定标是射电天文观测中基础而重要的工作.定标工作可以得到太阳观测中的一个重要物理量:太阳射电辐射流量,可以扣除射电频谱仪的通道不均匀性,清晰显示射电频谱特征.结合紫金山天文台射电频谱仪的观测数据,详细介绍了定标的基本方法,分析了定标常数的变化情况,最后给出了定标结果,并与野边山射电偏振计以及RHESSI(The Reuven Ramaty High Energy Solar Spectroscopic Imager)卫星硬X射线波段的几个太阳耀斑的观测结果进行了比较,结果符合耀斑的光变特征.其中对一个耀斑脉冲相硬X射线流量和微波光变的相关性的分析表明这些观测可以用来研究有关的辐射机制以及相应的能量释放和粒子加速过程.
Properties of fractional Brownian motions （fBms） have been investigated by researchers in different fields, e.g. statistics, hydrology, biology, finance, and public transportation, which has helped us better understand many complex time series observed in nature [1-4]. The Hurst exponent H （0 〈 H 〈 1） is the most important parameter characterizing any given time series F（t）, where t represents the time steps, and the fractal dimension D is determined via the relation D = 2 - H.
BingQiang QiaoSiMing LiuHouDun ZengXiang LiBenZhong Dai
The power-law frequency distributions of the peak flux of solar flare X-ray emission have been studied extensively and attributed to a system having self-organized criticality （SOC）. In this paper, we first show that, so long as the shape of the normalized light curve is not correlated with the peak flux, the flux histogram of solar flares also follows a power-law distribution with the same spectral index as the power- law frequency distribution of the peak flux, which may partially explain why power-law distributions are ubiquitous in the Universe. We then show that the spectral indexes of the histograms of soft X-ray fluxes observed by GOES satellites in two different energy channels are different： the higher energy channel has a harder distribution than the lower energy channel, which challenges the universal power-law distribution predicted by SOC models and implies a very soft distribution of thermal energy content of plasmas probed by the GOES satellites. The temperature （T） distribution, on the other hand, approaches a power-law dis- tribution with an index of 2 for high values of T. Hence the application of SOC models to the statistical properties of solar flares needs to be revisited.
You-Ping LiLi FengPing ZhangSi-Ming LiuWei-Qun Gan
