FERENGI：从SDSS到GEMS、STAGES和COSMOS的红移星系
FERENGI: Redshifting galaxies from SDSS to GEMS, STAGES and COSMOS
摘要：
我们描述了使用一组~100 SDSS低红移（v<7000 km/s）图像作为输入，在0.1<z<1.1范围内人工“红移”星系的创建。其目的是为GEMS和COSMOS星系演化项目生成一组不同形态和大范围红移的星系真实图像。这个训练集允许其他研究调查和量化宇宙学红移对确定星系形态，扭曲和其他星系属性的影响，这些属性对分辨率，表面亮度和带通问题可能敏感。我们使用SDSS在u，g，r，i，z滤波器波段的星系图像作为输入，并从这些数据中计算新的星系图像，类似于位于红移0.1<z<1.1的相同星系，并使用哈勃太空望远镜高级巡天相机（HST ACS）进行观察。在这个过程中，我们考虑到角尺寸的变化，宇宙学表面亮度变暗，和光谱的变化。后者是通过插值的光谱能量分布，是适合输入图像上的像素到像素的基础上实现的。为特定的HST ACS点扩散函数和用于GEMS（F606 W和F850 LP）和COSMOS（F814 W）的滤波器创建输出图像。将所有图像合并到所需的像素网格上（GEMS为0.03”，COSMOS为0.05”），并校正为适当的点扩散函数。根据两个项目的数据质量添加噪声，并将图像添加到真实数据图像的空天片上。我们在网站上提供这些数据集，以及代码- FERENGI：“附近星系图像群的完整和有效的红移”-为其他红移和/或仪器生成数据集。
英文摘要：
We describe the creation of a set of artificially "redshifted" galaxies in the range 0.1<z<1.1 using a set of ~100 SDSS low redshift (v<7000 km/s) images as input. The intention is to generate a training set of realistic images of galaxies of diverse morphologies and a large range of redshifts for the GEMS and COSMOS galaxy evolution projects. This training set allows other studies to investigate and quantify the effects of cosmological redshift on the determination of galaxy morphologies, distortions and other galaxy properties that are potentially sensitive to resolution, surface brightness and bandpass issues. We use galaxy images from the SDSS in the u, g, r, i, z filter bands as input, and computed new galaxy images from these data, resembling the same galaxies as located at redshifts 0.1<z<1.1 and viewed with the Hubble Space Telescope Advanced Camera for Surveys (HST ACS). In this process we take into account angular size change, cosmological surface brightness dimming, and spectral change. The latter is achieved by interpolating a spectral energy distribution that is fit to the input images on a pixel-to-pixel basis. The output images are created for the specific HST ACS point spread function and the filters used for GEMS (F606W and F850LP) and COSMOS (F814W). All images are binned onto the desired pixel grids (0.03" for GEMS and 0.05" for COSMOS) and corrected to an appropriate point spread function. Noise is added corresponding to the data quality of the two projects and the images are added onto empty sky pieces of real data images. We make these datasets available from our website, as well as the code - FERENGI: "Full and Efficient Redshifting of Ensembles of Nearby Galaxy Images" - to produce datasets for other redshifts and/or instruments.
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。
