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Title: OzDES multifibre spectroscopy for the Dark Energy Survey: Three year results and first data release

Journal Article · · Monthly Notices of the Royal Astronomical Society
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We present results for the first three years of OzDES, a six year programme to obtain redshifts for objects in the Dark Energy Survey (DES) supernova fields using the 2dF fibre positioner and AAOmega spectrograph on the Anglo-Australian Telescope. OzDES is a multi-object spectroscopic survey targeting multiple types of targets at multiple epochs over a multiyear baseline and is one of the first multi-object spectroscopic surveys to dynamically include transients into the target list soon after their discovery. At the end of three years, OzDES has spectroscopically confirmed almost 100 supernovae, and has measured redshifts for 17 000 objects, including the redshifts of 2566 supernova hosts. We examine how our ability to measure redshifts for targets of various types depends on signal-to-noise ratio (S/N), magnitude and exposure time, finding that our redshift success rate increases significantly at a S/N of 2-3 per 1-Å bin. We also find that the change in S/N with exposure time closely matches the Poisson limit for stacked exposures as long as 10 h. We use these results to predict the redshift yield of the full OzDES survey, as well as the potential yields of future surveys on other facilities such as (i.e. the 4-m Multi-Object Spectroscopic Telescope, the Subaru Prime Focus Spectrograph and the Maunakea Spectroscopic Explorer). This work marks the first OzDES data release, comprising 14 693 redshifts. OzDES is on target to obtain over 30 000 redshifts over the 6-yr duration of the survey, including a yield of approximately 5700 supernova host-galaxy redshifts.

Research Organization:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Contributing Organization:
DES Collaboration
Grant/Contract Number:
AC02-07CH11359; AC05-00OR22725; AC02-76SF00515; AC02-05CH11231
OSTI ID:
1375905
Alternate ID(s):
OSTI ID: 1410194; OSTI ID: 1410556; OSTI ID: 1476564
Report Number(s):
FERMILAB-PUB-17-089-E; arXiv:1708.04526; 1616074
Journal Information:
Monthly Notices of the Royal Astronomical Society, Vol. 472, Issue 1; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 60 works
Citation information provided by
Web of Science

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Cited By (26)

Type Ia Supernova Cosmology journal March 2018
Follow Up of GW170817 and Its Electromagnetic Counterpart by Australian-Led Observing Programmes journal January 2017
The XXL Survey: XXVII. The 3XLSS point source catalogue journal November 2018
Preliminary Results of Using k -nearest-neighbor Regression to Estimate the Redshift of Radio-selected Data Sets journal August 2019
Rapidly evolving transients in the Dark Energy Survey journal August 2018
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning journal November 2018
C iv black hole mass measurements with the Australian Dark Energy Survey (OzDES) journal June 2019
Can redshift errors bias measurements of the Hubble Constant? journal September 2019
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping from the Dark Energy Survey journal July 2018
The Evolution of Environmental Quenching Timescales to z ∼ 1.6: Evidence for Dynamically Driven Quenching of the Cluster Galaxy Population journal October 2018
First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation journal April 2019
The Spectroscopic Signature of Variability in High-redshift Quasars journal July 2019
Hierarchical Modeling and Statistical Calibration for Photometric Redshifts journal August 2019
DASH: Deep Learning for the Automated Spectral Classification of Supernovae and Their Hosts journal November 2019
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard-star Fields journal January 2020
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters journal February 2019
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping from the Dark Energy Survey text January 2018
Follow up of GW170817 and its electromagnetic counterpart by Australian-led observing programs text January 2017
Rapidly evolving transients in the Dark Energy Survey text January 2018
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning text January 2018
Hierarchical modeling and statistical calibration for photometric redshifts text January 2018
Preliminary results of using k-Nearest Neighbours Regression to estimate the redshift of radio selected datasets text January 2018
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields text January 2018
CIV Black Hole Mass Measurements with the Australian Dark Energy Survey (OzDES) text January 2019
DASH: Deep Learning for the Automated Spectral Classification of Supernovae and their Hosts text January 2019
Can redshift errors bias measurements of the Hubble Constant? text January 2019

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