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arXiv 0705.1437astro-ph
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空间弱透镜层析照相术的Photo-z:光学和近红外测光的作用

Photo-z for weak lensing tomography from space: the role of optical and near-IR photometry

F. B. Abdalla, A. Amara, P. Capak, E. S. Cypriano, O. Lahav, J. Rhodes

摘要:

为了精确测量暗能量状态方程,我们详细研究了层析弱引力透镜对光度红移的要求。特别是,我们研究如何地面测光(u,g,r,i,z,y)可以补充天基近红外(IR)测光(J,H),例如在船上计划的沙丘卫星。使用现实的光度红移模拟和人工神经网络photo-z方法,我们评估的品质因数的暗能量参数$(w_0, w_a)$。我们考虑一个沙丘般的广泛的光学过滤器补充地面多波段光学数据的调查,如暗能量调查,泛星和LSST。我们表明,如果在DUNE上添加红外滤光片,暗能量品质因数将提高1.3至1.7倍。此外,我们表明,与红外数据灾难性的photo-z离群值可以有效地删除。滤波器的选择、震级限制和异常值的去除之间存在相互影响。我们提请注意编码到模拟星系的星系形成的情况下,如星系变红的结果的依赖性。例如,深u波段的数据可以作为有效的IR。我们还发现,大约$10^5-10^6$光谱红移需要校准的完整的调查。

英文摘要:

We study in detail the photometric redshift requirements needed for tomographic weak gravitational lensing in order to measure accurately the Dark Energy equation of state. In particular, we examine how ground-based photometry (u,g,r,i,z,y) can be complemented by space-based near-infrared (IR) photometry (J,H), e.g. on board the planned DUNE satellite. Using realistic photometric redshift simulations and an artificial neural network photo-z method we evaluate the Figure of Merit for the Dark Energy parameters $(w_0, w_a)$. We consider a DUNE-like broad optical filter supplemented with ground-based multi-band optical data from surveys like the Dark Energy Survey, Pan-STARRS and LSST. We show that the Dark Energy Figure of Merit would improved by a factor of 1.3 to 1.7 if IR filters are added on board DUNE. Furthermore we show that with IR data catastrophic photo-z outliers can be removed effectively. There is an interplay between the choice of filters, the magnitude limits and the removal of outliers. We draw attention to the dependence of the results on the galaxy formation scenarios encoded into the mock galaxies, e.g the galaxy reddening. For example, deep u band data could be as effective as the IR. We also find that about $10^5-10^6$ spectroscopic redshifts are needed for calibration of the full 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。

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