no code implementations • 24 Nov 2020 • S. Schuldt, S. H. Suyu, R. Cañameras, S. Taubenberger, T. Meinhard, L. Leal-Taixé, B. C. Hsieh
The network over the whole redshift range between 0 and 4 performs well overall and especially in the high-$z$ range better than other methods on the same data.
Astrophysics of Galaxies
no code implementations • 27 Apr 2020 • R. Canameras, S. Schuldt, S. H. Suyu, S. Taubenberger, T. Meinhardt, L. Leal-Taixe, C. Lemon, K. Rojas, E. Savary
Secondly, we train a convolutional neural network (CNN) on Pan-STARRS gri image cutouts to classify this sample and obtain sets of 105760 and 12382 lens candidates with scores pCNN>0. 5 and >0. 9, respectively.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics