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A study of selection methods for Hα-emitting galaxies at z ~ 1.3 for the Subaru/FMOS galaxy redshift survey for cosmology (FastSound)

机译:斯巴鲁/ FMOS星系红移宇宙学调查中,z〜1.3发射Hα星系的选择方法的研究(FastSound)

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The efficient selection of high-redshift emission galaxies is important for future large galaxy redshift surveys for cosmology. Here we describe the target selection methods for the FastSound project, a redshift survey for Hα-emitting galaxies at z = 1.2–1.5 using Subaru/FMOS to measure the linear growth rate fσ_8 via redshift space distortion and constrain the theory of gravity. To select ~400 target galaxies in the 0.2 deg~2 FMOS field of view from photometric data of CFHTLS-Wide (u?g'r'i'z'), we test several different methods based on color–color diagrams or photometric redshift estimates from spectral energy distribution (SED) fitting. We also test the improvement in selection efficiency that can be achieved by adding near-infrared data from the UKIDSS DXS (J). The success rates of Hα detection with FMOS averaged over two observed fields using these methods are 11.3% (color–color, optical), 13.6% (color–color, optical + NIR), 17.3% (photo-z, optical), and 15.1% (photo-z, optical + NIR). Selection from photometric redshifts tends to give a better efficiency than color-based methods, although there is no significant improvement by adding J-band data within the statistical scatter. We also investigate the main limiting factors for the success rate, by using the sample of the HiZELS Hα emitters that were selected by narrow-band imaging. Although the number density of total Hα emitters having higher Hα fluxes than the FMOS sensitivity is comparable with the FMOS fiber density, the limited accuracy of photometric redshift and Hα flux estimations have comparable effects on the success rate of ≤20% obtained from SED fitting.
机译:高红移发射星系的有效选择对于未来的宇宙学大型银河系红移调查很重要。在这里,我们描述了FastSound项目的目标选择方法,该项目是使用Subaru / FMOS对z = 1.2–1.5处发射Hα的星系进行红移测量,以通过红移空间畸变测量线性增长率fσ_8并限制重力理论的方法。要从CFHTLS-Wide(u?g'r'i'z')的光度数据中选择0.2度〜2 FMOS视场中的〜400个目标星系,我们基于色图或光度红移测试几种不同的方法根据频谱能量分布(SED)拟合进行估算。我们还测试了通过添加来自UKIDSS DXS(J)的近红外数据可以实现的选择效率的提高。使用这些方法,在两个观察到的场上使用FMOS进行Hα检测的平均成功率分别为11.3%(颜色-颜色,光学),13.6%(颜色-颜色,光学+ NIR),17.3%(照片-z,光学)和15.1%(photo-z,光学+ NIR)。尽管通过在统计散点内添加J波段数据并没有明显的改进,但从光度红移中进行选择往往比基于颜色的方法具有更高的效率。我们还通过使用通过窄带成像选择的HiZELSHα发射器样本研究了成功率的主要限制因素。尽管具有比FMOS灵敏度更高的Hα通量的总Hα发射器的数量密度与FMOS光纤密度相当,但是光度红移和Hα通量估计的有限精度对SED拟合获得的成功率≤20%具有可比的影响。

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