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

8 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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