A full implementation of spectro-perfectionism for precise radial velocity exoplanet detection: A test case with the MINERVA reduction pipeline

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. Wittenmyer

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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 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 spectroperfectionism 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.

Original languageEnglish
Article number124503
JournalPublications of the Astronomical Society of the Pacific
Volume131
Issue number1006
DOIs
StatePublished - Dec 2019

Keywords

  • Planets and satellites: Detection
  • Techniques: Image processing
  • Techniques: Radial velocities
  • Techniques: Spectroscopic

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