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Survey2Survey: A deep learning generative model approach for cross-survey image mapping
We trained two types of neural networks to map images from the Sloan Digital Sky Survey (SDSS) to corresponding images from the Dark Energy Survey (DES).
Probabilistic cosmic web classification using fast-generated training data
These measurements were used to train a random forest algorithm with, which was used to assign class probabilities to each particle in a $\Lambda$CDM, dark matter-only N-body simulation with $256^3$ particles, as well as on another toy model data set.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
