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LONG-TERM COSMIC-RAY MODULATION IN THE HELIOSPHERE

机译:日球的长期宇宙射线调制

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摘要

A time-dependent model based on a numerical solution of Parker's transport equation is used to model the modulation of cosmic-ray protons, electrons, and helium for full 11 year and 22 year modulation cycles using a compound approach. This approach incorporates the concept of propagating diffusion barriers, increases in the heliospheric magnetic field as they propagate from the Sun throughout the heliosphere, time-dependent gradient, curvature, and current-sheet drifts, and other basic modulation mechanisms. The model results are compared with those of the observed 11 year and 22 year cycles for 1.2 GV electrons and 1.2 GV helium at Earth for the period of 1975-1998. The model solutions are also compared with the observed charge-sign-dependent modulation along the Ulysses trajectory for the period of 1990-1998. This compound approach to long-term modulation, especially charge-sign-dependent modulation, is found to be remarkably successful. It is shown that the model can account for the latitude dependence of cosmic-ray protons and electrons by assuming a large perpendicular diffusion in the polar direction. This approach contributes to an improved understanding of how diffusion and drifts vary from solar minimum to maximum modulation and what the time dependence of the heliospheric diffusion coefficients may be. It is found that less than 10% of the available drifts are needed at solar maximum, when the solar magnetic field reverses, to explain, e.g., the observed electron-to-proton ratio along the Ulysses trajectory.
机译:基于帕克输运方程数值解的基于时间的模型用于使用复合方法对整个11年和22年调制周期的宇宙射线质子,电子和氦的调制进行建模。这种方法结合了传播扩散势垒的概念,当它们从太阳传播到整个大气层时,在大气层中磁场的增加,与时间有关的梯度,曲率和电流表漂移以及其他基本调制机制。将模型结果与观测的1975-1998年期间地球上1.2 GV电子和1.2 GV氦气的11年和22年周期的结果进行了比较。还将模型解与1990-1998年期间沿尤利西斯轨迹观察到的依赖于电荷符号的调制进行了比较。已经发现这种用于长期调制,特别是依赖于电荷符号的调制的复合方法非常成功。结果表明,该模型可以通过假设在极性方向上存在较大的垂直扩散来解释宇宙射线质子和电子的纬度依赖性。这种方法有助于更好地理解扩散和漂移如何从太阳的最小调制变化到最大调制,以及日光层扩散系数的时间依赖性如何。已经发现,当太阳磁场反向时,在太阳最大值时,需要的漂移少于10%,以解释例如沿着尤利西斯轨迹观察到的电子质子比。

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