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dc.contributor.authorHutchinson, Timothy A.
dc.contributor.authorBolton, Adam S.
dc.contributor.authorDawson, Kyle S.
dc.contributor.authorPrieto, Carlos Allende
dc.contributor.authorBailey, Stephen
dc.contributor.authorBautista, Julian E.
dc.contributor.authorBrownstein, Joel R.
dc.contributor.authorConroy, Charlie
dc.contributor.authorGuy, Julien
dc.contributor.authorMyers, Adam D.
dc.contributor.authorNewman, Jeffrey A.
dc.contributor.authorPrakash, Abhishek
dc.contributor.authorCarnero-Rosell, Aurelio
dc.contributor.authorSeo, Hee-Jong
dc.contributor.authorTojeiro, Rita
dc.contributor.authorVivek, M.
dc.contributor.authorZhu, Guangtun Ben
dc.date.accessioned2017-01-26T12:30:13Z
dc.date.available2017-01-26T12:30:13Z
dc.date.issued2016-12-02
dc.identifier.citationHutchinson , T A , Bolton , A S , Dawson , K S , Prieto , C A , Bailey , S , Bautista , J E , Brownstein , J R , Conroy , C , Guy , J , Myers , A D , Newman , J A , Prakash , A , Carnero-Rosell , A , Seo , H-J , Tojeiro , R , Vivek , M & Zhu , G B 2016 , ' Redshift measurement and spectral classification for eBOSS galaxies with the redmonster software ' , Astronomical Journal , vol. 152 , no. 6 , 205 . https://doi.org/10.3847/0004-6256/152/6/205en
dc.identifier.issn0004-6256
dc.identifier.otherPURE: 249005399
dc.identifier.otherPURE UUID: 7e9ece2f-7c06-457d-ad0f-f5b5ca554a1a
dc.identifier.otherScopus: 85009097095
dc.identifier.otherWOS: 000390361100003
dc.identifier.urihttp://hdl.handle.net/10023/10177
dc.description.abstractWe describe the redmonster automated redshift measurement and spectral classification software designed for the extended Baryon Oscillation Spectroscopic Survey (eBOSS) of the Sloan Digital Sky Survey IV (SDSS-IV). We describe the algorithms, the template standard and requirements, and the newly developed galaxy templates to be used on eBOSS spectra. We present results from testing on early data from eBOSS, where we have found a 90.5% automated redshift and spectral classification success rate for the luminous red galaxy sample (redshifts 0.6 ≲ z ≲ 1.0). The redmonster performance meets the eBOSS cosmology requirements for redshift classification and catastrophic failures and represents a significant improvement over the previous pipeline. We describe the empirical processes used to determine the optimum number of additive polynomial terms in our models and an acceptable ΔXr2 threshold for declaring statistical confidence. Statistical errors on redshift measurement due to photon shot noise are assessed, and we find typical values of a few tens of km s-1. An investigation of redshift differences in repeat observations scaled by error estimates yields a distribution with a Gaussian mean and standard deviation of μ ∼ 0.01 and σ ∼ 0.65, respectively, suggesting the reported statistical redshift uncertainties are over-estimated by ∼54%. We assess the effects of object magnitude, signal-to-noise ratio, fiber number, and fiber head location on the pipeline's redshift success rate. Finally, we describe directions of ongoing development.
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofAstronomical Journalen
dc.rights© 2016. The American Astronomical Society. All rights reserved. This work is made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at: https://dx.doi.org/10.3847/0004-6256/152/6/205en
dc.subjectMethods: data analysisen
dc.subjectSurveysen
dc.subjectTechniques: spectroscopicen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subjectAstronomy and Astrophysicsen
dc.subjectSpace and Planetary Scienceen
dc.subject3rd-DASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleRedshift measurement and spectral classification for eBOSS galaxies with the redmonster softwareen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Physics and Astronomyen
dc.identifier.doihttps://doi.org/10.3847/0004-6256/152/6/205
dc.description.statusPeer revieweden
dc.identifier.urlhttps://arxiv.org/abs/1607.02432en


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