DIfferentiable PSF model (DIP)

DIP is a flexible and versatile framework for focal-plane wavefront sensing based on PyTorch.

Requirements

DIP intrinsically depends on LIFT. please download the LIFT repository first. While installing, please ensure the following folder structure:

LIFT
├── tests
│   ├── example.ipynb
│   └── ...
├── modules
│   ├── Telescope
⁞   ├── LIFT
    └── ...
DIP
├── tests
│   ├── example.ipynb
│   └── ...
├── DIP.py
⁞

Required modules

pytorch
graphviz (optional)

Acknowledgments

This code was developed during PhD program of Arseniy Kuznetsov, funded by ESO, LAM, and ONERA.