361 citations · 1.2k across the 40 of their papers we have counts for
5 papers · 1 filter
Physical Benchmarking for AI-Generated Cosmic Web
Xiaofeng Dong, Nesar Ramachandra, Salman Habib +3
The potential of deep learning based image-to-image translations has recently drawn a lot of attention; one intriguing possibility is that of generating cosmological predictions wi…
Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z
Nesar Ramachandra, Jonás Chaves-Montero, Alex Alarcon +3
Photometric redshift estimation algorithms are often based on representative data from observational campaigns. Data-driven methods of this type are subject to a number of potentia…
Constraining Gravity with a -cut Cosmic Shear Analysis of the Hyper Suprime-Cam First-Year Data
Leah Vazsonyi, Peter L. Taylor, Georgios Valogiannis +3
Using Subaru Hyper Suprime-Cam (HSC) year 1 data, we perform the first -cut cosmic shear analysis constraining both CDM and Hu-Sawicki modified gravity. To generate th…
Anomaly detection in Hyper Suprime-Cam galaxy images with generative adversarial networks
Kate Storey-Fisher, Marc Huertas-Company, Nesar Ramachandra +5
The problem of anomaly detection in astronomical surveys is becoming increasingly important as data sets grow in size. We present the results of an unsupervised anomaly detection m…
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Kai Fukami, Romit Maulik, Nesar Ramachandra +2
Achieving accurate and robust global situational awareness of a complex time-evolving field from a limited number of sensors has been a longstanding challenge. This reconstruction…