首页> 外文期刊>Bulletin of the American Physical Society >APS -Joint Fall 2017 Meeting of the Texas Section of the APS, Texas Section of the AAPT, and Zone 13 of the Society of Physics Students- Event - Effects of Self-Calibration of Intrinsic Alignment on Cosmological Parameter Constraints from Future Cosmic Shear Surveys
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APS -Joint Fall 2017 Meeting of the Texas Section of the APS, Texas Section of the AAPT, and Zone 13 of the Society of Physics Students- Event - Effects of Self-Calibration of Intrinsic Alignment on Cosmological Parameter Constraints from Future Cosmic Shear Surveys

机译:APS-APS得克萨斯分校,AAPT得克萨斯分校和物理学生学会第13区联合2017年秋季会议-事件-内在对准的自我校准对未来宇宙剪切调查产生的宇宙学参数约束的影响

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Intrinsic alignments (IA) of galaxies have been recognized as one of the most serious contaminants to weak lensing. The IA self-calibration (SC) method was shown in previous studies to be able to reduce the GI contamination by up to a factor of 10 for the 2-point and 3-point correlations. The SC method does not require the assumption of an IA model in its working and can extract the GI signal from the same photo-z survey offering the possibility to test and understand structure formation scenarios and their relationship to IA models. We study the effects of the IA SC mitigation method on the precision and accuracy of cosmological parameter constraints from future cosmic shear surveys LSST, WFIRST and Euclid. We perform analytical and numerical calculations to estimate the loss of precision and the residual bias in the best fit cosmological parameters We take into account uncertainties from photometric redshifts and the galaxy bias. We find that the confidence contours are slightly inflated from applying the SC method itself while a significant increase is due to the inclusion of the photo-z uncertainties. The bias of cosmological parameters is reduced from several-$sigma $, when IA is not corrected for, to below 1-$sigma $ after SC is applied.
机译:星系的本征比对(IA)被公认为是弱视的最严重污染物之一。先前的研究表明,IA自校准(SC)方法能够将GI污染的2点和3点相关性降低多达10倍。 SC方法不需要在工作中假设IA模型,并且可以从相同的photo-z测量中提取GI信号,从而可以测试和了解结构形成情况及其与IA模型的关系。我们从未来的宇宙剪切调查LSST,WFIRST和Euclid中研究了IA SC缓解方法对宇宙学参数约束的精度和准确性的影响。我们执行分析和数值计算,以估算最合适的宇宙学参数所造成的精度损失和剩余偏差。我们考虑了光度红移和星系偏差的不确定性。我们发现,通过应用SC方法本身,置信度轮廓略有膨胀,而由于包含了photo-z不确定性,因此显着增加了置信度。应用了SC后,宇宙学参数的偏差从未校正IA时的几σ降低到1σ以下。

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