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A Full Implementation of Spectro-perfectionism for Precise Radial Velocity Exoplanet Detection

by Bolton, Adam S. , Sliski, David H. , Wang, Sharon X. , Johnson, John Asher , Wilson, Maurice L. , Eastman, Jason D. , Johnson, Samson A. , Wittenmyer, Robert A. , Plavchan, Peter , McCrady, Nate , Wright, Jason T. , Cornachione, Matthew A. , Horner, Jonathan

in Astronomical Software, Data Analysis, and Techniques

2019

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A Full Implementation of Spectro-perfectionism for Precise Radial Velocity Exoplanet Detection

in Astronomical Software, Data Analysis, and Techniques

2019

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Journal Article

A Full Implementation of Spectro-perfectionism for Precise Radial Velocity Exoplanet Detection

Bolton, Adam S.,

Sliski, David H.,

Wang, Sharon X.,

Johnson, John Asher,

Wilson, Maurice L.,

Eastman, Jason D.,

Johnson, Samson A.,

Wittenmyer, Robert A.,

Plavchan, Peter,

McCrady, Nate,

Wright, Jason T.,

Cornachione, Matthew A.,

Horner, Jonathan

2019

Overview

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 minutes. We describe our localized extraction procedure and our approach to point-spread function (PSF) fitting. We compare the performance of both extraction methods on a set of 119 exposures on HD 122064, 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 PSF fitting and the potential of spectro-perfectionism for future precise radial velocity exoplanet studies.

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Publisher

IOP Publishing Limited

Subject

Astronomical Software, Data Analysis, and Techniques