PyWiFeS: A Rapid Data Reduction Pipeline for the Wide Field Spectrograph (WiFeS)

Abstract

We present PyWiFeS, a new Python-based data reduction pipeline for the Wide Field Spectrograph (WiFeS). PyWiFeS consists of a series of core data processing routines built on standard scientific Python packages commonly used in astronomical applications. Included in PyWiFeS is an implementation of a new global optical model of the spectrograph which provides wavelengths solutions accurate to $\sim$0.05 Å (RMS) across the entire detector. The core PyWiFeS package is designed to be scriptable to enable batch processing of large quantities of data, and we present a default format for handling of observation metadata and scripting of data reduction.

23 pages, 18 figures. Published in Astrophysics & Space Science at http://link.springer.com/article/10.1007/s10509-013-1682-0

References in corpus (2)

• The Wide Field Spectrograph (WiFeS): Performance and Data Reduction
• High star formation rates as the origin of turbulence in early and modern disk galaxies

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