A Data Reduction Pipeline for Gemini-North’s Near-infrared Integral Field Spectrometer

Marie Lemoine-Busserolle, Nathaniel Comeau, Collin Kielty, Kerry Klemmer, Megan E. Schwamb

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Abstract

We present a python package, called Nifty4Gemini, and its associated Pyraf/Python based pipeline for processing Gemini-North Near-Infrared Integral Field Spectrometer (NIFS) observations. Built on the Gemini IRAF package's capabilities, Nifty4Gemini's associated NIFS pipeline is a data reduction package which reduces NIFS raw data and produces a flux and wavelength calibrate science cube with the full signal-to-noise ratio, ready for science analysis. It utilizes tasks from the Gemini IRAF package, PyRAF, and packages from the Gemini AstroConda environment. Nifty4Gemini is a configuration-based pipeline framework written in python which is easily extensible to integrate additional pipelines and user-defined scripts. Nifty4Gemini is open source and available for download at https://github.com/mrlb05/Nifty4Gemini with its documentation available at https://nifty4gemini.readthedocs.io/en/latest/. A permanent version of the software described in this paper is archived at https://zenodo.org/record/1000413.
Original languageEnglish
Article number153
Number of pages15
JournalAstronomical Journal
Volume158
Issue number4
DOIs
Publication statusPublished - 23 Sep 2019

Keywords

  • instrumentation: spectrographs
  • methods: data analysis
  • methods: observational
  • techniques: imaging spectroscopy

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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