利用从SDSS DR7中识别出的非球形空洞量化环境对星系属性的影响
Quantifying Environmental Effects on Galaxy Properties using Non-spherical Voids Identified from SDSS DR7
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中文总结 AI 辅助
该研究利用SDSS DR7目录，通过Voronoi镶嵌和分水岭算法识别非球形空洞及分类空洞星系，对比其与非空洞星系属性差异，按恒星质量 bins 划分并分类星系计算比例，发现低质量系统环境影响更强，为量化环境对星系演化影响提供可靠方法。
中文摘要 AI 辅助
宇宙空洞为研究星系属性的环境影响提供了独特的低密度区域。我们使用SDSS DR7目录，通过Voronoi镶嵌和分水岭算法识别非球形空洞，并根据局部体积对空洞星系进行分类。比较发现，用此方法分类的空洞星系在质量、亮度、颜色和特定恒星形成率等方面与非空洞星系及所有星系样本存在系统性差异。我们将空洞和非空洞星系按恒星质量 bins 划分，进一步分类后计算不同类型星系的比例，结果表明在低质量系统中环境影响更强。这些结果表明基于局部体积对非球形空洞中的空洞星系进行分类，为量化低密度环境对星系演化的影响提供了一种可靠方法。
英文摘要
Cosmic voids provide a distinct low-density region for studying the environmental effects of galaxy properties. Using the SDSS DR7 catalog, we identify non-spherical voids via Voronoi tessellation and the watershed algorithm, and classify void galaxies based on their local volume. We compare and find that void galaxies classified by this method are systematically less massive, fainter, bluer, and have higher specific star formation rate (sSFR) than non-void galaxies and all galaxy samples. We then divide void and non-void galaxies into stellar mass bins to focus on the environmental dependence of $g-r$ color and sSFR. By further classifying galaxies into blue/red and star-forming/quiescent populations, we calculate the ratio of blue to red and star-forming to quiescent for void and non-void galaxies separately. Comparing the ratio of the void value to the non-void value for both metrics presents an overall decreasing trend with stellar mass $M_*$ over the $9.4-10.4$ range in $\log[M_*/\mathrm{M}_\odot]$, indicating a stronger environmental effect in lower-mass systems. These results show that our classification of void galaxies in non-spherical voids based on local volume offers a robust approach for quantifying the influence of underdense environments on galaxy evolution.
发表机构
- Shanghai Jiao Tong University（上海交通大学）
- National Astronomical Observatories, Chinese Academy of Sciences（中国科学院国家天文台）
- University of Chinese Academy of Sciences（中国科学院大学）
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