4.7 Article

Direct observation of cosmic strings via their strong gravitational lensing effect - II. Results from the HST/ACS image archive

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2010.16562.x

关键词

gravitational lensing: strong; surveys; cosmology: observations

资金

  1. TABASGO foundation
  2. NSF [NSF-0642621, AST05-07732]
  3. Sloan Foundation
  4. NASA, Space Telescope Science Institute [HST-AR-10676, NAS 5-26 555]
  5. US Department of Energy [DE-AC02-76SF00515]

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We have searched 4.5 deg2 of archival Hubble Space Telescope/Advanced Camera for Surveys (HST/ACS) images for cosmic strings, identifying close pairs of similar, faint galaxies and selecting groups whose alignment is consistent with gravitational lensing by a long, straight string. We find no evidence for cosmic strings in five large-area HST treasury surveys (covering a total of 2.22 deg2) or in any of 346 multifilter guest observer images (1.18 deg2). Assuming that simulations accurately predict the number of cosmic strings in the Universe, this non-detection allows us to place upper limits on the dimensionless Universal cosmic string tension of G mu/c2 < 2.3 x 10-6 and cosmic string density of (s) < 2.1 x 10-5 at the 95 per cent confidence level (marginalizing over the other parameter in each case). We find four dubious cosmic string candidates in 318 single-filter guest observer images (1.08 deg2), which we are unable to conclusively eliminate with existing data. The confirmation of any of these candidates as cosmic strings would imply G mu/c2 approximate to 10-6 and (s) approximate to 10-5. However, we estimate that there is at least a 92 per cent chance that these string candidates are random alignments of galaxies. If we assume that these candidates are indeed false detections, our final limits on G mu/c2 and (s) fall to 6.5 x 10-7 and 7.3 x 10-6, respectively. Due to the extensive sky coverage of the HST/ACS image archive, the above limits are universal. They are quite sensitive to the number of fields being searched and could be further reduced by more than a factor of 2 using forthcoming HST data.

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