论文标题

部分可观测时空混沌系统的无模型预测

Fringing Analysis and Simulation for the Vera C. Rubin Observatory's Legacy Survey of Space and Time

论文作者

Guo, Zhiyuan, Walter, Chris W., Lage, Craig, Lupton, Robert H., Collaboration, The LSST Dark Energy Science

论文摘要

天文CCD图像中的条纹的存在将影响光度质量和测量。然而,它对Vera C. Rubin天文台对时空(LSST)的遗产调查的影响尚未得到充分研究。我们介绍了一项关于鲁宾天文台LSST摄像机焦平面上已经实施的电荷耦合设备(CCD)条纹的详细研究。进行物理测量并了解组成后,我们为E2V CCD开发了模型。我们提出了一种适合基于实验室环境中的条纹测量的传感器内环氧层内部高度变化的方法。此方法足够通用,可以轻松修改以适用于其他CCD。使用派生的条纹模型,我们成功地再现了可比的边缘幅度,这些振幅与现有望远镜在具有不同光学设计的现有望远镜拍摄的图像中观察到的水平相匹配。然后,该模型被用来预测在单个LSST Y波段的天空背景中的预期水平,并在存在逼真的时间变化的天空光谱的情况下,在鲁宾望远镜的情况下曝光。 LSST图像中预测的条纹振幅的范围从$ 0.04 \%$到$ 0.2 \%$,具体取决于CCD在焦平面上的位置。我们发现,在LSST Y波段SkyBackground图像中,表面亮度的预测变化约为$ 0.6 \μ\ rm {Jy} \ \ \ \ rm {arcsec}^{ - 2} $,比当前的测量误差大40倍。我们得出的结论是,有必要在鲁宾的LSST图像处理管道中包括条纹校正。

The presence of fringing in astronomical CCD images will impact photometric quality and measurements. Yet its impact on the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) has not been fully studied. We present a detailed study on fringing for Charge-Coupled Devices (CCDs) already implemented on the Rubin Observatory LSST Camera's focal plane. After making physical measurements and knowing the compositions, we have developed a model for the e2v CCDs. We present a method to fit for the internal height variation of the epoxy layer within the sensors based on fringing measurements in a laboratory setting. This method is generic enough that it can be easily modified to work for other CCDs. Using the derived fringing model, we successfully reproduce comparable fringing amplitudes that match the observed levels in images taken by existing telescopes with different optical designs. This model is then used to forecast the expected level of fringing in a single LSST y-band sky background exposure with Rubin telescope optics in the presence of a realistic time varying sky spectrum. The predicted fringing amplitude in LSST images ranges from $0.04\%$ to $0.2\%$ depending on the location of a CCD on the focal plane. We find that the predicted variation in surface brightness caused by fringing in LSST y-band skybackground images is about $0.6\ μ\rm{Jy}\ \rm{arcsec}^{-2}$, which is 40 times larger than the current measurement error. We conclude that it is necessary to include fringing correction in the Rubin's LSST image processing pipeline.

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