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arXiv 1208.4554astro-ph.IMastro-ph.EP
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Kepler Photometry中噪声模的识别与去除

Identification and Removal of Noise Modes in Kepler Photometry

Erik A. Petigura, Geoffrey W. Marcy

摘要:

提出了一种新的用于识别和去除开普勒测光中仪器噪声的框架--凌日系外地球鲁棒约简算法(TERRA)。我们确定仪器噪声模式,找到共同的趋势,在一个大的合奏光变曲线从整个开普勒视场。从战略上讲,这些噪声模式可以被优化,以揭示具有特定时间尺度范围的凌日。对于低光度噪声的开普勒目标恒星,TERRA产生了在12小时箱中具有33 ppm RMS散射的整体校准光度,使类太阳恒星周围的地球大小的行星的单独凌日可检测为~3 sigma信号。

英文摘要:

We present the Transiting Exoearth Robust Reduction Algorithm (TERRA) --- a novel framework for identifying and removing instrumental noise in Kepler photometry. We identify instrumental noise modes by finding common trends in a large ensemble of light curves drawn from the entire Kepler field of view. Strategically, these noise modes can be optimized to reveal transits having a specified range of timescales. For Kepler target stars of low photometric noise, TERRA produces ensemble-calibrated photometry having 33 ppm RMS scatter in 12-hour bins, rendering individual transits of earth-size planets around sun-like stars detectable as ~3 sigma signals.

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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