St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Register / Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Redshift measurement and spectral classification for eBOSS galaxies with the redmonster software

Thumbnail
View/Open
Tojeiro_2016_AJ_eBOSSgalaxies_FinalPublishedVersion.pdf (2.538Mb)
Date
02/12/2016
Author
Hutchinson, Timothy A.
Bolton, Adam S.
Dawson, Kyle S.
Prieto, Carlos Allende
Bailey, Stephen
Bautista, Julian E.
Brownstein, Joel R.
Conroy, Charlie
Guy, Julien
Myers, Adam D.
Newman, Jeffrey A.
Prakash, Abhishek
Carnero-Rosell, Aurelio
Seo, Hee-Jong
Tojeiro, Rita
Vivek, M.
Zhu, Guangtun Ben
Keywords
Methods: data analysis
Surveys
Techniques: spectroscopic
QB Astronomy
QC Physics
Astronomy and Astrophysics
Space and Planetary Science
3rd-DAS
Metadata
Show full item record
Abstract
We 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.
Citation
Hutchinson , 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/10.3847/0004-6256/152/6/205
Publication
Astronomical Journal
Status
Peer reviewed
DOI
https://doi.org/10.3847/0004-6256/152/6/205
ISSN
0004-6256
Type
Journal article
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/10.3847/0004-6256/152/6/205
Collections
  • University of St Andrews Research
URL
https://arxiv.org/abs/1607.02432
URI
http://hdl.handle.net/10023/10177

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter