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 language | English |
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Article number | 153 |
Number of pages | 15 |
Journal | Astronomical Journal |
Volume | 158 |
Issue number | 4 |
DOIs | |
Publication status | Published - 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