arXiv · 1911.04985
A Full Implementation of Spectro-Perfectionism for Precise Radial Velocity Exoplanet Detection: A Test Case With the MINERVA Reduction Pipeline
Abstract
We present a computationally tractable implementation of spectro-perfectionism, a method which minimizes error imparted by spectral extraction. We develop our method in conjunction with a full raw reduction pipeline for the MINiature Exoplanet Radial Velocity Array (MINERVA), capable of performing both optimal extraction and spectro-perfectionism. Although spectro-perfectionism remains computationally expensive, our implementation can extract a MINERVA exposure in approximately $30\,\text{min}$. We describe our localized extraction procedure and our approach to point spread function fitting. We compare the performance of both extraction methods on a set of 119 exposures on HD122064, an RV standard star. Both the optimal extraction and spectro-perfectionism pipelines achieve nearly identical RV precision under a six-exposure chronological binning. We discuss the importance of reliable calibration data for point spread function fitting and the potential of spectro-perfectionism for future precise radial velocity exoplanet studies.
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Matthew A. Cornachione, Adam S. Bolton, Jason D. Eastman, Maurice L. Wilson, Sharon X. Wang, Samson A. Johnson, David H. Sliski, Nate McCrady, Jason T. Wright, Peter Plavchan, John Asher Johnson, Jonathan Horner, Robert A. Wittenmeyer. 2019-11-12. A Full Implementation of Spectro-Perfectionism for Precise Radial Velocity Exoplanet Detection: A Test Case With the MINERVA Reduction Pipeline. https://doi.org/10.1088/1538-3873%2Fab4103
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