LFITaskForce / BerkeleyMeeting

Bay Area Likelihood-Free Inference meet-up at the Berkeley Institute for Data Science
https://lfitaskforce.github.io/BerkeleyMeeting/
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[HACK] Implementing a differentiable Halo Occupation Distribution #7

Open EiffL opened 4 years ago

EiffL commented 4 years ago

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