Amortized LFI of galaxy cluster masses with TensorFlow Probability
Learn to use TensorFlow Probability to get posterior mass estimates of cluster masses
using dynamical mass measurements.
Contacts: @EiffL
Participants:
Detailed description
This tutorial illustrates how to build an amortized inference model for estimating
galaxy cluster masses using TensorFlow Probability (TFP). It covers the definition of a conditional density estimator using Keras, understanding the impact of the proposal distribution used to build the training dataset, and learning how to get proper Bayesian posteriors.
Amortized LFI of galaxy cluster masses with TensorFlow Probability
Learn to use TensorFlow Probability to get posterior mass estimates of cluster masses using dynamical mass measurements.
Contacts: @EiffL Participants:
Detailed description
This tutorial illustrates how to build an amortized inference model for estimating galaxy cluster masses using TensorFlow Probability (TFP). It covers the definition of a conditional density estimator using Keras, understanding the impact of the proposal distribution used to build the training dataset, and learning how to get proper Bayesian posteriors.
Ressources: colab notebook