pulsarization

Pulsar data visualization based on ATNF Pulsar Catalogue. Made for the Interactive Data Visualization course, Spring 2020, University of Helsinki.

Try it!

Pulsarization is available for playing around with at pulsarization.azurewebsites.net!

The design rationale

This app was designed with scientific visualization best practices in mind. For more elaboration on the design choices, check out the related report

Running locally

1. Make sure you have Python 3, node and yarn installed
2. Install the requirements
   • pip3 install -r backend/requirements.txt
3. Run the backend in debug mode
   • python3 backend/app.py
4. Check that everything's working
   • curl http://127.0.0.1:5000/hello
5. Install the frontend requirements
   • cd frontend
   • yarn install
6. Run the frontend
   • yarn start

Backend API

The publicly hosted backend API is available at pulsarization-api.azurewebsites.net.

• Get data for one pulsar with given J name: curl https://pulsarization-api.azurewebsites.net/pulsars/J0101-6422
• Get J name and binary component type for all pulsars with a binary component set: curl -X POST -H 'content-type: application/json' -d '{"fields": ["psrj", "bincomp"], "filters": [{"field": "bincomp", "op": "!=", "value": "null"}]}' https://pulsarization-api.azurewebsites.net/pulsars
• Get maximum values for f0 (pulse frequency) and dist_dm (distance): curl 'https://pulsarization-api.azurewebsites.net/extremes/max?fields=f0&fields=dist_dm'