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arXiv 1509.01276astro-ph.GA
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Stripe 82 Massive Galaxy Project I:目录构建

The Stripe 82 Massive Galaxy Project I: Catalog Construction

Kevin Bundy, Alexie Leauthaud, Shun Saito, Adam Bolton, Yen-Ting Lin, Claudia Marason, Robert C. Nichol, Donald P. Schneider, Daniel Thomas, David A. Wake

摘要:

条纹82大质量星系表(Stripe 82-MGC)是迄今为止建立的体积最大的z~1以上星系的恒星质量限制样本。S82-MGC跨度139.4 deg 2,包括41,770个星系的质量有限样本,log Mstar > 11.2到z~0.7,采样体积为0.3 Gpc 3,大致相当于斯隆数字巡天I/II(SDSS-I/II)z < 0.15 MAIN样本的体积。该目录建立在三个支柱的调查数据上:SDSS Stripe 82 Coadd测光,达到r-波段23.5 AB的星等,YJHK测光来自英国红外深空巡天(UKIDSS)大面积巡天(UKIDSS)的20等(AB)深度,以及来自SDSS-I/II和重子振荡光谱巡天(BOSS)的70,000多个光谱星系红移。我们描述了目录的建设和验证,生产9波段匹配孔径测光,测试现有的和新估计的光度红移需要补充光谱红移的55%的对数Mstar > 11.2的样本,和几何掩蔽。我们提供近红外为基础的恒星质量估计,并将这些与以前的估计进行比较。所有目录产品都是公开提供的。S82-MGC不仅解决了以前在大质量星系演化研究中的统计局限性,而且开始应对即将到来的宽视场成像调查时代的固有数据挑战。

英文摘要:

The Stripe 82 Massive Galaxy Catalog (S82-MGC) is the largest-volume stellar mass-limited sample of galaxies beyond z~1 constructed to date. Spanning 139.4 deg2, the S82-MGC includes a mass-limited sample of 41,770 galaxies with log Mstar > 11.2 to z~0.7, sampling a volume of 0.3 Gpc3, roughly equivalent to the volume of the Sloan Digital Sky Survey-I/II (SDSS-I/II) z < 0.15 MAIN sample. The catalog is built on three pillars of survey data: the SDSS Stripe 82 Coadd photometry which reaches r-band magnitudes of 23.5 AB, YJHK photometry at depths of 20th magnitude (AB) from the UK Infrared Deep Sky Survey (UKIDSS) Large Area Survey, and over 70,000 spectroscopic galaxy redshifts from SDSS-I/II and the Baryon Oscillation Spectroscopic Survey (BOSS). We describe the catalog construction and verification, the production of 9-band matched aperture photometry, tests of existing and newly estimated photometric redshifts required to supplement spectroscopic redshifts for 55% of the log Mstar > 11.2 sample, and geometric masking. We provide near-IR based stellar mass estimates and compare these to previous estimates. All catalog products are made publicly available. The S82-MGC not only addresses previous statistical limitations in high-mass galaxy evolution studies but begins tackling inherent data challenges in the coming era of wide-field imaging surveys.

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