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Observational Signatures of Impulsively Heated Coronal Loops: Power-Law Distribution of Energies

机译:脉冲加热冠状Loop的观测特征:能量的幂律分布

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It has been established that small scale heating events, known as nanoflares, are important for solar coronal heating if the power-law distribution of their energies has a slope α steeper than −2 (α<−2). Forward modeling of impulsively heated coronal loops with a set of prescribed power-law indices α is performed. The power-law distribution is incorporated into the governing equations of motion through an impulsive heating term. The results are converted into synthetic Hinode/EIS observations in the 40″ imaging mode, using a selection of spectral lines formed at various temperatures. It is shown that the intensities of the emission lines and their standard deviations are sensitive to changes in α. A method based on a combination of observations and forward modeling is proposed for determining whether the heating in a particular case is due to small or large scale events. The method is extended and applied to a loop structure that consists of multiple strands.
机译:已经确定的是,如果小规模的加热事件(其能量的幂律分布)的斜率α大于-2(α<-2),则对太阳日冕加热至关重要。对具有一组规定的幂律指数α的脉冲加热冠状环进行正向建模。通过脉冲加热项将幂律分布合并到运动的控制方程中。通过选择在各种温度下形成的光谱线,将结果转换为40英寸成像模式下的合成Hinode / EIS观测值。结果表明,发射线的强度及其标准偏差对α的变化敏感。提出了一种基于观察和前向建模相结合的方法,用于确定在特定情况下的加热是由于小规模事件还是大规模事件。该方法被扩展并应用于包含多条链的环结构。

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