Open EiffL opened 4 years ago
This hack aims at building a TensorFlow Probability implementation of the Zheng et al. (2007) model. The goal is to have a differentiable model to populate simulations with galaxies.
Contacts: @EiffL @changhoonhahn @modichirag Participants:
The deliverable is a notebook demonstrating the practicality of the method.
What's need is some TensorFlow knowledge, some experience with HODs, and halotools, and a lot of enthusiasm :-)
Prototype for the project is being hosted here: https://github.com/DifferentiableUniverseInitiative/DHOD
Chat about the project is here:
Implementing a differentiable Halo Occupation Distribution
This hack aims at building a TensorFlow Probability implementation of the Zheng et al. (2007) model. The goal is to have a differentiable model to populate simulations with galaxies.
Contacts: @EiffL @changhoonhahn @modichirag Participants:
Goals and deliverable
The deliverable is a notebook demonstrating the practicality of the method.
Resources needed
What's need is some TensorFlow knowledge, some experience with HODs, and halotools, and a lot of enthusiasm :-)
Detailed description
Prototype for the project is being hosted here: https://github.com/DifferentiableUniverseInitiative/DHOD
Chat about the project is here:![Gitter](https://badges.gitter.im/DifferentiableUniverseInitiative/DHOD.svg)