Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Astronomy and Astrophysics,Space and Planetary Science
Reference62 articles.
1. International Conference on Artificial Neural Networks;Binder,2016
2. Lensing substructure quantification in RXJ1131-1231: a 2 keV lower bound on dark matter thermal relic mass
3. H0LiCOW – IX. Cosmographic analysis of the doubly imaged quasar SDSS 1206+4332 and a new measurement of the Hubble constant
4. Extensive light profile fitting of galaxy-scale strong lenses
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