arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1105.5595astro-ph.CO
收藏

星系颜色梯度对宇宙剪切测量的影响

The impact of galaxy colour gradients on cosmic shear measurement

L. M. Voigt, S. L. Bridle, A. Amara, M. Cropper, T. D. Kitching, R. Massey, J. Rhodes, T. Schrabback

摘要:

宇宙剪切被认为是最有潜力限制暗能量的方法。为了利用这种潜力,有必要非常精确地测量星系的形状,这反过来又需要一个详细的图像模糊模型,即点扩散函数(PSF)。一般来说,PSF随波长而变化,因此在观测滤波器上积分的PSF取决于物体的光谱。对于一个典型的星系,光谱在整个星系图像中是变化的,因此PSF取决于图像中的位置。我们估计的偏见剪切由于这样的颜色梯度建模星系使用两个共同中心,共同椭圆Sersic配置文件,每个具有不同的光谱。我们估计忽略颜色梯度的影响,并发现从一个单一的星系的剪切偏置可以是非常大的,这取决于星系的属性。我们发现,减半的过滤器宽度减少剪切偏置的一个因素约为5。我们表明,一阶,层析宇宙剪切两点统计依赖于平均剪切偏置在星系人口在一个给定的红移。对于一个单一的广泛的过滤器,并平均在一个小的星系目录,我们发现一个平均剪切偏置,这是次主导未来的宇宙剪切调查预测的统计误差。然而,真实的平均剪切偏差可能会超过统计误差,这取决于星表在宇宙剪切巡天中对观测到的星系分布的准确程度。然后,我们调查的两个过滤器成像的剪切上的偏差,并发现偏差减少了至少一个数量级。最后,我们发现,它是可能的校准星系的颜色梯度被忽略使用两个过滤器成像的噪声星系的公平样本,如果星系模型是已知的。对于S/N为25的星系的数量需要在每个层析红移箱是1 e4的顺序。

英文摘要:

Cosmic shear has been identified as the method with the most potential to constrain dark energy. To capitalise on this potential it is necessary to measure galaxy shapes with great accuracy, which in turn requires a detailed model for the image blurring, the Point Spread Function (PSF). In general the PSF varies with wavelength and therefore the PSF integrated over an observing filter depends on the spectrum of the object. For a typical galaxy the spectrum varies across the galaxy image, thus the PSF depends on the position within the image. We estimate the bias on the shear due to such colour gradients by modelling galaxies using two co-centered, co-elliptical Sersic profiles, each with a different spectrum. We estimate the effect of ignoring colour gradients and find the shear bias from a single galaxy can be very large depending on the properties of the galaxy. We find that halving the filter width reduces the shear bias by a factor of about 5. We show that, to first order, tomographic cosmic shear two point statistics depend on the mean shear bias over the galaxy population at a given redshift. For a single broad filter, and averaging over a small galaxy catalogue, we find a mean shear bias which is subdominant to the predicted statistical errors for future cosmic shear surveys. However, the true mean shear bias may exceed the statistical errors, depending on how accurately the catalogue represents the observed distribution of galaxies in the cosmic shear survey. We then investigate the bias on the shear for two-filter imaging and find that the bias is reduced by at least an order of magnitude. Lastly, we find that it is possible to calibrate galaxies for which colour gradients were ignored using two-filter imaging of a fair sample of noisy galaxies, if the galaxy model is known. For a S/N of 25 the number of galaxies required in each tomographic redshift bin is of order 1e4.

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。

↑