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Population synthesis modelling of luminous infrared galaxies at intermediate redshift

机译:中间红移下发光红外星系的种群合成模型

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Context. Luminous InfraRed Galaxies (LIRGs) are particularly important for studying the build-up of the stellar mass from z?=?1 to z?=?0, and for determining physical properties of these objects at redshift?0.7. LIRGs are now identified as playing a major role in galaxy evolution from z?=?1 to?0. The global star formation rate (SFR) at z?~?0.7 is mainly produced by LIRGs. Aims. We perform a multiwavelength study of an LIRGs sample in the Extended Chandra Deep Field South at z?=?0.7, selected at 24?μm by MIPS onboard Spitzer Space Telescope and detected in 17?filters. Data go from the near-ultraviolet to the mid-infrared. This multiwavelength dataset allows us to place strong constraints on the spectral energy distributions (SEDs) of galaxies, and thus to efficiently derive physical parameters such as the SFR, the total infrared luminosity, attenuation parameters, and star formation history. We distinguish a subsample of galaxies detected at?70?μm, which we compare to the rest of the sample to investigate the relative importance of this wavelength in determining of the physical parameters. An?important part of this work is elaboration of a mock catalogue that allows us to have a reliability criterion for the derived parameters. Methods. We studied LIRGs by means of the SED-fitting code CIGALE. At first, this code creates synthetic spectra from the Maraston stellar population models. The stellar population spectra are attenuated by using a synthetic Calzetti-based attenuation law before adding the dust emission as given by the infrared SED?library. The originality of CIGALE is that it allows us to perform consistent fits of the dust-affected ultaviolet-to-infrared wavelength range. This technique appears to be a very powerful tool in the case where we can have access to a dataset that is well-sampled over a wide range of wavelengths. Results. We are able to derive a star formation history and to estimate the fraction of infrared luminosity reprocessed by an active galactic nucleus. We study the dust temperatures of our galaxies detected at?70?μm and find them colder than predicted by models. We also study the relation between the SFR and the stellar mass and do not find a tight correlation between either of them, but instead a flat distribution and a large scatter, which is interpreted in terms of variations in star formation history.
机译:上下文。发光红外星系(LIRGs)对于研究恒星质量从z?=?1到z?=?0的积累,以及确定这些物体在红移≤0.7时的物理性质特别重要。现在,人们认为LIRG在从z?=?1到?0的星系演化中起着重要作用。在z?〜?0.7的全球恒星形成率(SFR)主要由LIRGs产生。目的我们对扩展Chandra深场南的LIRGs样本进行了多波长研究,其z == 0.7,由Spitzer太空望远镜的MIPS选定为24µm,并在17?滤光片中检测到。数据从近紫外到中红外。这个多波长数据集使我们能够对星系的光谱能量分布(SED)施加严格的约束,从而有效地推导出物理参数,例如SFR,总红外光度,衰减参数和恒星形成历史。我们区分出一个在70?μm处检测到的星系子样本,我们将该样本与其余样本进行比较,以研究该波长在确定物理参数方面的相对重要性。这项工作的重要部分是精心设计的模拟目录,使我们能够对派生参数具有可靠性标准。方法。我们通过适合SED的代码CIGALE研究了LIRG。首先,此代码从Maraston恒星种群模型创建合成光谱。在添加红外SED库给出的粉尘排放之前,通过使用基于Calzetti的合成衰减定律衰减恒星种群光谱。 CIGALE的独创性是它使我们能够对受尘埃影响的超音波到红外波长范围进行一致的拟合。在我们可以访问在很宽的波长范围内采样良好的数据集的情况下,这项技术似乎是一种非常强大的工具。结果。我们能够得出恒星形成的历史,并估计由活跃的银河核重新处理的红外光度的比例。我们研究了发现的银河尘埃温度为70?μm,发现它们比模型预测的温度低。我们还研究了恒星形成率与恒星质量之间的关系,但没有发现两者之间存在紧密的相关性,而是存在平坦的分布和较大的散射,这是根据恒星形成历史的变化来解释的。

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