English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Lens modeling is the key to successful and meaningful automated stronggalaxy-scale gravitational lens detection. We have implemented a lens-modeling"robot" that treats every bright red galaxy (BRG) in a large imaging survey asa potential gravitational lens system. Using a simple model optimized for"typical" galaxy-scale lenses, we generate four assessments of model qualitythat are used in an automated classification. The robot infers the lensclassification parameter H that a human would have assigned; the inference isperformed using a probability distribution generated from a human-classifiedtraining set, including realistic simulated lenses and known false positivesdrawn from the HST/EGS survey. We compute the expected purity, completeness andrejection rate, and find that these can be optimized for a particularapplication by changing the prior probability distribution for H, equivalent todefining the robot's "character." Adopting a realistic prior based on the knownabundance of lenses, we find that a lens sample may be generated that is ~100%pure, but only ~20% complete. This shortfall is due primarily to theover-simplicity of the lens model. With a more optimistic robot, ~90%completeness can be achieved while rejecting ~90% of the candidate objects. Theremaining candidates must be classified by human inspectors. We are able toclassify lens candidates by eye at a rate of a few seconds per system,suggesting that a future 1000 square degree imaging survey containing 10^7BRGs, and some 10^4 lenses, could be successfully, and reproducibly, searchedin a modest amount of time. [Abridged]

Automated detection of galaxy-scale gravitational lenses in high resolution imaging data