MARZ: Manual and automatic redshifting software

被引：109

作者：

Hinton, S. R. ^{[1
,2
]}

Davis, Tamara M. ^{[1
]}

Lidman, C. ^{[3
]}

Glazebrook, K. ^{[4
]}

Lewis, G. F. ^{[5
]}

机构：

[1] Univ Queensland, Sch Math & Phys, Brisbane, Qld 4072, Australia

[2] ARC Ctr Excellence All Sky Astrophys CAASTRO, Brisbane, Qld, Australia

[3] Australian Astron Observ, N Ryde, NSW 2113, Australia

[4] Univ Technol, Ctr Astrophys & Supercomp, Hawthorn, Vic 3122, Australia

[5] Univ Sydney, Sch Phys, Sydney Inst Astron, A28, Sydney, NSW 2006, Australia

来源：

ASTRONOMY AND COMPUTING | 2016年 / 15卷

基金：

澳大利亚研究理事会;

关键词：

Online; Spectroscopic; Redshift; Software; Marz; DIGITAL SKY SURVEY; 1ST DATA RELEASE; DATA REDUCTION; SURVEY DESIGN; GALAXY; SPECTRA;

D O I：

10.1016/j.ascom.2016.03.001

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

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. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：61 / 71

页数：11

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