arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2302.03062astro-ph.GA
收藏

PHANGS-MUSE:邻近旋涡星系中约40000个电离星云的探测与贝叶斯分类

PHANGS-MUSE: Detection and Bayesian classification of ~40000 ionised nebulae in nearby spiral galaxies

Enrico Congiu, Guillermo A. Blanc, Francesco Belfiore, Francesco Santoro, Fabian Scheuermann, Kathryn Kreckel, Eric Emsellem, Brent Groves, Hsi-An Pan, Frank Bi… 展开作者

Enrico Congiu, Guillermo A. Blanc, Francesco Belfiore, Francesco Santoro, Fabian Scheuermann, Kathryn Kreckel, Eric Emsellem, Brent Groves, Hsi-An Pan, Frank Bigiel, Daniel A. Dale, Simon C. O. Glover, Kathryn Grasha, Oleg V. Egorov, Adam Leroy, Eva Schinnerer, Elizabeth J. Watkins, Thomas G. Williams

AI总结:

本文基于PHANGS-MUSE巡天数据构建了包含19个星系中超过40000个电离星云的最大星表,提出基于优势比的概率分类算法,克服传统二值分类局限,并识别出大量超新星遗迹,同时证明弥漫电离气体修正对稳健分类和消光测量的关键作用。

摘要:

在这项工作中,我们发布了一个新的星表,其中包含分布在PHANGS-MUSE巡天观测的19个星系中的超过40000个电离星云。这些星云使用一种新的基于模型比较的算法进行分类,该算法利用优势比原理为样本中的每个星云赋予概率性分类。由此得到的星表是目前文献中可获得的最大规模、包含多种电离星云完整光谱和空间信息的星表。我们开发这一新算法是为了解决传统分类标准的一些局限性,例如其二值性、所涉及界限的锐利性以及分类所依赖的数据量有限等问题。对星表的分析表明,该算法在选取H II区时表现良好。我们能够恢复它们的光度函数,其性质与文献中已有的结果一致。我们还识别出了一个相当显著的激波电离区群体(主要由超新星遗迹组成),其数量比目前文献中任何其他同质超新星遗迹星表大一个数量级。我们在每个星系中识别出的超新星遗迹数量与银河系及其他非常邻近源中的结果一致。然而,源探测算法的局限性导致行星状星云样本不完整,尽管它们的分类似乎是稳健的。最后,我们证明了如何对弥漫电离气体对星云光谱的贡献进行修正是获得天体稳健分类的关键,以及如何利用经DIG修正的谱线流量对消光进行正确测量,促使我们采用比在恒星形成星系中通过巴尔末减缩技术恢复E(B-V)时常用的值更高的理论Ha/Hb比值(3.03)。

英文摘要:

In this work, we present a new catalogue of >40000 ionised nebulae distributed across the 19 galaxies observed by the PHANGS-MUSE survey. The nebulae have been classified using a new model-comparison-based algorithm that exploits the odds ratio principle to assign a probabilistic classification to each nebula in the sample. The resulting catalogue is the largest catalogue containing complete spectral and spatial information for a variety of ionised nebulae available so far in the literature. We developed this new algorithm to address some of the limitations of the traditional classification criteria, such as their binarity, the sharpness of the involved limits, and the limited amount of data they rely on for the classification. The analysis of the catalogue shows that the algorithm performs well when selecting H II regions. We can recover their luminosity function, and its properties are in line with what is available in the literature. We also identify a rather significant population of shock-ionised regions (mostly composed of supernova remnants), an order of magnitude larger than any other homogeneous catalogue of supernova remnants currently available in the literature. The number of supernova remnants we identify per galaxy is in line with results in our Galaxy and other very nearby sources. However, limitations in the source detection algorithm result in an incomplete sample of planetary nebulae, even though their classification seems robust. Finally, we demonstrate how applying a correction for the contribution of the diffuse ionised gas to the nebulae's spectra is essential to obtain a robust classification of the objects and how a correct measurement of the extinction using DIG-corrected line fluxes prompts the use of a higher theoretical Ha/Hb ratio (3.03) than what is commonly used when recovering the E(B-V) via the Balmer decrement technique in massive star-forming galaxies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