The Next Generation Virgo Cluster Survey. XV. The photometric redshift estimation for background sources
A. Raichoor, S. Mei, T. Erben, H. Hildebrandt, M. Huertas-Company, O. Ilbert, R. Licitra, N. M. Ball, S. Boissier, A. Boselli, Y. -T. Chen, P. Côté, J. -C. Cuil… 展开作者
A. Raichoor, S. Mei, T. Erben, H. Hildebrandt, M. Huertas-Company, O. Ilbert, R. Licitra, N. M. Ball, S. Boissier, A. Boselli, Y. -T. Chen, P. Côté, J. -C. Cuillandre, P. A. Duc, P. R. Durrell, L. Ferrarese, P. Guhathakurta, S. D. J. Gwyn, J. J. Kavelaars, A. Lançon, C. Liu, L. A. MacArthur, M. Muller, R. P. Muñoz, E. W. Peng, T. H. Puzia, M. Sawicki, E. Toloba, L. Van Waerbeke, D. Woods, H. Zhang
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Accepted for publication in ApJS. 24 pages, 21 Figures (some with degraded quality to fit the arxiv size limit), 6 Tables
The Next Generation Virgo Cluster Survey is an optical imaging survey covering 104 deg^2 centered on the Virgo cluster. Currently, the complete survey area has been observed in the u*giz-bands and one third in the r-band. We present the photometric redshift estimation for the NGVS background sources. After a dedicated data reduction, we perform accurate photometry, with special attention to precise color measurements through point spread function-homogenization. We then estimate the photometric redshifts with the Le Phare and BPZ codes. We add a new prior which extends to iAB = 12.5 mag. When using the u*griz-bands, our photometric redshifts for 15.5 \le i \lesssim 23 mag or zphot \lesssim 1 galaxies have a bias |Δz| < 0.02, less than 5% outliers, and a scatter σ_{outl.rej.} and an individual error on zphot that increase with magnitude (from 0.02 to 0.05 and from 0.03 to 0.10, respectively). When using the u*giz-bands over the same magnitude and redshift range, the lack of the r-band increases the uncertainties in the 0.3 \lesssim zphot \lesssim 0.8 range (-0.05 < Δz < -0.02, σ_{outl.rej} ~ 0.06, 10-15% outliers, and zphot.err. ~ 0.15). We also present a joint analysis of the photometric redshift accuracy as a function of redshift and magnitude. We assess the quality of our photometric redshifts by comparison to spectroscopic samples and by verifying that the angular auto- and cross-correlation function w(θ) of the entire NGVS photometric redshift sample across redshift bins is in agreement with the expectations.
Reconstructing galaxy fundamental distributions and scaling relations from photometric redshift surveys. Applications to the SDSS early-type sample
与光度红移而不是光谱红移相关的噪声距离估计导致对光度的错误估计，并产生相关的对大小的错误估计。我们考虑一个来自SDSS DR 6的早期星系样本，它的光谱和光度信息都是可用的，并应用V_max方法的推广来校正这些偏差。我们表明，我们的技术恢复真正的红移，幅度和大小分布，以及真正的大小-光度关系。我们发现，仅使用10%的光谱信息随机分布在我们的目录是足够的重建是准确的约3%，当光度红移误差为dz = 0.038。然后，我们解决的问题，我们的方法扩展到深红移目录，只有光度信息。除了这里概述的具体应用外，当至少涉及一个距离依赖量时，我们的技术会影响更广泛的研究。这对下一代的调查特别重要，其中一些调查只有光度信息。
The Next Generation Virgo cluster Survey (NGVS). XXV. Fiducial panchromatic colors of Virgo core globular clusters and their comparison to model predictions
Photometric Redshift Estimation with Galaxy Morphology using Self-Organizing Maps
我们使用多波段光学和近红外光度观测的星系在宇宙大会近红外深河外遗留调查（CANDELS）预测光度红移使用人工神经网络。对于GOODS-S场中约1000个星系的样本，多波段观测跨度超过0.39微米至8.0微米，哈勃空间望远镜宽视场相机3号观测可对其进行稳健的尺寸测量。我们使用自组织映射（SOM）来映射多维光度和星系大小观测，同时利用现有的光谱红移在0 < z < 2的独立训练和测试集。我们表明，使用光度和形态数据导致红移估计可比的红移测量从SED建模和自组织地图没有形态测量。
A catalog of photometric redshift and the distribution of broad galaxy morphologies
我们创建了一个约3，000，000个SDSS星系的光度红移目录，并通过它们的广泛形态进行了注释。测光红移是通过测试和比较几种模式识别算法和变量选择策略来优化的，这些算法和变量选择策略是在目录中具有光谱的星系子集上进行训练和测试的。目录中的星系亮度大于18等，彼得罗相半径大于5.5“。这些天体中的大多数都没有包含在以前的SDSS测光红移星表中，例如SDSS DR 12的photoz表。对星表的分析表明，星表中视觉上呈螺旋状的星系数量增加，直到红移达到~0.085，在那里达到峰值并开始减少。它还表明，与椭圆星系相比，螺旋星系的数量随着红移的增加而减少。该目录可在https://figshare.com/articles/Morphology_and_photometric_redshift_catalog/4833593上公开获取
Joint probabilistic inference of galaxy redshifts and rest-frame spectra from photometric fluxes with latent diffusion
Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology（高能物理研究所，巴塞罗那科学与技术学院）；Port d’Informació Científica (PIC)（科学信息港）
Performance of Photometric Template Fitting for Ultra-High Redshift Galaxies
Cosmic Dawn Center (DAWN)（宇宙黎明中心）；Niels Bohr Institute, University of Copenhagen（哥本哈根大学尼尔斯·玻尔研究所）；Department of Physics and Astronomy, University of Missouri（密苏里大学物理与天文学系）；DARK Cosmology Center, University of Copenhagen（哥本哈根大学暗宇宙学中心）；California Institute of Technology（加州理工学院）
Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments
