FITS file reconstructor visualizer

A very simple app for me to learn more about how UV coverage works for a given FITS file.

Allows you to load a fits file, select UV points and see how the UV coverage affects the reconstruction of the original image.

How to run

1. Clone the repository

git clone https://github.com/AndreasH96/fits-uv-visualizer.git
cd ./fits-uv-visualizer

2. Install requirements

pip install -r requirements.txt

3. Run the application

python app.py

Running tests

pip install pytest
python -m pytest tests/ -v

Example: Single point selected

Example: Multiple points selected

In the example with multiple points selected, we can see that the actual image (point source, nothing fancy) can be somewhat seen from the reconstruction.

Example: Placements of UV points (M87)

1000 randomly placed points:

1000 randomly placed points, with a maximum UV distance of 0.05 (to focus on capturing general aspects):

Todo:

• Generate N random UV points with min and max UV distance

• Phase shifting ?

• Load file of UV points

• Evaluate UV ranges, should allow other than the fixed -0.5 - 0.5?

• BIG: Scientific mode, covers the below points

• Use the clicking to define the initial uv points at time 0, then simulate how they move during a observation simulation.

• Load orbital parameters and source parameters

Refactoring

• Separate rendering and computations