G10/COSMOS：使用LAMBDAR的38波段（远紫外至远红外）全色光度法
G10/COSMOS: 38 band (far-UV to far-IR) panchromatic photometry using LAMBDAR
摘要：
我们提出了一个一致的总通量目录的$\sim$ 1度$^2$子集的COSMOS区（R.A. $\in [149.55\degr, 150.65\degr]$，DEC $\in [1.80\degr, 2.73\degr]$），在从远紫外到远红外的38个波段中几乎完全覆盖。我们为128，304个i <24.5的天体制作了孔径匹配测光，其方式相当于Wright et al.（2016）从低红移（z <0.4）星系和质量大会（GAMA）调查中获得的目录。该目录基于GALEX，CFHT，Subaru，VISTA，Spitzer和Herschel的公开可用图像，包含每个波段中每个对象的强大总通量测量或上限，并补充了我们对同一区域中公开可用光谱的重新缩减。我们进行了一些一致性检查，证明我们的目录与现有数据集相当，包括最近的COSMOS 2015目录（Laigle et al. 2016）。我们还发布了更新的Davies et al.（2015）光谱目录，其中包含新的光谱和光度红移数据集。目录可在www.example.com下载。我们的分析是优化的全色分析在整个波长范围内，并直接比较GAMA，从而允许测量星系演化为0 <z <1，同时最大限度地减少系统误差导致不同的数据减少方法。
英文摘要：
We present a consistent total flux catalogue for a $\sim$1 deg$^2$ subset of the COSMOS region (R.A. $\in [149.55\degr, 150.65\degr]$, DEC $\in [1.80\degr, 2.73\degr]$) with near-complete coverage in 38 bands from the far-ultraviolet to the far-infrared. We produce aperture matched photometry for 128,304 objects with i < 24.5 in a manner that is equivalent to the Wright et al. (2016) catalogue from the low-redshift (z < 0.4) Galaxy and Mass Assembly (GAMA) survey. This catalogue is based on publicly available imaging from GALEX, CFHT, Subaru, VISTA, Spitzer and Herschel, contains a robust total flux measurement or upper limit for every object in every waveband and complements our re-reduction of publicly available spectra in the same region. We perform a number of consistency checks, demonstrating that our catalogue is comparable to existing data sets, including the recent COSMOS2015 catalogue (Laigle et al. 2016). We also release an updated Davies et al. (2015) spectroscopic catalogue that folds in new spectroscopic and photometric redshift data sets. The catalogues are available for download at http://cutout.icrar.org/G10/dataRelease.php. Our analysis is optimised for both panchromatic analysis over the full wavelength range and for direct comparison to GAMA, thus permitting measurements of galaxy evolution for 0 < z < 1 while minimising the systematic error resulting from disparate data reduction methods.
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