Trained CNN model for prediction of IGM density from 2D density and kinematic maps of simulated disc galaxies undergoing ram pressure stripping
License: Other
We have trained CNN models to predict RPS parameters (IGM density rho_igm and relative velocity v_rel) from 2D density and kinematic maps of disc galaxies undergoing RPS.
We provide a sample of images which can be used for testing our trained model.
pip install -r requirements.txtpython src/predict.pyPaper available at: http://arxiv.org/abs/2008.03460
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