Automated galaxy–galaxy strong lens modelling: no lens left behind

HIGHLIGHTS

• who: Etherington Amy et al. from the of Physics, Centre for Extragalactic Astronomy, Durham University, South Rd, Durham, LE, UK have published the Article: Automated galaxyu2013galaxy strong lens modelling: No lens left behind, in the Journal: (JOURNAL)
• what: The authors develop an automatic Bayesian method which the authors use to fit a sample of 59 lenses imaged by the Hubble Space Telescope. A major component of this is a discretization effect inherent to pixel-based source reconstructions - for which the authors provide a solution. With the full sample modelled, the authors investigate the accuracy to . . .
  

   

  

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