论文标题
关于红团巨头混合的矛盾影响
On the Paradoxical Impact of Blending by Red Clump Giants
论文作者
论文摘要
讨论了RCG（红色团块巨头或相对富含金属的红色水平分支星星）的混合影响，因为它与RRAB和经典的头孢虫有关，并且总是建立改进的距离尺度。对Ogle Magellanic Cloud变量的分析重申了与RCG融合可能会有利地将远程阿加拉外星恒星融合到可检测性范围内。具体而言，对麦芽岩云RRAB和RCG的模拟融合了在振幅刻度空间中很容易观察到的明亮的非规范趋势（$ i_c $ vs.〜 $ a__ {i_c} $）。相反，经典的头孢虫和RCG之间的较大幅度偏移导致后者的影响很大。 The relative invariance of a Wesenheit function's slope to metallicity (e.g., $W_{VI_c}$) implies that a deviation from the trend could reveal blending and photometric inaccuracies (e.g., standardization), as blending by RCGs (a proxy of an evolved red stellar demographic) can flatten period-Wesenehit relations owing to the increased impact on较短的较短的周期。这可以部分解释较浅的推断的Wesenheit功能和过度估计的$ H_0 $值。希望识别和利用混合的共识框架是可取的，因为目前从不同团队中的$ H_0 $估计值在不匀浆不同的方法的情况下不知不觉地利用（例如，没有将较高的$ \ simeq 0的混合校正校正。
The impact of blending by RCGs (red clump giants, or relatively metal-rich red horizontal branch stars) is discussed as it relates to RRab and classical Cepheids, and invariably establishing an improved distance scale. An analysis of OGLE Magellanic Cloud variables reaffirms that blending with RCGs may advantageously thrust remote extragalactic stars into the range of detectability. Specifically, simulations of Magellanic Cloud RRab and RCG blends partly reproduce bright non-canonical trends readily observed in amplitude-magnitude space ($I_c$ vs.~$A_{I_c}$). Conversely, the larger magnitude offset between classical Cepheids and RCGs causes the latter's influence to be challenging to address. The relative invariance of a Wesenheit function's slope to metallicity (e.g., $W_{VI_c}$) implies that a deviation from the trend could reveal blending and photometric inaccuracies (e.g., standardization), as blending by RCGs (a proxy of an evolved red stellar demographic) can flatten period-Wesenehit relations owing to the increased impact on less-luminous shorter-period Cepheids. That could partly explain both a shallower inferred Wesenheit function and over-estimated $H_0$ values. A consensus framework to identify and exploit blending is desirable, as presently $H_0$ estimates from diverse teams are unwittingly leveraged without homogenizing the disparate approaches (e.g., no blending correction to a sizable $\simeq 0.^{\rm m}3$).
