为了更定量地研究太阳耀斑软X射线辐射的统计性质,发展了一套对于给定峰值流量区间的耀斑的自动识别程序,并用它分析了从1980年~2013年GOES(Geostationary Operational Environmental Satellite)在两个软X射线波段上对太阳耀斑的观测.研究发现耀斑软X射线流量在峰值附近变化的统计特征和耀斑流量峰值的绝对大小无关:平均而言耀斑流量的上升时间约是下降时间的一半,而且高能量通道的上升和下降时间比相应的低能量通道时间要短,但是这些时间还是会随着耀斑流量变化幅度的增加而增加.
In order to quantitatively study the statistical properties of the soft X-ray emission of solar flares, an algorithm is developed to automatically detect flares in the light curve for a given flux range, and to analyze the GOES (Geostationary Operational Environmental Satellite) data from 1980 to 2013 in two soft X-ray bands. This study indicates that the statistical characteristics near the peak flux of big flares have nothing to do with the absolute peak flux: on average, the rise time of flares is about half of the decay time. Compared with the low-energy channel, the corresponding time in the high-energy channel is shorter. However, these times increase with the increase of the variation of the peak flux for a flare.