Deep convolutional neural networks as strong gravitational lens detectors
C. Schaefer; Mario Geiger; T. Kuntzer; Jean‐Paul Kneib · 2017 · Astronomy and Astrophysics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Context. Future large-scale surveys with high-resolution imaging will provide us with approximately 10 5 new strong galaxy-scale lenses. These strong-lensing systems will be contained in large data amounts, however, which are beyond the…
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Metadata source: OpenAlex · DOI 10.1051/0004-6361/201731201