducing systematic bias and statistical errors compared to prior approaches.
Findings
Retrieved densities are 10-25% lower than NRLMSISE-00 model at 55-100 km altitudes.
The method confirms NRLMSIS 2.0's consistency with observed data.
Utilized 115 occultation datasets for cross-validation.
Abstract
The Earth occultation technique has broad applications in both astronomy and atmospheric density measurements. We construct the background model during the occultation of the Crab Nebula observed by the Insight-Hard X-ray Modulation Telescope (Insight-HXMT) at energies between 6 keV and 100 keV. We propose a Bayesian atmospheric density retrieval method based on the Earth occultation technique, combining Poisson and Gaussian statistics. By modeling the atmospheric attenuation of X-ray photons during the occultation, we simultaneously retrieved the neutral densities of the atmosphere at different altitude ranges. Our method considers the correlation of densities between neighboring atmospheric layers and reduces the potential systematic bias to which previous work may be subject. Previous analyses based on light curve fitting or spectral fitting also lost some spectral or temporal…
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Taxonomy
TopicsStatistical and numerical algorithms · Gamma-ray bursts and supernovae · Atmospheric and Environmental Gas Dynamics
