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Spectrophotometric redshifts - A new approach to the reduction of noisy spectra and its application to GRB?090423

机译:分光光度红移-减少噪声光谱的新方法及其在GRB?090423中的应用

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Context. The measurement of redshifts for objects on the verge of instrumental observability is difficult and prone to error. This is especially true for almost featureless spectra, as is the case for GRB afterglows. They can be detected out to the farthest distances, and usually spectroscopy poses a serious problem because they fade quickly. Aims. We have developed a new method that is close in philosophy to the photometric redshift technique, which can be applied to spectral data with a very low signal-to-noise ratio. We intend to measure redshifts, while minimising the dangers posed by the usual extraction techniques. Methods. GRB afterglows have generally very simple optical spectra, which can be described well by a pure power law, over which the separate effects of absorption and reddening in the GRB host, the intergalactic medium, and our own Galaxy are superimposed. We model all these effects over a series of template afterglow spectra to produce a set of clean spectra that reproduce what would reach our telescope. We also carefully model the effects of the telescope-spectrograph combination and the properties of noise in the data, which are then applied to the template spectra. The final templates are compared to the two-dimensional spectral data, and the basic parameters (redshift, spectral index, hydrogen absorption column) are estimated with statistical tools. Results. We show how our method works by applying it to our data of the NIR afterglow of Swift GRB?090423. At z?≈?8.2, this was the most distant object ever observed. Our team took a spectrum using the Telescopio Nazionale Galileo, which we use in this article to derive its redshift and its intrinsic neutral hydrogen column density. Our best fit yields and N(HI)?
机译:上下文。接近仪器可观察性的物体的红移测量很困难并且容易出错。对于GRB余辉来说,几乎几乎没有特征的光谱尤其如此。可以将它们检测到最远的距离,并且通常光谱法会带来严重的问题,因为它们会很快消失。目的我们已经开发出一种在原理上与光度红移技术相近的新方法,该方法可以应用于信噪比非常低的光谱数据。我们打算测量红移,同时最大程度地减少常规提取技术带来的危险。方法。 GRB余辉通常具有非常简单的光谱,可以用纯幂定律很好地描述,在该光谱上叠加了GRB宿主,星际介质和我们自己的星系中吸收和变红的单独作用。我们在一系列模板余辉光谱上对所有这些效应建模,以产生一组清晰的光谱,这些光谱可以再现望远镜所能到达的范围。我们还仔细建模了望远镜-光谱仪组合的效果以及数据中的噪声属性,然后将其应用于模板光谱。将最终模板与二维光谱数据进行比较,并使用统计工具估算基本参数(红移,光谱指数,氢吸收柱)。结果。通过将其应用于Swift GRB?090423的NIR余辉数据,我们将展示该方法的工作原理。在z≈≈8.2时,这是有史以来最遥远的物体。我们的团队使用Telescopio Nazionale Galileo进行了光谱分析,我们在本文中使用了该光谱来推导其红移及其固有的中性氢柱密度。我们的最佳拟合产量和N(HI)?<?5?×?1020 ??? cm-2,但具有很高的非高斯不确定性,包括红移范围z?∈?? [6.7,8.5]?。在2西格玛置信水平下。结论。我们的方法对于最大化从低质量光谱中回收的信息非常有用,尤其是当可能的光谱集有限或易于设置参数时(例如GRB余辉),同时确保足够的置信度分析。

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