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首页> 外文期刊>Astronomy and astrophysics >T-PHOT: A new code for PSF-matched, prior-based, multiwavelength extragalactic deconfusion photometry
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T-PHOT: A new code for PSF-matched, prior-based, multiwavelength extragalactic deconfusion photometry

机译:T-PHOT:PSF匹配的,基于先验的,多波长银河系解离光度法的新代码

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Context. The advent of deep multiwavelength extragalactic surveys has led to the necessity for advanced and fast methods for photometric analysis. In fact, codes which allow analyses of the same regions of the sky observed at different wavelengths and resolutions are becoming essential to thoroughly exploit current and future data. In this context, a key issue is the confusion (i.e. blending) of sources in low-resolution images. Aims. We present t-phot, a publicly available software package developed within the astrodeep project. t-phot is aimed at extracting accurate photometry from low-resolution images, where the blending of sources can be a serious problem for the accurate and unbiased measurement of fluxes and colours. Methods. t-phot can be considered as the next generation to tfit, providing significant improvements over and above it and other similar codes (e.g. convphot). t-phot gathers data from a high-resolution image of a region of the sky, and uses this information (source positions and morphologies) to obtain priors for the photometric analysis of the lower resolution image of the same field. t-phot can handle different types of datasets as input priors, namely i) a list of objects that will be used to obtain cutouts from the real high-resolution image; ii) a set of analytical models (as .fits stamps); iii) a list of unresolved, point-like sources, useful for example for far-infrared (FIR) wavelength domains. Results. By means of simulations and analysis of real datasets, we show that t-phot yields accurate estimations of fluxes within the intrinsic uncertainties of the method, when systematic errors are taken into account (which can be done thanks to a flagging code given in the output). t-phot is many times faster than similar codes like tfit and convphot (up to hundreds, depending on the problem and the method adopted), whilst at the same time being more robust and more versatile. This makes it an excellent choice for the analysis of large datasets. When used with the same parameter sets as for tfit it yields almost identical results (although in a much shorter time); in addition we show how the use of different settings and methods significantly enhances the performance. Conclusions. t-phot proves to be a state-of-the-art tool for multiwavelength optical to far-infrared image photometry. Given its versatility and robustness, t-phot can be considered the preferred choice for combined photometric analysis of current and forthcoming extragalactic imaging surveys.
机译:上下文。深入的多波长河外勘测的出现导致需要先进,快速的光度分析方法。实际上,允许对在不同波长和分辨率下观察到的天空的相同区域进行分析的代码对于彻底利用当前和将来的数据变得至关重要。在这种情况下,关键问题是低分辨率图像中的源的混淆(即,融合)。目的我们介绍t-phot,这是在astrodeep项目中开发的可公开获得的软件包。 t-phot旨在从低分辨率图像中提取准确的测光法,其中光源的混合对于通量和颜色的准确无偏测量可能是一个严重的问题。方法。 t-phot可以被认为是tfit的下一代产品,它对t-phot和其他类似代码(例如convphot)进行了重大改进。 t-phot从天空区域的高分辨率图像中收集数据,并使用此信息(源位置和形态)来获得先验,以对同一场的较低分辨率图像进行光度分析。 t-phot可以将不同类型的数据集作为输入先验来处理,即:i)将用于从真实高分辨率图像中获取剪裁的对象列表; ii)一套分析模型(如拟合图); iii)一系列未解析的点状光源,例如可用于远红外(FIR)波长域。结果。通过对真实数据集的仿真和分析,我们表明,当考虑到系统误差时,t-phot可以在该方法的固有不确定性内得出准确的通量估计值(这可以通过输出中给出的标记代码来完成) )。 t-phot比类似tfit和convphot的代码(最多数百个,取决于问题和所采用的方法)快很多倍,同时更健壮和更通用。这使其成为分析大型数据集的绝佳选择。当使用与tfit相同的参数集时,它会产生几乎相同的结果(尽管时间要短得多)。此外,我们还展示了如何使用不同的设置和方法来显着提高性能。结论。 t-phot被证明是用于多波长光学到远红外图像光度法的最新工具。鉴于其多功能性和坚固性,可以将t-phot视为当前和即将进行的河外影像调查的组合光度分析的首​​选。

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