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arXiv 1102.1036astro-ph.EP
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Transit分析包(TAP和autoKep):太阳系外行星Transit Photometry的IDL图形用户界面

Transit Analysis Package (TAP and autoKep): IDL Graphical User Interfaces for Extrasolar Planet Transit Photometry

J. Zachary Gazak, John A. Johnson, John Tonry, Jason Eastman, Andrew W. Mann, Eric Agol

摘要:

我们提出了一个IDL图形用户界面驱动的软件包设计的太阳系外行星过境光变曲线的分析。过境分析包(TAP)软件使用马尔可夫链蒙特卡罗(MCMC)技术,使用Mandel和Agol(2002)的分析模型拟合光变曲线。该软件包采用了由Carter和Winn(2009)开发的基于小波的似然函数,该函数允许MCMC通过参数化不相关的“白”和相关的“红”噪声,比经典的卡方方法更鲁棒地评估参数不确定性。该软件能够同时分析在不同条件(仪器,过滤器,天气等)下观察到的多个凌日。图形界面允许简单的执行和贝叶斯MCMC分析的解释量身定制的用户的特定数据集,并已在地面和开普勒测光彻底测试。AutoKep提供了一个类似的GUI,用于准备开普勒MAST存档数据,以供TAP或任何其他分析软件分析。本文描述了软件版本并提供了使用说明。

英文摘要:

We present an IDL graphical user interface-driven software package designed for the analysis of extrasolar planet transit light curves. The Transit Analysis Package (TAP) software uses Markov Chain Monte Carlo (MCMC) techniques to fit light curves using the analytic model of Mandel and Agol (2002). The package incorporates a wavelet based likelihood function developed by Carter and Winn (2009) which allows the MCMC to assess parameter uncertainties more robustly than classic chi-squared methods by parameterizing uncorrelated "white" and correlated "red" noise. The software is able to simultaneously analyze multiple transits observed in different conditions (instrument, filter, weather, etc). The graphical interface allows for the simple execution and interpretation of Bayesian MCMC analysis tailored to a user's specific data set and has been thoroughly tested on ground-based and Kepler photometry. AutoKep provides a similar GUI for the preparation of Kepler MAST archive data for analysis by TAP or any other analysis software. This paper describes the software release and provides instructions for its use.

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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