论文标题
在注释的深图像中表征低表面亮度结构
Characterization of Low Surface Brightness structures in annotated deep images
论文作者
论文摘要
低表面亮度(LSB)恒星结构周围的表征,例如持续或过去碰撞的潮汐碎片,对于约束银河发展模型至关重要。我们的目标是获得在由数百个星系组成的样品的深层图像中鉴定出的LSB结构的定量测量。我们开发了一种在线注释工具,该工具使贡献者能够描述弥漫性扩展恒星结构的形状,以及人工制品或前景结构。所有参数都会自动存储在数据库中,该数据库可以查询以检索定量测量值。我们注释了附近352个大规模星系的LSB结构,并用CFHT获得了深层图像,作为两个大程序的一部分:Matlas和unions/cfis。每个LSB结构都根据其可能的性质进行描绘和标记:恒星壳,与破坏的卫星相关的流,主要合并,幽灵反射或卷心的尾巴相关的流。从包含8441个注释的数据库中,计算了面积,尺寸,中位表面亮度以及与228个结构的主机的距离。结果证实了以下事实:正如数值模拟所预期的那样,定义为流的潮汐结构比尾部薄。另外,潮汐尾巴的表面亮度似乎比流(约1个磁磁)更高,这可能与两种类型的碰撞碎屑的生存时间不同。我们没有检测到比27.5 mag.arcsec $^{ - 2} $的任何潮汐功能,而我们的调查的标称表面亮度限制范围在28.3至29 mag.arcsec $^{ - 2} $之间,这一差异在估算未来Surve sude sude sudey ls bls busteries的敏感性时需要考虑到这一差异。我们观察到的LSB结构的注释数据库可用于定量分析,并作为机器学习算法的培训集(缩写)。
The characterization of Low Surface Brightness (LSB) stellar structures around galaxies such as tidal debris of on-going or past collisions is essential to constrain models of galactic evolution. Our goal is to obtain quantitative measurements of LSB structures identified in deep images of samples consisting of hundreds of galaxies. We developed an online annotation tool that enables contributors to delineate the shapes of diffuse extended stellar structures, as well as artefacts or foreground structures. All parameters are automatically stored in a database which may be queried to retrieve quantitative measurements. We annotated LSB structures around 352 nearby massive galaxies with deep images obtained with the CFHT as part of two large programs: MATLAS and UNIONS/CFIS. Each LSB structure was delineated and labeled according to its likely nature: stellar shells, streams associated to a disrupted satellite, tails formed in major mergers, ghost reflections or cirrus. From our database containing 8441 annotations, the area, size, median surface brightness and distance to the host of 228 structures were computed. The results confirm the fact that tidal structures defined as streams are thinner than tails, as expected by numerical simulations. In addition, tidal tails appear to exhibit a higher surface brightness than streams (by about 1 mag), which may be related to different survival times for the two types of collisional debris. We did not detect any tidal feature fainter than 27.5 mag.arcsec$^{-2}$, while the nominal surface brightness limits of our surveys range between 28.3 and 29 mag.arcsec$^{-2}$, a difference that needs to be taken into account when estimating the sensitivity of future surveys to identify LSB structures. Our annotation database of observed LSB structures may be used for quantitative analysis and as a training set for machine learning algorithms (abbreviated).