论文标题
优化H $α$指数以识别FGK恒星中的活动信号。 H $α$和CAII H&K之间的相关性改善
Optimising the H$α$ index for the identification of activity signals in FGK stars. Improvement of the correlation between H$α$ and CaII H&K
论文作者
论文摘要
在这项工作中,我们研究了H $α$ bandPass宽度在CAII H&K和H $α$索引之间的相关性中的效果,以改善H $α$索引,以更好地识别和模拟来自活动可变性的信号。我们使用了用竖琴观察到的152个FGK矮人的样本,超过13年,足够的节奏能够检测活性代理中的旋转调制和周期。我们使用h $α$ 0.1至2.0 ANG之间的一系列带宽计算了CAII H&K和H $α$活动指数。我们研究了长时间和短时间索引时间序列之间的相关性,并分析了恒星参数,活动水平和可变性对相关性的影响。当使用狭窄的H $α$带宽时,Caii H&K和H $α$之间的相关性在短时间内和长时间都可以最大化,最大为0.6 ang。对于某些不活跃的恒星,随着活性水平的增加,H $α$线芯中的通量会增加,而线机翼中的通量随着线的变浅和更宽而减小。这些通量之间的平衡会导致恒星在使用H $α$上使用宽带的带宽时在文献中观察到的负相关性。如果使用0.6 ANG带宽,这些抗相关可能会成为正相关。使用0.6 ANG的带通来计算H $α$索引,可以最大程度地提高CAII H&K和H $α$之间的相关性。另一方面,在系外行星检测中通常使用的宽1.6 ANG的使用来识别恒星活性信号,通过在线机翼中加入通量来降低信号。面对这些结果,我们强烈建议在计算H $α$指数时使用0.6 ANG带宽,以识别太阳能型恒星中的活动旋转调制和磁性信号。 (简略)
In this work we investigate the effect of the H$α$ bandpass width in the correlation between the CaII H&K and H$α$ indices with the aim of improving the H$α$ index to better identify and model the signals coming from activity variability. We used a sample of 152 FGK dwarfs observed with HARPS for more than 13 years with enough cadence to be able to detect rotational modulations and cycles in activity proxies. We calculated the CaII H&K and H$α$ activity indices using a range of bandwidths for H$α$ between 0.1 and 2.0 Ang. We studied the correlation between the indices time series at long and short timescales and analysed the impact of stellar parameters, activity level and variability on the correlations. The correlation between CaII H&K and H$α$ both at short and long timespans is maximised when using narrow H$α$ bandwidths, with a maximum at 0.6 Ang. For some inactive stars, as the activity level increases, the flux in the H$α$ line core increases while the flux in the line wings decreases as the line becomes shallower and broader. The balance between these fluxes can cause stars to show the negative correlations observed in the literature when using a wide bandwidth on H$α$. These anti-correlations may become positive correlations if using the 0.6 Ang bandwidth. Calculating the H$α$ index using a bandpass of 0.6 Ang maximises the correlation between CaII H&K and H$α$ both at short and long timescales. On the other hand, the use of the broader 1.6 Ang, generally used in exoplanet detection to identify stellar activity signals, degrades the signal by including the flux in the line wings. In face to these results we strongly recommend the use of a 0.6 Ang bandwidth when computing the H$α$ index for the identification of activity rotational modulation and magnetic cycle signals in solar-type stars. (Abridged)