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Bayesian Model for HOPE Mass Spectrometers on Van Allen Probes

机译:贝叶斯模型希望质谱仪艾伦探针

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Space instruments rely heavily on modeling to predict and understand the instrument response, enabling a determination of the capabilities and resolution. The Bayesian approach provides a framework to incorporate prior knowledge and propagate uncertainty to predict the instrument response. We present an empirical Bayes model for the end-to-end performance of the Helium, Oxygen, Proton, and Electron mass spectrometers aboard the Van Allen Probes mission. In this model, we use a combination of external modeling, laboratory calibration, and expert opinion to construct the time-of-flight spectra and demonstrate good agreement with on-orbit data. The empirical Bayes model is applied to explore doubly charged ions and carbon, nitrogen, oxygen discrimination during the Van Allen Probes mission.
机译:空间工具严重依赖建模预测和理解仪器的响应,支持的能力和决心决议。将先验知识和框架传播的不确定性预测工具响应。端到端性能的氦、氧、质子和电子质谱仪范艾伦辐射探测任务。使用外部的组合建模,实验室校准和专家意见构建飞行时间谱和具备良好的协议与在轨数据。经验贝叶斯模型应用于探索双离子和碳、氮、氧歧视在范艾伦辐射探测器的使命。

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