09-26, 09:45–10:15 (Europe/Paris), Louis Armand 2 - Ouest
The astronomical community has built a good amount of software to visualize and analyze the images obtained with the James Webb Space Telescope (JWST). In this talk, I will present the open-source Python package Jdaviz. I will show you how to visualize publicly available JWST images and build the pretty color images that we have all seen in the media. Half the talk will be an introduction to JWST and Jdaviz and half will be a hands on session on a cloud platform (you will only need to create an account) or on your own machine (the package is available on PyPI).
Do you like the pretty images in those press releases from the James Webb Space Telescope (JWST)? Would you like to learn how to make one yourself using open source software? Yes? Then please come to my talk with your laptop and I will show you how to do it!
JWST has been observing the Universe for about 2 years now, sending us spectacular images of planets, nebulae, stars, and galaxies. These images are taken in filters at different wavelengths and they need to be combined to produce the stunning color images we see in the press releases. There is various software available to do this. In this talk, I will present an open-source Python package called Jdaviz (J-D-A-viz) which stands for JWST Data Analysis and Visualization. Jdaviz works in the Jupyter environment and the users can interact with it using the interface or using Python commands from a Jupyter Notebook.
No need to be a scientist or astronomer to follow this presentation. If you are familiar with Jupyter Lab, the concept of taking images through filters, and the concept of scaling the range and contrast of an image, you will enjoy the ride. The presentation will be light weighted and half of it will be a hands-on session.
If you like the idea, I will be happy to use 30 minutes of PyData to:
- give an introduction to JWST and astronomical images; 5 minutes
- give an introduction to the Python open-source package Jdaviz; 5 minutes
- be your guide to make a color-composite image using JWST data on a cloud platform (you will need to create an account) or on your own machine (the package is available on PyPI); 15 minutes
- answer any questions you might have; 5 minutes
I am an astronomical data scientist at the Space Telescope Science Institute in Baltimore. I work with a team on software engineers to develop a suite of open source tools to visualize and analyze data from the James Webb Space Telescope. I am especially interested in bringing these tools to the wider community and non-scientists who wonder about the Universe.
Software engineer on the team that develops Jdaviz.