Marz: manual and automatic redshifting software

Hinton, S. R., Davis, Tamara M., Lidman, C., Glazebrook, K. and Lewis, G. F. (2016) Marz: manual and automatic redshifting software. Astronomy and Computing, 15 61-71. doi:10.1016/j.ascom.2016.03.001

Author Hinton, S. R.
Davis, Tamara M.
Lidman, C.
Glazebrook, K.
Lewis, G. F.
Title Marz: manual and automatic redshifting software
Journal name Astronomy and Computing
ISSN 2213-1337
Publication date 2016-04-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.ascom.2016.03.001
Open Access Status Not Open Access
Volume 15
Start page 61
End page 71
Total pages 11
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
Subject 3103 Astronomy and Astrophysics
1706 Computer Science Applications
Abstract The Australian Dark Energy Survey (OzDES) is a 100-night spectroscopic survey underway on the Anglo-Australian Telescope using the fibre-fed 2-degree-field (2dF) spectrograph. We have developed a new redshifting application Marz with greater usability, flexibility, and the capacity to analyse a wider range of object types than the runz software package previously used for redshifting spectra from 2dF. Marz is an open-source, client-based, Javascript web-application which provides an intuitive interface and powerful automatic matching capabilities on spectra generated from the AAOmega spectrograph to produce high quality spectroscopic redshift measurements. The software can be run interactively or via the command line, and is easily adaptable to other instruments and pipelines if conforming to the current FITS file standard is not possible. Behind the scenes, a modified version of the autoz cross-correlation algorithm is used to match input spectra against a variety of stellar and galaxy templates, and automatic matching performance for OzDES spectra has increased from 54% (runz) to 91% (Marz). Spectra not matched correctly by the automatic algorithm can be easily redshifted manually by cycling automatic results, manual template comparison, or marking spectral features.
Keyword Marz
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID CE110001020
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
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