arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 2003.10454astro-ph.GAastro-ph.CO
收藏

在弱透镜巡天红移分布的直接校准中光谱不完全性的影响

The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys

W. G. Hartley, C. Chang, S. Samani, A. Carnero Rosell, T. M. Davis, B. Hoyle, D. Gruen, J. Asorey, J. Gschwend, C. Lidman, K. Kuehn, A. King, M. M. Rau, R. H. W… 展开作者

W. G. Hartley, C. Chang, S. Samani, A. Carnero Rosell, T. M. Davis, B. Hoyle, D. Gruen, J. Asorey, J. Gschwend, C. Lidman, K. Kuehn, A. King, M. M. Rau, R. H. Wechsler, J. DeRose, S. R. Hinton, L. Whiteway, T. M. C. Abbott, M. Aguena, S. Allam, J. Annis, S. Avila, G. M. Bernstein, E. Bertin, S. L. Bridle, D. Brooks, D. L. Burke, M. Carrasco Kind, J. Carretero, F. J. Castander, R. Cawthon, M. Costanzi, L. N. da Costa, S. Desai, H. T. Diehl, J. P. Dietrich, B. Flaugher, P. Fosalba, J. Frieman, J. Garcia-Bellido, E. Gaztanaga, D. W. Gerdes, R. A. Gruendl, G. Gutierrez, D. L. Hollowood, K. Honscheid, D. J. James, S. Kent, E. Krause, N. Kuropatkin, O. Lahav, M. Lima, M. A. G. Maia, J. L. Marshall, P. Melchior, F. Menanteau, R. Miquel, R. L. C. Ogando, A. Palmese, F. Paz- Chinchon, A. A. Plazas, A. Roodman, E. S. Rykoff, E. Sanchez, V. Scarpine, M. Schubnell, S. Serrano, I. Sevilla-Noarbe, M. Smith, M. Soares-Santos, E. Suchyta, G. Tarle, M. A. Troxel, D. L. Tucker, T. N. Varga, J. Weller, R. D. Wilkinson

摘要:

获得星系红移的精确分布是弱透镜宇宙学实验的一个关键方面。用于估计和验证红移分布的方法之一是对光谱样品施加权重,使得它们的加权光度分布与目标样品匹配。在这项工作中,我们估计的\textit{selection bias}的红移,在这个过程中引入。我们这样做,通过模拟组装光谱样品的过程(包括分配的置信标志),并突出光谱目标选择和红移故障的影响。我们使用的第一年(Y1)弱透镜分析DES作为一个例子数据集,但其影响推广到所有类似的弱透镜调查。我们发现,使用色切是不提供给弱透镜星系可以引入偏差的$Δ~z\sim0.015$在不同的红移间隔的加权平均红移。为了评估光谱样本中不完整性的影响,我们只选择具有高置信度标志的物体,并将加权平均红移与真实平均值进行比较。我们发现,平均红移的DES Y1弱透镜样本通常是有偏的$Δ~z=0.005-0.05$水平后,加权应用。我们发现的偏差可以有任何一个符号,这取决于所考虑的样本和红移间隔。对于最高的红移面元,偏差大于其他DES Y1红移校准方法的不确定性,证明了不使用这种方法进行红移估计的决定。我们讨论了几种方法来减轻这种偏见。

英文摘要:

Obtaining accurate distributions of galaxy redshifts is a critical aspect of weak lensing cosmology experiments. One of the methods used to estimate and validate redshift distributions is apply weights to a spectroscopic sample so that their weighted photometry distribution matches the target sample. In this work we estimate the \textit{selection bias} in redshift that is introduced in this procedure. We do so by simulating the process of assembling a spectroscopic sample (including observer-assigned confidence flags) and highlight the impacts of spectroscopic target selection and redshift failures. We use the first year (Y1) weak lensing analysis in DES as an example data set but the implications generalise to all similar weak lensing surveys. We find that using colour cuts that are not available to the weak lensing galaxies can introduce biases of $Δ~z\sim0.015$ in the weighted mean redshift of different redshift intervals. To assess the impact of incompleteness in spectroscopic samples, we select only objects with high observer-defined confidence flags and compare the weighted mean redshift with the true mean. We find that the mean redshift of the DES Y1 weak lensing sample is typically biased at the $Δ~z=0.005-0.05$ level after the weighting is applied. The bias we uncover can have either sign, depending on the samples and redshift interval considered. For the highest redshift bin, the bias is larger than the uncertainties in the other DES Y1 redshift calibration methods, justifying the decision of not using this method for the redshift estimations. We discuss several methods to mitigate this bias.

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。

↑