4.7 Article

SDSS-IV MaNGA: a catalogue of spectroscopically detected strong galaxy-galaxy lens candidates

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 515, Issue 4, Pages 4953-4980

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stac1736

Keywords

gravitational lensing: strong; galaxies: general; cosmology: miscellaneous

Funding

  1. Alfred P. Sloan Foundation
  2. U.S. Department of Energy Office of Science
  3. Center for High Performance Computing at the University of Utah
  4. Brazilian Participation Group
  5. Carnegie Institution for Science,Carnegie Mellon University
  6. Center for Astrophysics | Harvard Smithsonian
  7. Chilean Participation Group
  8. French Participation Group
  9. Instituto de Astrof'isica de Canarias
  10. Johns Hopkins University
  11. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  12. Korean Participation Group
  13. Lawrence Berkeley National Laboratory
  14. Leibniz Institut fur Astrophysik Potsdam (AIP)
  15. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  16. Max-Planck-Institut fur Astrophysik (MPA Garching)
  17. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  18. National Astronomical Observatories of China
  19. New Mexico State University
  20. New York University
  21. University of Notre Dame
  22. The Ohio State University
  23. Pennsylvania State University
  24. Shanghai Astronomical Observatory
  25. United Kingdom Participation Group
  26. Universidad Nacional Aut 'onoma de M'exico
  27. University of Arizona
  28. University of Colorado Boulder
  29. University of Oxford
  30. University of Portsmouth
  31. University of Utah
  32. University of Virginia
  33. University of Washington
  34. University of Wisconsin
  35. Vanderbilt University
  36. Yale University

Ask authors/readers for more resources

In this study, candidate emission-lines of strong galaxy-galaxy gravitational lens were detected using spectroscopic methods. The researchers utilized various techniques to determine the probable strong lensing regime for each candidate and provided spectroscopic redshifts and narrow-band images as data.
We spectroscopically detected candidate emission-lines of 8 likely, 17 probable, and 69 possible strong galaxy-galaxy gravitational lens candidates found within the spectra of approximate to 10 000 galaxy targets contained within the completed Mapping of Nearby Galaxies at Apache Point Observatory survey. This search is based upon the methodology of the Spectroscopic Identification of Lensing Objects project, which extends the spectroscopic detection methods of the BOSS Emission-Line Lensing Survey and the Sloan Lens ACS Survey. We scanned the co-added residuals that we constructed from stacks of foreground subtracted row-stacked-spectra so a sigma-clipping method can be used to reject cosmic rays and other forms of transients that impact only a small fraction of the combined exposures. We also constructed narrow-band images from the signal to noise of the co-added residuals to observe signs of lensed source images. We also use several methods to compute the probable strong lensing regime for each candidate lens to determine which candidate background galaxies may reside sufficiently near the galaxy centre for strong lensing to occur. We present the spectroscopic redshifts within a value-added catalogue (VAC) for data release 17 (DR17) of SDSS-IV. We also present the lens candidates, spectroscopic data, and narrow-band images within a VAC for DR17. High resolution follow-up imaging of these lens candidates are expected to yield a sample of confirmed grade-A lenses with sufficient angular size to probe possible discrepancies between the mass derived from a best-fitting lens model, and the dynamical mass derived from the observed stellar velocities.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available