完整性III：在星系红移巡天中识别特征系统学和演化
Completeness III: identifying characteristic systematics and evolution in galaxy redshift surveys
摘要：
本文继续我们的非参数检验的发展，用于分析星等红移巡天的视星等的完整性。这第三个和最后一个文件，在我们的完整性系列的目的是双重的：首先，我们探讨如何某些形式的不完整性为一个给定的通量有限的星系红移调查将体现在稳健的Tc和Tv完整性估计在我们以前的论文介绍自己;其次，我们提供了一个全面的误差传播这些估计。通过使用真实的调查和蒙特卡洛模拟调查数据，我们发现了不同的，特征的行为的Tc和Tv估计识别不完整性的形式，例如，在一个特定的震级范围内的丢失对象。相反，我们已经确定了“过度”完整性的特征，在这种情况下，一项调查包含一个小区域的明显规模，可能有太多的对象相对于其余的数据集。我们还演示了如何不完整的光度演变导致可以识别，并提供了一个框架，使用我们的估计作为一个强大的工具约束模型的光度演变。最后，我们探讨了Tc和Tv的误差传播。这建立在完备性II的基础上，允许定义这些估计量及其误差，通过一个自适应程序，考虑到抽样误差对观测到的视星等和红移分布的影响。
英文摘要：
This paper continues our development of non-parametric tests for analysing the completeness in apparent magnitude of magnitude-redshift surveys. The purpose of this third and final paper in our completeness series is two-fold: firstly we explore how certain forms of incompleteness for a given flux-limited galaxy redshift survey would manifest themselves in the ROBUST Tc and Tv completeness estimators introduced in our earlier papers; secondly we provide a comprehensive error propagation for these estimators. By using both real surveys and Monte Carlo mock survey data, we have found distinct, characteristic behaviour of the Tc and Tv estimators which identify incompleteness in the form of e.g. missing objects within a particular magnitude range. Conversely we have identified signatures of `over' completeness, in cases where a survey contains a small region in apparent magnitude that may have too many objects relative to the rest of the data set. We also demonstrate how incompleteness resulting from luminosity evolution can be identified and provide a framework for using our estimators as a robust tool for constraining models of luminosity evolution. Finally we explore the error propagation for Tc andTv. This builds on Completeness II by allowing the definition of these estimators, and their errors, via an adaptive procedure that accounts for the effects of sampling error on the observed distribution of apparent magnitude and redshift in a survey.
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。
