EDGAR: Automating POET for Analysis for HD 209458b Eclipse Light Curves
Abstract
Transiting exoplanet data reduction and light-curve modeling requires dozens of human decisions, including choice of centering method, photometry method, photometry aperture size, and light-curve model. Easy Distributed Global Aggregator of Runs (EDGAR) is a driver for the Photometry for Orbits, Eclipses, and Transits (POET) code, an analysis pipeline for Spitzer exoplanet observations. EDGAR makes optimal decisions at each step of the analysis to minimize human interaction, memory usage, and run time, while maximizing computational efficiency. Limiting EDGAR to 10 cores, we compared 6 models considering 3 centering methods, 3 photometry methods, and 81 aperture sizes totaling ~2,000 light curves of an 8 hour observation with ~200,000 images. We included 11 constant apertures, 35 variable apertures, and 35 elliptical apertures as well as 9 bin sizes for each centering and photometry combination. The only human interaction was in the initial setup of configuration files. EDGAR processed the raw images and produced the final light curve in less than a day. HD 209458b is one of the exoplanets most observed by Spitzer. Here we present an application of EDGAR to HD 209458b eclipses to determine eclipse depths and midpoints for atmospheric retrievals and orbital fitting. Spitzer is operated by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. This work was supported by NASA Exoplanet Research Program grant NNX17AB62G.
- Publication:
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American Astronomical Society Meeting Abstracts #235
- Pub Date:
- January 2020
- Bibcode:
- 2020AAS...23511504S