English

Eureka!: An End-to-End Pipeline for JWST Time-Series Observations

Instrumentation and Methods for Astrophysics 2023-01-09 v2 Earth and Planetary Astrophysics

Abstract

Eureka!\texttt{Eureka!} is a data reduction and analysis pipeline for exoplanet time-series observations, with a particular focus on JWST data. Over the next 1-2 decades, JWST will pursue four main science themes: Early Universe, Galaxies Over Time, Star Lifecycle, and Other Worlds. Our focus is on providing the astronomy community with an open source tool for the reduction and analysis of time-series observations of exoplanets in pursuit of the fourth of these themes, Other Worlds. The goal of Eureka!\texttt{Eureka!} is to provide an end-to-end pipeline that starts with uncalibrated FITS files and ultimately yields precise exoplanet spectra. The pipeline has a modular structure with six stages, and each stage uses a "Eureka! Control File" (ECF) to allow for easy control of the pipeline's behavior. Stage 5 also uses a "Eureka! Parameter File" (EPF) to control the fitted parameters. We provide template ECFs for the MIRI, NIRCam, NIRISS, and NIRSpec instruments on JWST and the WFC3 instrument on the Hubble Space Telescope (HST). These templates give users a good starting point for their analyses, but Eureka!\texttt{Eureka!} is not intended to be used as a black box tool, and users should expect to fine-tune some settings for each observation in order to achieve optimal results. At each stage, the pipeline creates intermediate figures and outputs that allow users to compare Eureka!\texttt{Eureka!}'s performance using different parameter settings or to compare Eureka!\texttt{Eureka!} with an independent pipeline. The ECF used to run each stage is also copied into the output folder from each stage to enhance reproducibility. Finally, while Eureka!\texttt{Eureka!} has been optimized for exoplanet observations (especially the latter stages of the code), much of the core functionality could also be repurposed for JWST time-series observations in other research domains thanks to Eureka!\texttt{Eureka!}'s modularity.

Keywords

Cite

@article{arxiv.2207.03585,
  title  = {Eureka!: An End-to-End Pipeline for JWST Time-Series Observations},
  author = {Taylor J. Bell and Eva-Maria Ahrer and Jonathan Brande and Aarynn L. Carter and Adina D. Feinstein and Giannina Guzman Caloca and Megan Mansfield and Sebastian Zieba and Caroline Piaulet and Björn Benneke and Joseph Filippazzo and Erin M. May and Pierre-Alexis Roy and Laura Kreidberg and Kevin B. Stevenson},
  journal= {arXiv preprint arXiv:2207.03585},
  year   = {2023}
}

Comments

6 pages, 1 figure, published in JOSS