4 papers
Uncertainty-Aware Deep Learning for the Ly Forest: CNN-Based Absorber Detection and Characterization
Paryag Sharma, Vikram Khaire, Ting-Yun Cheng +2
The Ly forest is a powerful probe of the intergalactic medium and small-scale matter distribution, but deriving absorber properties traditionally requires computationally expen…
Deciphering galaxy images using machine vision -- Combining variational autoencoder and principal component analysis for feature extraction
Samuel Howie, Ting-Yun Cheng, Carlton M. Baugh
Here, we present a machine vision approach, combining a VAE framework with PCA, to decipher galaxy images. Using mock gri-band images from the EAGLE simulation, the VAE finds that…
Efficient Search for Extremely Metal Poor Galaxies in the Local Universe using Convolutional Neural Networks
Ting-Yun Cheng, Ryan J. Cooke
Nearby extremely metal-poor galaxies (XMPs) allow us to study primitive galaxy formation and evolution in greater detail than is possible at high redshift. This work, for the first…
OzDES Reverberation Mapping Program: Stacking analysis with H, Mg II and C IV
Umang Malik, Rob Sharp, A. Penton +47
Reverberation mapping is the leading technique used to measure direct black hole masses outside of the local Universe. Additionally, reverberation measurements calibrate secondary…