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首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >A unified approach to inner magnetospheric state prediction
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A unified approach to inner magnetospheric state prediction

机译：一个统一的方法内磁性层的状态预测

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This brief technique paper presents amethod of reconstructing the global, time-varying distribution of some physical quantity Q that has been sparsely sampled at various locations within the magnetosphere and at different times. The quantity Q can be essentially any measurement taken on the satellite including a variety of waves (chorus, hiss, magnetosonic, and ion cyclotron), electrons of various energies ranging from cold to relativistic, and ions of various species and energies. As an illustrative example, we chose Q to be the electron number density (inferred from spacecraft potential) measured by three Time History of Events and Macroscale Interactions during Substorms (THEMIS) probes between 2008 and 2014 and use the SYM-H index, taken at a 5min cadence for the 5 h preceding each observed data point as themain regressor, although the predictor can also be any suitable geomagnetic index or solar wind parameter. Results show that the equatorial electron number density can be accurately reconstructed throughout the whole of the inner magnetosphere as a function of space and time, even capturing the dynamics of elementary plasmaspheric plume formation and corotation, suggesting that the dynamics of various other physical quantities could be similarly captured. For our main model, we use a simple, fully connected feedforward neural network with two hidden layers having sigmoidal activation functions and an output layer with a linear activation function to perform the reconstruction. The training is performed using the Levenberg-Marquardt algorithm and gives typical RMS errors of ~1.7 and regression of >0.93, which is considered excellent. We also present a discussion on the different applications and future extensions of the present model, for modeling various physical quantities.
机译：这短暂的技术提出了amethod重建全球,时变分布的一些物理量Q在不同地点分散取样磁气圈和在不同的时间。问可以本质上任何数量测量包括各种拍摄的卫星波(合唱、嘶嘶声、magnetosonic和离子回旋加速器),电子等各种能量从冷到相对论,和各种离子物种和能量。我们选择问的电子数密度(从飞船可能推断)来衡量三个时间的历史事件和宏观尺度在亚暴(裁判)探测器相互作用在2008年和2014年之间,并使用SYM-H指数,在5分钟前5 h的节奏每个观测数据点作为主要解释变量,虽然预测任何合适的也可以地磁指数或太阳风参数。结果表明,赤道的电子数密度可以准确地重建在整个内部的磁场空间和时间的函数,甚至捕捉基本的动力学plasmaspheric羽形成和共转,这表明各种其他物理量的动力学同样可以捕获。我们使用一个简单的、完全连接前馈神经网络有两个隐藏层反曲的激活函数和一个输出层和一个线性激活函数执行重建。使用Levenberg-Marquardt算法执行并给出了典型的RMS ~ 1.7和错误> 0.93的回归,这是考虑太好了。不同的应用程序和未来的扩展目前的模型,对各种物理建模数量。

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