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arXiv 1302.7045astro-ph.IM
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多光谱日冕照相成像中的系外行星探测和仪器像差反演

Simultaneous exoplanet detection and instrument aberration retrieval in multispectral coronagraphic imaging

Marie Ygouf, Laurent M. Mugnier, David Mouillet, Thierry Fusco, Jean-Luc Beuzit

摘要:

用于探测和表征系外行星的高对比度成像依赖于仪器阻挡宿主恒星光线的能力。目前的一些用于校准剩余散斑的后处理方法使用由多光谱成像提供的信息冗余,但不使用关于这些散斑的起源的任何先验信息。我们调查是否可以使用额外的信息系统和图像形成过程中,更精细地利用多光谱信息。我们开发了一种反演方法,在贝叶斯框架的基础上,分析成像模型来估计散斑和对象地图。该模型将仪器像差与图像焦平面中的散斑图案联系起来,区分日冕物质抛射上游和下游的像差。我们提出并验证了几种数值技术,以处理困难的相位恢复的最小化问题,并实现了10^6的对比度在0.2 arcsec从模拟图像,在光子噪声的存在。这开辟了在真实数据上进行测试的可能性,如果仪器具有良好且稳定的冠状成像质量,则最终性能可以超越当前技术。这为新的天体物理学开发甚至未来仪器的新设计铺平了道路。

英文摘要:

High-contrast imaging for the detection and characterization of exoplanets relies on the instrument's capability to block out the light of the host star. Some current post-processing methods for calibrating out the residual speckles use information redundancy offered by multispectral imaging but do not use any prior information on the origin of these speckles. We investigate whether additional information on the system and image formation process can be used to more finely exploit the multispectral information. We developed an inversion method in a Bayesian framework that is based on an analytical imaging model to estimate both the speckles and the object map. The model links the instrumental aberrations to the speckle pattern in the image focal plane, distinguishing between aberrations upstream and downstream of the coronagraph. We propose and validate several numerical techniques to handle the difficult minimization problems of phase retrieval and achieve a contrast of 10^6 at 0.2 arcsec from simulated images, in the presence of photon noise. This opens up the the possibility of tests on real data where the ultimate performance may override the current techniques if the instrument has good and stable coronagraphic imaging quality. This paves the way for new astrophysical exploitations or even new designs for future instruments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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