Documentation scienceplus.abes.fr version Bêta

À propos de : On-sky characterisation of the VISTA NB118 narrow-band filters at 1.19 μm        

AttributsValeurs
type
Is Part Of
Subject
Title
  • On-sky characterisation of the VISTA NB118 narrow-band filters at 1.19 μm
Date
has manifestation of work
related by
Author
Abstract
  • Observations of the high redshift Universe through narrow-band filters have proven very successful in the last decade. The 4-m VISTA telescope, equipped with the wide-field camera VIRCAM, offers a major step forward in wide-field near-infrared imaging, and in order to utilise VISTA’s large field-of-view and sensitivity, the Dark Cosmology Centre provided a set of 16 narrow-band filters for VIRCAM. These NB118 filters are centered at a wavelength near 1.19  μm in a region with few airglow emission lines. The filters allow the detection of H α emitters at z = 0.8, H β and [O iii] emitters at z ≈ 1.4, [O ii] emitters at z = 2.2, and Ly α emitters at z = 8.8. Based on guaranteed time observations of the COSMOS field we here present a detailed description and characterization of the filters and their performance. In particular we provide sky-brightness levels and depths for each of the 16 detector/filter sets and find that some of the filters show signs of some red-leak. We identify a sample of 2 × 10 3 candidate emission-line objects in the data. Cross-correlating this sample with a large set of galaxies with known spectroscopic redshifts we determine the “in situ” passbands of the filters and find that they are shifted by about 3.5 − 4 nm (corresponding to 30% of the filter width) to the red compared to the expectation based on the laboratory measurements. Finally, we present an algorithm to mask out persistence in VIRCAM data. Scientific results extracted from the data will be presented separately.
article type
publisher identifier
  • aa21814-13
Date Copyrighted
Rights
  • © ESO, 2013
Rights Holder
  • ESO
is part of this journal
is primary topic of



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata