OzDES multifibre spectroscopy for the Dark Energy Survey: first-year operation and results

Yuan, F.; Lidman, C.; Davis, Tamara M.; Childress, M.; Abdalla, F. B.; Banerji, M.; Buckley-Geer, E.; Rosell, A. Carnero; Carollo, D.; Castander, F. J.; D’Andrea, C. B.; Diehl, H. T.; Cunha, C. E.; Foley, R. J.; Frieman, J.; Glazebrook, Karl; Gschwend, J.; Hinton, S. R.; Jouvel, S.; Keßler, R.; Kim, A. G.; King, A.; Kuêhn, K.; Kuhlmann, S. E.; Lewis, Geraint F.; Lin, Huan; Martini, Paul; McMahon, R. G.; Mould, Jeremy; Nichol, R. C.; Norris, R. P.; O’Neill, C. R.; Ostrovski, F.; Papadopoulos, A.; Parkinson, David; Reed, S. L.; Romer, A. K.; Rooney, Philip; Rozo, Eduardo; Rykoff, E. S.; Šako, M.; Scalzo, R.; Schmidt, B. P.; Scolnic, D.; Seymour, N.; Sharp, Robert; Sobreira, F.; Sullivan, M.; Thomas, R. C.; Tucker, D. L.; Uddin, S. A.; Wechsler, Risa H.; Wester, W. C.; Wilcox, H.; Zhang, Bonnie; Abbott, T. M. C.; Allam, S.; Bauer, A.; Benoit-Lévy, A.; Bertin, E.; Brooks, D.; Burke, D. L.; Kind, M. Carrasco; Covarrubias, R.; Crocce, M.; Costa, L. N. da; DePoy, D. L.; Desai, S.; Doel, P.; Eifler, T. F.; Evrard, A. E.; Neto, A. Fausti; Flaugher, B.; Fosalba, P.; Gaztañaga, E.; Gerdes, D. W.; Gruen, D.; Gruendl, R. A.; Honscheid, K.; James, D. J.; Kuropatkin, N.; Lahav, O.; Li, T. S.; Maia, M. A. G.; Makler, M.; Marshall, J. L.; Miller, Christopher J.; Miquel, R.; Ogando, R. L. C.; Plazas, A. A.; Roodman, A.; Sánchez, E.; Scarpine, V.; Schubnell, M.; Sevilla-Noarbe, I.; Smith, R. C.; Soares-Santos, M.; Suchyta, E.; Swanson, M. E. C.; Tarlè, G.; Thaler, J. J.; Walker, A. R.

doi:10.1093/mnras/stv1507

Cited by 107 publications

(117 citation statements)

References 57 publications

Supporting

Mentioning

113

Contrasting

Order By: Relevance

“…As described in [35], training of the red-sequence template requires overlapping spectroscopic redshifts, which in this work were obtained from SDSS in the Stripe 82 region [36] and the OzDES spectroscopic survey in the DES deep supernova fields [37].…”

Section: B Redmagic Samplementioning

confidence: 99%

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

Elvin-Poole¹,

Crocce²,

Ross³

et al. 2018

Phys. Rev. D

Self Cite

163

235

View full text Add to dashboard Cite

We measure the clustering of DES year 1 galaxies that are intended to be combined with weak lensing samples in order to produce precise cosmological constraints from the joint analysis of large-scale structure and lensing correlations. Two-point correlation functions are measured for a sample of 6.6 × 10 5 luminous red galaxies selected using the REDMAGIC algorithm over an area of 1321 square degrees, in the redshift range 0.15 < z < 0.9, split into five tomographic redshift bins. The sample has a mean redshift uncertainty of σ z =ð1 þ zÞ ¼ 0.017. We quantify and correct spurious correlations induced by spatially variable survey properties, testing their impact on the clustering measurements and covariance. We demonstrate the sample's robustness by testing for stellar contamination, for potential biases that could arise from the systematic correction, and for the consistency between the two-point auto-and cross-correlation functions. We show that the corrections we apply have a significant impact on the resultant measurement of cosmological parameters, but that the results are robust against arbitrary choices in the correction method. We find the linear galaxy bias in each redshift bin in a fiducial cosmology to be bðσ 8 =0.81Þj z¼0.24 ¼ 1.40 AE 0.07, bðσ 8 =0.81Þj z¼0.38 ¼ 1.60 AE 0.05, bðσ 8 =0.81Þj z¼0.53 ¼ 1.60 AE 0.04 for galaxies with luminosities L=L Ã > 0.5, bðσ 8 =0.81Þj z¼0.68 ¼ 1.93 AE 0.04 for L=L Ã > 1 and bðσ 8 =0.81Þj z¼0.83 ¼ 1.98 AE 0.07 for L=L Ã > 1.5, broadly consistent with expectations for the redshift and luminosity dependence of the bias of red galaxies. We show these measurements to be consistent with the linear bias obtained from tangential shear measurements.

show abstract

Section: B Redmagic Samplementioning

confidence: 99%

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

Elvin-Poole¹,

Crocce²,

Ross³

et al. 2018

Phys. Rev. D

Self Cite

163

235

View full text Add to dashboard Cite

show abstract

“…Given our magnitude limits, we expect that a large fraction/majority of the AGN have been pre-identified. Indeed, the OzDES spectroscopic survey (Yuan et al 2015) already includes 1700 AGN in the 30 deg 2 DES deep fields, which partly overlap with our fields. Further spectroscopic follow-up may be necessary to classify previously unidentified AGN.…”

Section: Discussion Of Practicalmentioning

confidence: 80%

Cosmology with AGN dust time lags–simulating the new VEILS survey

Hönig

Watson

Kishimoto

et al. 2016

Mon. Not. R. Astron. Soc.

