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来自DES科学验证数据的宽场透镜质量图:方法学和详细分析

Wide-Field Lensing Mass Maps from DES Science Verification Data: Methodology and Detailed Analysis

V. Vikram, C. Chang, B. Jain, D. Bacon, A. Amara, M. R. Becker, G. Bernstein, C. Bonnett, S. Bridle, D. Brout, M. Busha, J. Frieman, E. Gaztanaga, W. Hartley, M… 展开作者

V. Vikram, C. Chang, B. Jain, D. Bacon, A. Amara, M. R. Becker, G. Bernstein, C. Bonnett, S. Bridle, D. Brout, M. Busha, J. Frieman, E. Gaztanaga, W. Hartley, M. Jarvis, T. Kacprzak, A. Kovacs, O. Lahav, B. Leistedt, H. Lin, P. Melchior, H. Peiris, E. Rozo, E. Rykoff, C. Sanchez, E. Sheldon, M. A. Troxel, R. Wechsler, J. Zuntz, T. Abbott, F. B. Abdalla, R. Armstrong, M. Banerji, A. H. Bauer, A. Benoit-Levy, E. Bertin, D. Brooks, E. Buckley-Geer, D. L. Burke, D. Capozzi, A. Carnero Rosell, M. Carrasco Kind, F. J. Castander, M. Crocce, C. E. Cunha, C. B. D'Andrea, L. N. da Costa, D. L. DePoy, S. Desai, H. T. Diehl, J. P. Dietrich, J. Estrada, A. E. Evrard, A. Fausti Neto, E. Fernandez, B. Flaugher, P. Fosalba, D. Gerdes, D. Gruen, R. A. Gruendl, K. Honscheid, D. James, S. Kent, K. Kuehn, N. Kuropatkin, T. S. Li, M. A. G. Maia, M. Makler, M. March, J. Marshall, P. Martini, K. W. Merritt, C. J. Miller, R. Miquel, E. Neilsen, R. C. Nichol, B. Nord, R. Ogando, A. A. Plazas, A. K. Romer, A. Roodman, E. Sanchez, V. Scarpine, I. Sevilla, R. C. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E. C. Swanson, G. Tarle, J. Thaler, D. Thomas, A. R. Walker, J. Weller

摘要:

弱的引力透镜使我们能够重建整个天空中投影质量密度的空间分布。这些“质量图”为研究宇宙学提供了强有力的工具,因为它们探测了发光物质和暗物质。在本文中,我们提出了一个弱透镜质量图重建剪切测量在139平方英寸。从暗能量调查(DES)科学验证(SV)数据。我们比较了星系和星系团的质量分布与前景分布。重建图中的高密度与光学探测到的星系团的分布有很好的相关性。我们证明,候选超星系团和空洞沿视线可以识别,利用集群光度红移的紧密散射。我们交叉相关的质量地图与前景的星等有限的星系样本从相同的数据。我们的测量结果与N体模拟的模拟目录一致,其中包括星系,透镜和photo-z目录中统计不确定性的主要来源。互相关的统计显著性是在6.8-sigma水平,具有20弧分平滑。本研究的一个主要目标是调查系统的影响所产生的各种来源,包括PSF和photo-z的不确定性。我们从20个可能表征系统学的变量中绘制地图,并找到主成分。我们发现,系统学的透镜质量图的贡献一般是在测量的不确定性。在这项工作中,我们分析不到3%的最终区域,将被映射的DES,本文开发的工具和分析技术可以应用到即将到来的更大的数据集的调查。

英文摘要:

Weak gravitational lensing allows one to reconstruct the spatial distribution of the projected mass density across the sky. These "mass maps" provide a powerful tool for studying cosmology as they probe both luminous and dark matter. In this paper, we present a weak lensing mass map reconstructed from shear measurements in a 139 sq. deg area from the Dark Energy Survey (DES) Science Verification (SV) data. We compare the distribution of mass with that of the foreground distribution of galaxies and clusters. The overdensities in the reconstructed map correlate well with the distribution of optically detected clusters. We demonstrate that candidate superclusters and voids along the line of sight can be identified, exploiting the tight scatter of the cluster photometric redshifts. We cross-correlate the mass map with a foreground magnitude-limited galaxy sample from the same data. Our measurement gives results consistent with mock catalogs from N-body simulations that include the primary sources of statistical uncertainties in the galaxy, lensing, and photo-z catalogs. The statistical significance of the cross-correlation is at the 6.8-sigma level with 20 arcminute smoothing. A major goal of this study is to investigate systematic effects arising from a variety of sources, including PSF and photo-z uncertainties. We make maps derived from twenty variables that may characterize systematics and find the principal components. We find that the contribution of systematics to the lensing mass maps is generally within measurement uncertainties. In this work, we analyze less than 3% of the final area that will be mapped by the DES; the tools and analysis techniques developed in this paper can be applied to forthcoming larger datasets from the survey.

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