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Prediction of Ram Pressure Stripping (RPS) parameters with CNNs

simulated disc galaxy

Description

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.

Usage

We provide a sample of images which can be used for testing our trained model.

  1. pip install -r requirements.txt
  2. Install pre-trained model.
  3. python src/predict.py

Paper available at: http://arxiv.org/abs/2008.03460

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Trained CNN model for prediction of IGM density from 2D density and kinematic maps of simulated disc galaxies undergoing ram pressure stripping

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