Self Cite

View full text Add to dashboard Cite

The time lag between optical and near-infrared continuum emission in active galactic nuclei (AGN) shows a tight correlation with luminosity and has been proposed as a standardisable candle for cosmology. In this paper, we explore the use of these AGN hot-dust time lags for cosmological model fitting under the constraints of the new VISTA Extragalactic Infrared Legacy Survey VEILS. This new survey will target a 9 deg 2 field observed in J-and K s-band with a 14-day cadence and will run for three years. The same area will be covered simultaneously in the optical griz bands by the Dark Energy Survey, providing complementary time-domain optical data. We perform realistic simulations of the survey setup, showing that we expect to recover dust time lags for about 450 objects out of a total of 1350 optical type 1 AGN, spanning a redshift range of 0.1 < z < 1.2. We use the lags recovered from our simulations to calculate precise distance moduli, establish a Hubble diagram, and fit cosmological models. Assuming realistic scatter in the distribution of the dust around the AGN as well as in the normalisation of the lag-luminosity relation, we are able to constrain Ω Λ in ΛCDM with similar accuracy as current supernova samples. We discuss the benefits of combining AGN and supernovae for cosmology and connect the present work to future attempts to reach out to redshifts of z > 4.

show abstract

“…The Australian Dark Energy Survey (OzDES; Yuan et al 2015) is a spectroscopic survey of the DES supernova fields using the AAOmega spectrograph ) on the Anglo-Australian Telescope (AAT). The field of view of the AAT multi-object fiber-positioning system (Lewis et al 2002) is well matched to DECam, making the AAT a wellsuited spectroscopic follow-up instrument for DES.…”

Section: The Ozdes Quasar Catalogmentioning

confidence: 99%

“…Objects that range in brightness from m r ∼17 mag to m r ∼25 mag are selected for spectroscopy via a variety of criteria, such as supernova candidates, quasar candidates, galaxy cluster members, and photometric redshift calibration candidates (see Yuan et al 2015 for further details). Under most circumstances, an object is observed repeatedly until a redshift is obtained.…”

Section: The Ozdes Quasar Catalogmentioning

confidence: 99%

“…DES includes 10 fields with a total area of ∼30 deg 2 that are surveyed at a higher cadence to search for Type Ia supernovae (SNe Ia), and are known as the DES supernova fields. We also present a catalog of spectroscopically confirmed quasars observed by OzDES (Yuan et al 2015) in the DES supernova fields. OzDES is a complementary spectroscopic survey that targets the supernova fields to obtain redshifts for supernovae host galaxies and to conduct a quasar reverberation mapping experiment (King et al 2015) and other projects.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Study of Quasar Selection in the Supernova Fields of the Dark Energy Survey

Tie¹,

Martini²,

Mudd³

et al. 2017

Self Cite

View full text Add to dashboard Cite

We present a study of quasar selection using the supernova fields of the Dark Energy Survey (DES). We used a quasar catalog from an overlapping portion of the SDSS Stripe 82 region to quantify the completeness and efficiency of selection methods involving color, probabilistic modeling, variability, and combinations of color/ probabilistic modeling with variability. In all cases, we considered only objects that appear as point sources in the DES images. We examine color selection methods based on the Wide-field Infrared Survey Explorer2 color, a mixture of WISE and DES colors (g − i andiW 1), and a mixture of Vista Hemisphere Survey and DES colors (g − i and i − K ). For probabilistic quasar selection, we used XDQSO, an algorithm that employs an empirical multi-wavelength flux model of quasars to assign quasar probabilities. Our variability selection uses the multi-band χ 2 -probability that sources are constant in the DES Year 1 griz-band light curves. The completeness and efficiency are calculated relative to an underlying sample of point sources that are detected in the required selection bands and pass our data quality and photometric error cuts. We conduct our analyses at two magnitude limits, i<19.8 mag and i<22 mag. For the subset of sources with W1 and W2 detections, the -W W 1 2 color or XDQSOz method combined with variability gives the highest completenesses of >85% for both i-band magnitude limits and efficiencies of >80% to the bright limit and >60% to the faint limit; however, the giW1 and giW1+variability methods give the highest quasar surface densities. The XDQSOz method and combinations of W1W2/giW1/XDQSOz with variability are among the better selection methods when both high completeness and high efficiency are desired. We also present the OzDES Quasar Catalog of 1263 spectroscopically confirmed quasars from three years of OzDES observation in the 30 deg 2 of the DES supernova fields. The catalog includes quasars with redshifts up to z∼4 and brighter than i = 22 mag, although the catalog is not complete up to this magnitude limit.

show abstract

OzDES multifibre spectroscopy for the Dark Energy Survey: first-year operation and results

Cited by 107 publications

References 57 publications

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

Cosmology with AGN dust time lags–simulating the new VEILS survey

A Study of Quasar Selection in the Supernova Fields of the Dark Energy Survey

Contact Info

Product

Resources

About