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arXiv 1108.0635astro-ph.CO
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星系与质量集合:恒星质量的估算

Galaxy And Mass Assembly: Stellar Mass Estimates

Edward N Taylor, Andrew M Hopkins, Ivan K Baldry, Michael J I Brown, Simon P Driver, Lee S Kelvin, David T Hill, Aaron S G Robotham, Joss Bland-Hawthorn, D H Jo… 展开作者

Edward N Taylor, Andrew M Hopkins, Ivan K Baldry, Michael J I Brown, Simon P Driver, Lee S Kelvin, David T Hill, Aaron S G Robotham, Joss Bland-Hawthorn, D H Jones, R G Sharp, Daniel Thomas, Jochen Liske, Jon Loveday, Peder Norberg, J A Peacock, Steven P Bamford, Sarah Brough, Matthew Colless, Ewan Cameron, Chistopher J Conselice, Scott M Croom, C S Frenk, Madusha Gunawardhana, Konrad Kuijken, R C Nichol, H R Parkinson, S Phillipps, K A Pimbblet, C C Popescu, Matthew Prescott, W J Sutherland, R J Tuffs, Eelco van Kampen, D Wijesinghe

摘要:

本文介绍了第一个星系与质量大会(GAMA)光谱红移巡天中的中等红移(z < 0.65)星系的光度学恒星质量估算目录。这些质量,以及全套的辅助恒星星族参数,将作为GAMA数据发布2的一部分公开。尽管GAMA数据库确实包括近红外测光,但我们表明,当包括这些近红外数据时,我们的恒星星族合成拟合的质量明显较差。此外,对于很大一部分星系,从光学加近红外测光推断的恒星星族参数与仅从光学数据推断的参数在形式上不一致。这可能表明我们的恒星星族库中存在问题,或近红外数据问题,或两者兼而有之;这些问题将在未来版本的星表中得到解决。目前,我们选择只根据光学光度测量来估算恒星质量。鉴于我们决定忽略现有的近红外数据,我们研究如何以及恒星质量可以约束光数据的基础上。我们使用的一般属性的恒星星族合成模型,以证明,restframe颜色单独在原则上是一个很好的估计恒星的质量-光比,M*/李。此外,我们使用真实GAMA星系的restframe(g-i)和M*/Li之间的观测关系来论证,恒星演化模型本身的模不确定性,(g-i)颜色在实践中可以用来估计M*/Li,精度< ~0.1 dex。这种“经验校准”的(g-i)-M*/Li关系提供了一种简单而透明的方法,可以根据最少的数据估计星系的恒星质量,因此为其他调查提供了坚实的基础,可以将其结果与GAMA的z < ~0.4测量结果进行比较。

英文摘要:

This paper describes the first catalogue of photometrically-derived stellar mass estimates for intermediate-redshift (z < 0.65) galaxies in the Galaxy And Mass Assembly (GAMA) spectroscopic redshift survey. These masses, as well as the full set of ancillary stellar population parameters, will be made public as part of GAMA data release 2. Although the GAMA database does include NIR photometry, we show that the quality of our stellar population synthesis fits is significantly poorer when these NIR data are included. Further, for a large fraction of galaxies, the stellar population parameters inferred from the optical-plus-NIR photometry are formally inconsistent with those inferred from the optical data alone. This may indicate problems in our stellar population library, or NIR data issues, or both; these issues will be addressed for future versions of the catalogue. For now, we have chosen to base our stellar mass estimates on optical photometry only. In light of our decision to ignore the available NIR data, we examine how well stellar mass can be constrained based on optical data alone. We use generic properties of stellar population synthesis models to demonstrate that restframe colour alone is in principle a very good estimator of stellar mass-to-light ratio, M*/Li. Further, we use the observed relation between restframe (g-i) and M*/Li for real GAMA galaxies to argue that, modulo uncertainties in the stellar evolution models themselves, (g-i) colour can in practice be used to estimate M*/Li to an accuracy of < ~0.1 dex. This 'empirically calibrated' (g-i)-M*/Li relation offers a simple and transparent means for estimating galaxies' stellar masses based on minimal data, and so provides a solid basis for other surveys to compare their results to z < ~0.4 measurements from GAMA.

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