Search Results for author: S. Schuldt

Found 2 papers, 0 papers with code

Photometric Redshift Estimation with a Convolutional Neural Network: NetZ

no code implementations24 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

HOLISMOKES -- II. Identifying galaxy-scale strong gravitational lenses in Pan-STARRS using convolutional neural networks

no code implementations27 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

Cannot find the paper you are looking for? You can Submit a new open access paper.