Transit Analysis Package: An IDL Graphical User Interface for Exoplanet Transit Photometry

Advances in Astronomy. 2012;2012 DOI 10.1155/2012/697967

 

Journal Homepage

Journal Title: Advances in Astronomy

ISSN: 1687-7969 (Print); 1687-7977 (Online)

Publisher: Hindawi Limited

LCC Subject Category: Science: Astronomy

Country of publisher: United Kingdom

Language of fulltext: English

Full-text formats available: PDF, HTML, ePUB, XML

 

AUTHORS

J. Zachary Gazak (Institute for Astronomy, University of Hawaii, 2680 Woodlawn Dr, Honolulu, HI 96822, USA)
John A. Johnson (Department of Astrophysics, California Institute of Technology, MC 249-17, Pasadena, CA 91125, USA)
John Tonry (Institute for Astronomy, University of Hawaii, 2680 Woodlawn Dr, Honolulu, HI 96822, USA)
Diana Dragomir (Department of Physics & Astronomy, The University of British Columbia, Vancouver, BC, V6T1Z1, Canada)
Jason Eastman (The Ohio State University, Columbus, OH 43210, USA)
Andrew W. Mann (Institute for Astronomy, University of Hawaii, 2680 Woodlawn Dr, Honolulu, HI 96822, USA)
Eric Agol (Department of Astronomy, University of Washington, Box 351580, Seattle, WA 98195, USA)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 22 weeks

 

Abstract | Full Text

We present an IDL graphical user-interface-driven software package designed for the analysis of exoplanet 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 Mandal 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 χ2 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. This paper describes the software release and provides applications to new and existing data. Reanalysis of ground-based observations of TrES-1b, WASP-4b, and WASP-10b (Winn et al., 2007, 2009; Johnson et al., 2009; resp.) and space-based Kepler 4b–8b (Kipping and Bakos 2010) show good agreement between TAP and those publications. We also present new multi-filter light curves of WASP-10b and we find excellent agreement with previously published values for a smaller radius.