A graph neural network predicts simulated cluster-galaxy halo masses from stellar mass and projected galaxy spatial and velocity structure with RMSE 0.242 dex on TNG300, beating random forests.
Gonzalez, Maxim Markevitch, Scott W
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.GA 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks
A graph neural network predicts simulated cluster-galaxy halo masses from stellar mass and projected galaxy spatial and velocity structure with RMSE 0.242 dex on TNG300, beating random forests.