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Monthly notices of the Royal Astronomical Society, 2014-08, Vol.442 (3), p.2017-2035
2014

Details

Autor(en) / Beteiligte
Titel
Inference of the cold dark matter substructure mass function at z = 0.2 using strong gravitational lenses
Ist Teil von
  • Monthly notices of the Royal Astronomical Society, 2014-08, Vol.442 (3), p.2017-2035
Ort / Verlag
London: Oxford University Press
Erscheinungsjahr
2014
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • We present the results of a search for galaxy substructures in a sample of 11 gravitational lens galaxies from the Sloan Lens ACS Survey by Bolton et al. We find no significant detection of mass clumps, except for a luminous satellite in the system SDSS J0956+5110. We use these non-detections, in combination with a previous detection in the system SDSS J0946+1006, to derive constraints on the substructure mass function in massive early-type host galaxies with an average redshift 〈z lens〉  ∼ 0.2 and an average velocity dispersion 〈σeff〉  ∼ 270 km s−1. We perform a Bayesian inference on the substructure mass function, within a median region of about 32 kpc2 around the Einstein radius (〈R ein〉  ∼ 4.2 kpc). We infer a mean projected substructure mass fraction f = $0.0076_{-0.0052}^{+0.0208}$ at the 68 per cent confidence level and a substructure mass function slope α < 2.93 at the 95 per cent confidence level for a uniform prior probability density on α. For a Gaussian prior based on cold dark matter (CDM) simulations, we infer f = $0.0064^{+0.0080}_{-0.0042}$ and a slope of α =  $1.90^{+0.098}_{-0.098}$ at the 68 per cent confidence level. Since only one substructure was detected in the full sample, we have little information on the mass function slope, which is therefore poorly constrained (i.e. the Bayes factor shows no positive preference for any of the two models). The inferred fraction is consistent with the expectations from CDM simulations and with inference from flux ratio anomalies at the 68 per cent confidence level.
Sprache
Englisch
Identifikatoren
ISSN: 0035-8711
eISSN: 1365-2966
DOI: 10.1093/mnras/stu943
Titel-ID: cdi_proquest_miscellaneous_1560120741

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