CARS：CFHTLS档案研究调查;从37平方米的五波段多色数据。°的CFHTLS范围内的观测
CARS: the CFHTLS-Archive-Research Survey; I. Five-band multi-colour data from 37 sq. deg. CFHTLS-Wide observations
摘要：
我们提出了CFHTLS档案研究调查（CARS）。这是一个基于CFHT遗产调查公共档案图像的虚拟多色调查。我们在CARS中的主要科学兴趣是从低到高红移的星系团的光学搜索以及随后的光度和弱引力透镜技术的研究。作为该项目的第一步，我们提出了多色目录从37平方米。CFHTLS-Wide组件的度数。我们的目标是创建天体测量和光度校准良好的共同添加的图像。第二个目标是五波段（u*，g '，r'，i '，z'）多波段目录，重点是对物体颜色的可靠估计。这些随后被用于光度红移估计。本文详细介绍了数据处理、多色星表的建立和测光红移的估算。此外，我们采用了一种新的技术，角星系交叉关联函数的研究的基础上，量化的可靠性photo-z的。我们的高置信度照片Z样本的准确性（每平方米10-15个星系）。arcmin）被估计为$σ_{Δ_z/(1+z)}\approx 0.04-0.05$，直到i ′ <24，通常只有1-3%的离群值。感兴趣的用户可以通过向作者提出请求来访问我们的数据。
英文摘要：
We present the CFHTLS-Archive-Research Survey (CARS). It is a virtual multi-colour survey based on public archive images from the CFHT-Legacy-Survey. Our main scientific interests in CARS are optical searches for galaxy clusters from low to high redshift and their subsequent study with photometric and weak-gravitational lensing techniques. As a first step of the project we present multi-colour catalogues from 37 sq. degrees of the CFHTLS-Wide component. Our aims are to create astrometrically and photometrically well calibrated co-added images. Second goal are five-band (u*, g', r', i', z') multi-band catalogues with an emphasis on reliable estimates for object colours. These are subsequently used for photometric redshift estimates. The article explains in detail data processing, multi-colour catalogue creation and photometric redshift estimation. Furthermore we apply a novel technique, based on studies of the angular galaxy cross-correlation function, to quantify the reliability of photo-z's. The accuracy of our high-confidence photo-z sample (10-15 galaxies per sq. arcmin) is estimated to $σ_{Δ_z/(1+z)}\approx 0.04-0.05$ up to i'<24 with typically only 1-3% outliers. Interested users can obtain access to our data by request to the authors.
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。
