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Towards universal hybrid star formation rate estimators

机译:迈向通用混合恒星形成率估算器

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Context. To compute the star formation rate (SFR) of galaxies from the rest-frame ultraviolet (UV), it is essential to take the obscuration by dust into account. To do so, one of the most popular methods consists in combining the UV with the emission from the dust itself in the infrared (IR). Yet, different studies have derived different estimators, showing that no such hybrid estimator is truly universal. Aims. In this paper we aim at understanding and quantifying what physical processes fundamentally drive the variations between different hybrid estimators. In so doing, we aim at deriving new universal UV+IR hybrid estimators to correct the UV for dust attenuation at local and global scales, taking the intrinsic physical properties of galaxies into account. Methods. We use the CIGALE code to model the spatially resolved far-UV to far-IR spectral energy distributions of eight nearby star-forming galaxies drawn from the KINGFISH sample. This allows us to determine their local physical properties, and in particular their UV attenuation, average SFR, average specific SFR (sSFR), and their stellar mass. We then examine how hybrid estimators depend on said properties. Results. We find that hybrid UV+IR estimators strongly depend on the stellar mass surface density (in particular at 70 μ m and 100 μ m) and on the sSFR (in particular at 24 μ m and the total infrared). Consequently, the IR scaling coefficients for UV obscuration can vary by almost an order of magnitude: from 1.55 to 13.45 at 24 μ m for instance. This result contrasts with other groups who found relatively constant coefficients with small deviations. We exploit these variations to construct a new class of adaptative hybrid estimators based on observed UV to near-IR colours and near-IR luminosity densities per unit area. We find that they can reliably be extended to entire galaxies. Conclusions. The new estimators provide better estimates of attenuation-corrected UV emission than classical hybrid estimators published in the literature. Taking naturally variable impact of dust heated by old stellar populations into account, they constitute an important step towards universal estimators.
机译:上下文。要从静止帧紫外线(UV)计算星系的恒星形成率(SFR),必须考虑到灰尘的遮盖作用。为此,最流行的方法之一是将紫外线与红外(IR)中粉尘自身的发射相结合。然而,不同的研究得出了不同的估计量,表明没有这样的混合估计量是真正普遍的。目的在本文中,我们旨在理解和量化哪些物理过程从根本上驱动了不同混合估计量之间的差异。通过这样做,我们的目标是得出新的通用UV + IR混合估计量,以在考虑到星系的固有物理特性的情况下,在局部和全局范围内校正UV的粉尘衰减。方法。我们使用CIGALE代码对从KINGFISH样本中提取的八个附近形成恒星的星系进行空间分辨的远紫外到远红外光谱能量分布进行建模。这使我们能够确定它们的局部物理特性,尤其是它们的紫外线衰减,平均SFR,平均比SFR(sSFR)及其恒星质量。然后,我们检查混合估计量如何依赖于所述属性。结果。我们发现,混合的UV + IR估计量强烈取决于恒星质量表面密度(特别是在70μm和100μm时)和sSFR(尤其是在24μm和总红外时)。因此,用于紫外线遮挡的IR缩放系数几乎可以变化一个数量级:例如,在24μm时从1.55到13.45。该结果与发现相对恒定系数且偏差较小的其他小组形成对比。我们利用这些变化来构造一类新的自适应混合估计器,该模型基于观察到的UV到近红外颜色和每单位面积的近红外光密度。我们发现它们可以可靠地扩展到整个星系。结论。与文献中发布的经典混合估计器相比,新的估计器提供了对衰减校正后的UV发射的更好估计。考虑到旧恒星群体加热产生的尘埃的自然变化影响,它们构成了迈向普遍估计的重要一步。

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