论文标题

蛋黄酱:近红外磁盘和系外行星成像的形态成分分析管道

MAYONNAISE: a morphological components analysis pipeline for circumstellar disks and exoplanets imaging in the near infrared

论文作者

Pairet, Benoît, Cantalloube, Faustine, Jacques, Laurent

论文摘要

近红外的成像情节磁盘提供了有关行星系统形成和演变的前所未有的信息。但是,使用地面望远镜的当前用于高对比度成像的后处理技术对扩展信号的敏感性有限,并且它们的形态通常受到强烈的形态扭曲的困扰。此外,当两个组件接近或交织在一起时,将磁盘上的行星信号从磁盘上删除是一项挑战。我们提出了一条能够检测到各种磁盘并保留其形状和通量分布的管道。通过施工,我们的方法将行星与磁盘分开。在分析了当前角度微分成像(ADI)后处理技术引起的扭曲后,我们建立了构成高对比度图像的时间序列的不同组件的直接模型。在一个反问题框架中,我们使用每个信号的低复杂性先验,共同估计图像中隐藏的潜在扩展源和点源。为了验证和估计方法的性能,我们在VLT/Sphere-irdis数据上对其进行了测试,并在其中注射了合成磁盘和行星。我们还将方法应用于包含真实磁盘的观察结果。我们的技术使从ADI数据集中检测磁盘的对比度相对于主机星的对比度高于$ 3 \ times10^{ - 6} $。由于没有假定磁盘的特定形状,因此我们能够提取包括面对面磁盘在内的广泛多样性的磁盘。检测到的磁盘的强度分布被准确保留,并且分别区分了点源,甚至靠近磁盘。

Imaging circumstellar disks in the near-infrared provides unprecedented information about the formation and evolution of planetary systems. However, current post-processing techniques for high-contrast imaging using ground-based telescopes have a limited sensitivity to extended signals and their morphology is often plagued with strong morphological distortions. Moreover, it is challenging to disentangle planetary signals from the disk when the two components are close or intertwined. We propose a pipeline that is capable of detecting a wide variety of disks and preserving their shapes and flux distributions. By construction, our approach separates planets from disks. After analyzing the distortions induced by the current angular differential imaging (ADI) post-processing techniques, we establish a direct model of the different components constituting a temporal sequence of high-contrast images. In an inverse problem framework, we jointly estimate the starlight residuals and the potential extended sources and point sources hidden in the images, using low-complexity priors for each signal. To verify and estimate the performance of our approach, we tested it on VLT/SPHERE-IRDIS data, in which we injected synthetic disks and planets. We also applied our approach on observations containing real disks. Our technique makes it possible to detect disks from ADI datasets of a contrast above $3\times10^{-6}$ with respect to the host star. As no specific shape of the disks is assumed, we are capable of extracting a wide diversity of disks, including face-on disks. The intensity distribution of the detected disk is accurately preserved and point sources are distinguished, even close to the disk.

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