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Kepler mission exoplanet transit data analysis using fractal imaging

机译:分形成像的开普勒任务系外行星过境数据分析

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The Kepler mission is designed to survey a fist-sized patch of the sky within the Milky Way galaxy for thediscovery of exoplanets, with emphasis on near Earth-size exoplanets in or near the habitable zone. The Keplerspace telescope would detect the brightness fluctuation of a host star and extract periodic dimming in thelightcurve caused by exoplanets that cross in front of their host star. The photometric data of a host star could beinterpreted as an image where fractal imaging would be applicable. Fractal analysis could elucidate theincomplete data limitation posed by the data integration window. The fractal dimension difference between thelower and upper halves of the image could be used to identify anomalies associated with transits and stellaractivity as the buried signals are expected to be in the lower half of such an image. Using an image fractaldimension resolution of 0.04 and defining the whole image fractal dimension as the Chi-square expected value ofthe fractal dimension, a p-value can be computed and used to establish a numerical threshold for decisionmaking that may be useful in further studies of lightcurves of stars with candidate exoplanets. Similar fractaldimension difference approaches would be applicable to the study of photometric time series data via theHiguchi method. The correlated randomness of the brightness data series could be used to support inferencesbased on image fractal dimension differences. Fractal compression techniques could be used to transform alightcurve image, resulting in a new image with a new fractal dimension value, but this method has been foundto be ineffective for images with high information capacity. The three studied criteria could be used together tofurther constrain the Kepler list of candidate lightcurves of stars with possible exoplanets that may be plannedfor ground-based telescope confirmation.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:开普勒任务的目的是调查银河系中拳头大小的天空斑块,以发现系外行星,重点是在可居住区域内或附近的地球大小系外行星。开普勒空间望远镜将检测出一颗恒星的亮度波动,并提取出系外行星越过其主恒星所引起的光曲线的周期性变暗。主星的光度数据可以解释为可应用分形成像的图像。分形分析可以阐明数据集成窗口带来的不完整的数据限制。图像的下半部分和上半部分之间的分形维数差异可用于识别与过境和恒星活动相关的异常,因为预计埋入信号将位于此类图像的下半部分。使用0.04的图像分形维数分辨率并将整个图像分形维数定义为分形维数的卡方期望值,可以计算p值并将其用于建立决策决策的数值阈值,该阈值可用于进一步研究光曲线与候选系外行星的星星。类似的分形维数差异方法将适用于通过Higuchi方法研究光度时间序列数据。亮度数据序列的相关随机性可用于支持基于图像分形维数差异的推断。分形压缩技术可用于变换光曲线图像,从而生成具有新的分形维数值的新图像,但已发现该方法对于具有高信息容量的图像无效。可以将这三个研究标准一起使用,以进一步限制可能的系外行星的开普勒候选星光曲线的开普勒列表,这些系外行星可能被计划用于地面望远镜的确认。©(2012)COPYRIGHT光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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