由GOLF和GONG仪器观测到的低频太阳p模式
Low-frequency solar p modes as seen by GOLF and GONG instruments
摘要：
在空间旋转的日震数据（如MDI，GONG，HMI）的情况下，通常的模式拟合分析包括单独或同时拟合给定多重峰（n，l）的2l+1个单独的m-谱。这种拟合方法不能获得可靠的模式参数（频率，分裂，.）当信噪比（SNR）低时，这使得当人们想要观察低频范围内的低振幅、长寿命太阳p模式时，这些方法不适合。相反，Salabert等人（2007年）开发了一种新的方法，通过调整每个m谱的旋转和结构引起的频移来提取模式参数，以最大限度地减少m平均谱中的模式宽度（“模式图”）。应用于空间分辨GONG和MDI数据的m平均频谱技术似乎是低频范围内低SNR模式的有力工具。提高信噪比的另一种可能性是将来自不同仪器的数据结合起来（Garcia等人，2004年a）。在这里，我们提出了一个适应这两种技术：应用到一个组合的观测从太阳作为一个明星的仪器，高尔夫球，和一个磁盘成像的，宫的“spectrosograms”。
英文摘要：
In the case of spatially-revolved helioseismic data (such as MDI, GONG, HMI), the usual mode-fitting analysis consists of fitting the 2l+1 individual m-spectra of a given multiplet (n, l) either individually or simultaneously. Such fitting methods fail to obtain reliable estimates of the mode parameters (frequency, splitting, ...) when the signal-to-noise ratio (SNR) is low, which makes those methods not suitable when one wants to look at the low-amplitude, long-lived solar p modes in the low-frequency range. Instead, Salabert et al. (2007) developed a new method to extract the mode parameters by adjusting the rotation- and structure-induced frequency shift for each m-spectrum to minimize the mode width in the m-averaged spectrum (a "collapsogram"). The m-averaged spectrum technique, applied to the spatially-resolved GONG and MDI data, appeared to be a powerful tool for low SNR modes in the low-frequency range. Another possibility to increase the SNR is to combine data from different instruments (Garcia et al. 2004a). We present here an adaptation of both techniques: the "collapsograms" applied to a combination of observations from a Sun-as-a-star instrument, GOLF, and a disk-imaged one, GONG.
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