Description
Contains calculated halo and galaxy variables and derived mock observable quantities; predictions by the machine learning model and modifications by stochastic amendment, in hdf5 format.
The data is divided into six zip files:
train.zip: TNG simulation data used to train the neural networks
test.zip: TNG simulation data used to assess the predictions of the trained models
pred.zip: Outputs of the trained models when applied to the test data.
stoch.zip: Predicted data following stochastic modification.
dark.zip: Outputs of the trained models when applied to the TNG-Dark simulation data.
uchuu.zip: Outputs of the trained models when applied to the Uchuu simulation data.
The data is divided into six zip files:
train.zip: TNG simulation data used to train the neural networks
test.zip: TNG simulation data used to assess the predictions of the trained models
pred.zip: Outputs of the trained models when applied to the test data.
stoch.zip: Predicted data following stochastic modification.
dark.zip: Outputs of the trained models when applied to the TNG-Dark simulation data.
uchuu.zip: Outputs of the trained models when applied to the Uchuu simulation data.
Date made available | 28 Aug 2023 |
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Publisher | University of St Andrews |
Student theses
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Learning and interpreting the galaxy-halo connection in cosmic simulations
Chittenden, H. G. (Author), Fernandes Tojeiro Reynolds, R. M. (Supervisor), 29 Nov 2023Student thesis: Doctoral Thesis (PhD)