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arXiv 1607.08417astro-ph.IMastro-ph.EP
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恒星光变曲线中探测小凌日行星的小波滤波方法

Wavelet-based filter methods to detect small transiting planets in stellar light curves

Sascha Grziwa, Martin Pätzold

摘要:

恒星光变曲线内任何类型和原因的强烈变化都可能阻止凌日的探测,特别是小行星从恒星盘前面经过而引起的微弱或浅的凌日。未来以寻找小行星为目标的太空望远镜的成功将建立在对受扰动恒星光变曲线中的凌日进行适当过滤、分析和探测的基础上。由RIU-PF开发的基于小波的滤波器方法VARLET和PHALET与凌日探测软件包EXOTRANS相结合,可以提取(i)强烈的恒星变化,(ii)恒星光变曲线内仪器引起的尖峰和奇点,(iii)已经探测到的行星或恒星双星凌日,以便能够搜索更多的行星或双星周围的行星。一旦光变曲线被过滤,EXOTRANS就能够高效、有效和精确地搜索凌日,特别是微弱的凌日。

英文摘要:

Strong variations of any kind and causes within a stellar light curve may prohibit the detection of transits, particularly of faint or shallow transits caused by small planets passing in front of the stellar disk. The success of future space telescopes with the goal for finding small planets will be based on proper filtering, analysis and detection of transits in perturbed stellar light curves. The wavelet-based filter methods VARLET and PHALET, developed by RIU-PF, in combination with the transit detection software package EXOTRANS allow the extraction of (i) strong stellar variations, (ii) instrument caused spikes and singularities within a stellar light curve, (iii) already detected planetary or stellar binary transits in order to be able to search for further planets or planets about binary stars. Once the light curve is filtered, EXOTRANS is able to search efficiently, effectively and precisely for transits, in particular for faint transits.

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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