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arXiv 2203.02565astro-ph.GA
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SDSS IV MaNGA:DR15样品的目视形态学和统计学表征

SDSS IV MaNGA: Visual Morphological and Statistical Characterization of the DR15 sample

J. A. Vázquez-Mata, H. M. Hernández-Toledo, V. Avila-Reese, M. Herrera-Endoqui, A. Rodríguez-Puebla, M. Cano-Díaz, I. Lacerna, L. A. Martínez-Vázquez, R. Lane

摘要:

我们提出了一个详细的视觉形态分类的4614 MANGA星系SDSS数据发布15,使用图像马赛克从组合的R波段(SDSS和更深的DESI遗产调查)图像和数字后处理。我们区分13哈勃类型,并确定酒吧和明亮的潮汐碎片的存在。修正后的MANGA样本体积完整性,我们计算的形态分数,双变量分布的类型和恒星质量M*-在那里我们认识到一个形态过渡“谷”周围S 0a-Sa类型-和变化的g-i颜色和亮度加权年龄在这个分布。我们发现酒吧在46.8%的星系,目前在所有哈勃类型晚于S 0。这一部分相当于一个大的因素~2时,与其他作品相比,在共同的样本。我们检测到14%的星系潮汐功能,随着M* 和形态变化的比例。对于355个星系,分类是不确定的;它们在视觉上是暗淡的,大多数是低/中等质量,低浓度和盘状的。我们的形态学分类同意与其他作品的样品共同的,虽然出现了一些特殊的差异,表明我们的图像程序,使我们能够识别丰富的附加值信息相比,基于SDS的先前的估计。基于我们的分类,我们还提出了一个替代标准的E-S 0分离,在结构的半长半短轴与凸起总轻比(b/a-B/T)和浓度与半长半短轴(C-b/a)空间。

英文摘要:

We present a detailed visual morphological classification for the 4614 MaNGA galaxies in SDSS Data Release 15, using image mosaics generated from a combination of r-band (SDSS and deeper DESI Legacy Surveys) images and their digital post-processing. We distinguish 13 Hubble types and identify the presence of bars and bright tidal debris. After correcting the MaNGA sample for volume completeness, we calculate the morphological fractions, the bi-variate distribution of type and stellar mass M*-where we recognise a morphological transition "valley" around S0a-Sa types- and the variations of the g-i colour and luminosity-weighted age over this distribution. We identified bars in 46.8% of galaxies, present in all Hubble types later than S0. This fraction amounts to a factor ~2 larger when compared with other works for samples in common. We detected 14% of galaxies with tidal features, with the fraction changing with M* and morphology. For 355 galaxies, the classification was uncertain; they are visually faint, mostly of low/intermediate masses, low concentrations, and disky in nature. Our morphological classification agrees well with other works for samples in common, though some particular differences emerge, showing that our image procedures allow us to identify a wealth of added value information as compared to SDSS-based previous estimates. Based on our classification, we also propose an alternative criteria for the E-S0 separation, in the structural semi-major to semi-minor axis versus bulge to total light ratio (b/a-B/T) and concentration versus semi-major to semi-minor axis (C-b/a) space.

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。

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