scholarly journals OzDES multifibre spectroscopy for the Dark Energy Survey: 3-yr results and first data release

2017 ◽  
Vol 472 (1) ◽  
pp. 273-288 ◽  
Author(s):  
M. J. Childress ◽  
C. Lidman ◽  
T. M. Davis ◽  
B. E. Tucker ◽  
J. Asorey ◽  
...  
2018 ◽  
Vol 239 (2) ◽  
pp. 18 ◽  
Author(s):  
T. M. C. Abbott ◽  
F. B. Abdalla ◽  
S. Allam ◽  
A. Amara ◽  
J. Annis ◽  
...  

2017 ◽  
Vol 474 (3) ◽  
pp. 4151-4168 ◽  
Author(s):  
Michael J Drinkwater ◽  
Zachary J Byrne ◽  
Chris Blake ◽  
Karl Glazebrook ◽  
Sarah Brough ◽  
...  

2019 ◽  
Vol 489 (2) ◽  
pp. 2525-2535 ◽  
Author(s):  
Adriano Agnello ◽  
Chiara Spiniello

ABSTRACT We have scanned 5000 deg2 of Southern Sky to search for strongly lensed quasars with five methods, all source oriented, but based on different assumptions and selection criteria. We present a list of high-grade candidates from each method (totalling 98 unique, new candidates), to facilitate follow-up spectroscopic campaigns, including two previously unknown quadruplets, WG 210014.9-445206.4 and WG 021416.37-210535.3. We analyse morphological searches based on Gaia multiplet detection and astrometric offsets, fibre-spectroscopic pre-selection, and X-ray and radio pre-selection. The performance and complementarity of the methods are evaluated on a common sample of known lenses in the Dark Energy Survey public Data Release 1 (DR1) footprint. We recovered in total 13 known lenses, of which 8 are quadruplets. Morphological and colour selection of objects, from the WISE andGaia-DR2 surveys, recovers most of those known lenses, but searches in the radio and X-ray cover regimes that are beyond the completeness of Gaia. Given the footprint, pre-selection, and depth limits, the current number of quads indicates that the union of these searches is complete, and the expected purity on high-grade candidates is ${\approx}60{{\ \rm per\ cent}}$. Ongoing, spectroscopic campaigns confirm this estimate.


2020 ◽  
Vol 496 (1) ◽  
pp. 19-35 ◽  
Author(s):  
C Lidman ◽  
B E Tucker ◽  
T M Davis ◽  
S A Uddin ◽  
J Asorey ◽  
...  

ABSTRACT We present a description of the Australian Dark Energy Survey (OzDES) and summarize the results from its 6 years of operations. Using the 2dF fibre positioner and AAOmega spectrograph on the 3.9-m Anglo-Australian Telescope, OzDES has monitored 771 active galactic nuclei, classified hundreds of supernovae, and obtained redshifts for thousands of galaxies that hosted a transient within the 10 deep fields of the Dark Energy Survey. We also present the second OzDES data release, containing the redshifts of almost 30 000 sources, some as faint as rAB = 24 mag, and 375 000 individual spectra. These data, in combination with the time-series photometry from the Dark Energy Survey, will be used to measure the expansion history of the Universe out to z ∼ 1.2 and the masses of hundreds of black holes out to z ∼ 4. OzDES is a template for future surveys that combine simultaneous monitoring of targets with wide-field imaging cameras and wide-field multi-object spectrographs.


2010 ◽  
Vol 401 (3) ◽  
pp. 1429-1452 ◽  
Author(s):  
Michael J. Drinkwater ◽  
Russell J. Jurek ◽  
Chris Blake ◽  
David Woods ◽  
Kevin A. Pimbblet ◽  
...  

Author(s):  
Michael J Longo

A visual study of spiral galaxies from a subset of spiral galaxies in the Dark Energy Survey Data Release 2 finds that a significant number show long tails of baryonic matter, often much longer than the apparent diameter of the galaxy. Examples from less than 10% of the candidates are shown here and their possible origin is discussed. The tails were only seen connected to spiral galaxies; no examples of tails connected to elliptical galaxies or to artifacts were found. In many examples the tail is associated with what appears to be a colliding galaxy, but in many others there is no sign of one. An intriguing possibility is that in the latter cases the tails are produced by an encounter with an unseen object, either a massive black hole or a compact galaxy with mostly dark matter.


2019 ◽  
Vol 874 (1) ◽  
pp. 106 ◽  
Author(s):  
D. Brout ◽  
M. Sako ◽  
D. Scolnic ◽  
R. Kessler ◽  
C. B. D’Andrea ◽  
...  

2021 ◽  
Vol 255 (2) ◽  
pp. 20
Author(s):  
T. M. C. Abbott ◽  
M. Adamów ◽  
M. Aguena ◽  
S. Allam ◽  
A. Amon ◽  
...  

2020 ◽  
Author(s):  
Luiz A. Nicolaci Da Costa ◽  
Angelo Fausti Neto ◽  
Ricardo L. C. Ogando ◽  
Marcio A. G. Maia ◽  
Riccardo Campisano

O Dark Energy Survey, após um período proprietário, disponibiliza para a comunidade seus dados processados na forma de imagens, catálogos, e mapas. O portal científico do LIneA permite que esses diferentes produtos necessários para a análise científica sejam integrados e distribuídos para a colaboração e o público. Descrevemos um query builder para juntar eficientemente esses produtos.


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