PyWiFeS: A rapid data reduction pipeline for the wide field spectrograph (WiFeS)

Michael J. Childress; Frédéric P.A. Vogt; Jon Nielsen; Robert G. Sharp

doi:10.1007/s10509-013-1682-0

PyWiFeS: A rapid data reduction pipeline for the wide field spectrograph (WiFeS)

Michael J. Childress, Frédéric P.A. Vogt, Jon Nielsen, Robert G. Sharp

Research output: Contribution to journal › Article › peer-review

134 Citations (Scopus)

Abstract

We present PyWiFeS, a new Python-based data reduction pipeline for theWide 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 ∼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.

Original language	English
Pages (from-to)	617-636
Number of pages	20
Journal	Astrophysics and Space Science
Volume	349
Issue number	2
DOIs	https://doi.org/10.1007/s10509-013-1682-0
Publication status	Published - Feb 2014

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abstract = "We present PyWiFeS, a new Python-based data reduction pipeline for theWide 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 ∼0.05 {\AA} (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.",

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AU - Vogt, Frédéric P.A.

AU - Nielsen, Jon

AU - Sharp, Robert G.

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AB - We present PyWiFeS, a new Python-based data reduction pipeline for theWide 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 ∼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.

KW - Instrumentation: spectrographs

KW - Methods: data analysis

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EP - 636

JO - Astrophysics and Space Science

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ER -

PyWiFeS: A rapid data reduction pipeline for the wide field spectrograph (WiFeS)

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