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arXiv 2302.00531astro-ph.SRastro-ph.IM
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利用白光重建技术从合成数据导出的3D CME参数的量化误差

Quantifying errors in 3D CME parameters derived from synthetic data using white-light reconstruction techniques

Christine Verbeke, M. Leila Mays, Christina Kay, Pete Riley, Erika Palmerio, Mateja Dumbović, Marilena Mierla, Camilla Scolini, Manuela Temmer, Evangelos Paouri… 展开作者

Christine Verbeke, M. Leila Mays, Christina Kay, Pete Riley, Erika Palmerio, Mateja Dumbović, Marilena Mierla, Camilla Scolini, Manuela Temmer, Evangelos Paouris, Laura A. Balmaceda, Hebe Cremades, Jürgen Hinterreiter

摘要:

目前对日冕物质抛射的空间天气预报工作主要集中在预测日冕物质抛射的到达时间和磁场结构上。为了做出预测,已经开发了一些方法来推导出真实的CME速度,大小和位置等。由于缺乏对日冕磁场的直接测量以及对日冕物质抛射三维几何和运动学参数估计的不确定性,在确定日冕物质抛射预报的输入参数方面存在困难。白光日冕物质抛射图像通常用于各种CME重建技术。我们探讨如何主观影响的三维CME参数,从GCS重建技术。我们已经设计了两种不同的合成方案,其中的“真正的”几何参数是已知的,以量化这种不确定性的第一次。我们探索如下:1)使用GCS模型软件中的射线跟踪选项,2)使用MAS代码中的3D MHD模拟数据。我们的实验包括使用单个和多个视点的不同观看配置。CME重建使用一个单一的观点有最大的误差和误差范围的合成GCS和模拟MHD白光数据。将视点数目增加到两个,误差在纬度上减少了约4 $^\circ$,在经度上减少了约22 $^\circ$,在倾斜上减少了约14 $^\circ$,在半角上减少了约10 $^\circ$,这表明需要至少两个视点。我们发现以下CME参数误差条作为量化来自白光重建的CME参数的最小误差的起点:$Δθ$(纬度)= ${6^\circ}$,$Δϕ$(经度)= ${11^\circ}$,$Δγ$(倾斜)= ${25^\circ}$,$Δα$(半角)= ${10^\circ}$,$Δh$(高度)= $0.6 R_{\odot}$,以及$Δκ$(比率)= $0.1$。

英文摘要:

(Shortened version) Current efforts in space weather forecasting of CMEs have been focused on predicting their arrival time and magnetic structure. To make predictions, methods have been developed to derive the true CME speed, size and position, among others. Difficulties in determining input parameters for CME forecasting arise from the lack of direct measurements of the coronal magnetic fields and uncertainties in estimating the CME 3D geometric and kinematic parameters. White-light coronagraph images are usually employed by a variety of CME reconstruction techniques. We explore how subjectivity affects the 3D CME parameters that are obtained from the GCS reconstruction technique. We have designed two different synthetic scenarios where the ``true'' geometric parameters are known in order to quantify such uncertainties for the first time. We explore this as follows: 1) Using the ray-tracing option from the GCS model software, and 2) Using 3D MHD simulation data from the MAS code. Our experiment includes different viewing configurations using single and multiple viewpoints. CME reconstructions using a single viewpoint had the largest errors and error ranges for both synthetic GCS and simulated MHD white-light data. Increasing the number of viewpoints to two, the errors decreased by about 4$^\circ$ in latitude, 22$^\circ$ in longitude, 14$^\circ$ in tilt, and 10$^\circ$ in half-angle, pointing towards a need for at least two viewpoints. We found the following CME parameter error bars as a starting point for quantifying the minimum error in CME parameters from white-light reconstructions: $Δθ$ (latitude)=${6^\circ}$, $Δϕ$ (longitude)=${11^\circ}$, $Δγ$ (tilt)=${25^\circ}$, $Δα$ (half-angle)=${10^\circ}$, $Δh$ (height)=$0.6 R_{\odot}$, and $Δκ$ (ratio)=$0.1$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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