Search Results for author:
Found 3 papers, 1 papers with code
Spectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)
This indicates that the neural network method is feasible and powerful for spec-z and photo-z estimations in future cosmological surveys.
Photometric Redshift Estimation
Cosmology and Nongalactic Astrophysics
Deep Learning for Strong Lensing Search: Tests of the Convolutional Neural Networks and New Candidates from KiDS DR3
Using the latter training set, about 67\% of the aforementioned 48 candidates are also found, and there are 11 more new strong lensing candidates identified.
Cosmology and Nongalactic Astrophysics
The Weak Lensing Peak Statistics in the Mocks by the inverse-Gaussianization Method
We apply the inverse-Gaussianization method proposed in \citealt{arXiv:1607. 05007} to fast produce weak lensing convergence maps and investigate the peak statistics, including the peak height counts and peak steepness counts, in these mocks.
Cosmology and Nongalactic Astrophysics
