The PAU Survey: Galaxy stellar population properties estimates with narrowband data

B. Csizi, L. Tortorelli, M. Siudek, D. Grün, P. Renard, P. Tallada-Crespí, E. Sanchez, R. Miquel, C. Padilla, J. García-Bellido, E. Gaztañaga, R. Casas, S. Serrano, J. De Vicente, E. Fernandez, M. Eriksen, G. Manzoni, C. M. Baugh, J. Carretero, F. Castander
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Abstract

A newfound interest has been seen in narrowband galaxy surveys as a promising method for achieving the necessary accuracy on the photometric redshift estimate of individual galaxies for next-generation stage IV cosmological surveys. One key advantage is the ability to provide higher spectral resolution information on galaxies, which ought to allow for a more accurate and precise estimation of the stellar population properties for galaxies. However, the impact of adding narrowband photometry on the stellar population properties estimate is largely unexplored. The scope of this work is two-fold: 1) we leverage the predictive power of broadband and narrowband data to infer galaxy physical properties, such as stellar masses, ages, star formation rates, and metallicities; and 2) we evaluate the improvement of performance in estimating galaxy properties when we use narrowband instead of broadband data. In this work, we measured the stellar population properties of a sample of galaxies in the COSMOS field for which both narrowband and broadband data are available. In particular, we employed narrowband data from the Physics of the Accelerating Universe Survey (PAUS) and broadband data from the Canada France Hawaii Telescope legacy survey (CFHTLS). We used two different spectral energy distribution (SED) fitting codes to measure galaxy properties, namely and We find that the increased spectral resolution of narrowband photometry does not yield a substantial improvement in terms of constraining the galaxy properties using the SED fitting. Nonetheless, we find that we are able to obtain a more diverse distribution of metallicities and dust optical depths with when employing the narrowband data. The effect is not as prominent as expected, which we relate to the low narrowband signal-to-noise ratio (S/N) of a majority of the sampled galaxies, the respective drawbacks of both codes, and the restriction of coverage to the optical regime. The measured properties are compared to those reported in the COSMOS2020 catalogue, showing a good agreement. We have released the catalogue of measured properties in tandem with this work.
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PAU 勘测:利用窄带数据估算星系恒星群特性
人们对窄带星系测量产生了新的兴趣,认为这是一种很有前途的方法,可以达到下一代第四阶段宇宙学测量对单个星系的光度红移估计所需的精度。它的一个主要优势是能够提供更高分辨率的星系光谱信息,从而能够更准确、更精确地估计星系的恒星群特性。然而,增加窄带测光对恒星群特性估算的影响在很大程度上还没有得到探讨。这项工作的范围包括两个方面:1)我们利用宽带和窄带数据的预测能力来推断星系的物理特性,如恒星质量、年龄、恒星形成率和金属性;2)我们评估使用窄带数据而不是宽带数据来估算星系特性的性能改进。在这项工作中,我们测量了 COSMOS 星场中既有窄带数据又有宽带数据的星系样本的恒星群特性。我们特别采用了加速宇宙物理巡天(PAUS)的窄带数据和加拿大-法国夏威夷望远镜遗留巡天(CFHTLS)的宽带数据。我们使用了两种不同的光谱能量分布(SED)拟合代码来测量星系的特性,分别是和。 我们发现,窄带光度测量所提高的光谱分辨率并没有在利用 SED 拟合来约束星系特性方面产生实质性的改进。尽管如此,我们发现在使用窄带数据时,我们能够获得更多样化的金属性和尘埃光学深度分布。这种效果并不像预期的那样突出,这与大多数采样星系的窄带信噪比(S/N)较低、两种代码各自的缺点以及覆盖范围仅限于光学范围有关。我们将测量到的属性与 COSMOS2020 目录中报告的属性进行了比较,结果显示两者的一致性很好。我们在发布这项工作的同时,还发布了测量到的属性目录。
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