论文标题
对星系中多尺度金属性变化的地理分析[ii]:通过通用kriging预测HII和弥漫性电离气体区域的金属性
A geostatistical analysis of multiscale metallicity variations in galaxies [II]: Predicting the metallicities of Hii and diffuse ionised gas regions via universal kriging
论文作者
论文摘要
无法使用强发射线诊断来确定弥散离子化气体(DIG)的金属性,该诊断是经过校准以计算HII区域的金属性的。因此,来自积分场光谱法(IFS)数据的分辨金属图在很大程度上不完整。在本文(系列的第二个)中,我们介绍了通用kriging的地统计技术,该技术允许从HII区域测得的金属性重建星系的完整2D金属性分布,这考虑了附近数据点之间的空间相关性。我们使用此方法使用台风/棱镜调查中的数据来构建局部螺旋星系NGC 5236的高保真金属图。我们发现在分离高达0.4-1.2 kpc的HII区域的金属性上显着相关。使用此方法构建的预测是使用HII区域的交叉验证测试的,我们表明它们的表现优于基于金属性梯度的插值明显优于插值。此外,我们使用Kriging来预测以DIG发射为主的区域中的金属性,考虑到具有高分辨率(<100pc)金属图的七个其他螺旋星系。我们将Kriging地图与新的电离校正计算的挖掘金属性进行了比较,并发现此类校正对任何单个星系的系统偏移最大为$ \ pm0.1 $ dex,该样品的散布为0.02-0.07 DEX。总体而言,我们建议通用kriging以及校准的地统计模型,是推断局部螺旋星系中挖掘主导区域的金属性的优越方法,这进一步证明了将地列分解方法应用于空间分辨的星系观测的潜力。
The metallicity of diffuse ionised gas (DIG) cannot be determined using strong emission line diagnostics, which are calibrated to calculate the metallicity of Hii regions. Because of this, resolved metallicity maps from integral field spectroscopy (IFS) data remain largely incomplete. In this paper (the second of a series), we introduce the geostatistical technique of universal kriging, which allows the complete 2D metallicity distribution of a galaxy to be reconstructed from metallicities measured at Hii regions, accounting for spatial correlations between nearby data points. We apply this method to construct high-fidelity metallicity maps of the local spiral galaxy NGC 5236 using data from the TYPHOON/PrISM survey. We find significant correlation in the metallicity of Hii regions separated by up to 0.4-1.2 kpc. Predictions constructed using this method were tested using cross-validation in Hii regions, and we show that they outperform significantly interpolation based on metallicity gradients. Furthermore, we apply kriging to predict the metallicities in regions dominated by DIG emission, considering seven additional spiral galaxies with high resolution (<100pc) metallicity maps. We compare kriging maps to DIG metallicities computed with novel ionisation corrections, and find that such corrections introduce a systematic offset of up to $\pm0.1$ dex for any individual galaxy, with a scatter of 0.02-0.07 dex for the sample. Overall we recommend universal kriging, together with a calibrated geostatistical model, as the superior method for inferring the metallicities of DIG-dominated regions in local spiral galaxies, demonstrating further the potential of applying geostatistical methods to spatially resolved galaxy observations.