In this tutorial we'll be showing you how to visualise HEALPix results using Jupyter Notebook in our OnDemand appliance on the Apocrita HPC cluster. We'll start with installing the required Python packages before demonstrating how to run the Healpy tutorial.
Information about running other components of HEALPix not covered in this tutorial can be found on our docs site.
Hello! I am Sherman and I have just joined the RSE team at Queen Mary. Glad to meet you all!
My background is in computational statistics and machine learning. I have completed projects in rainfall prediction, defect detection for 3D printing and Markov chains using Monte Carlo. These projects involved collaboration with various scientists, such as meteorologists, engineers and statisticians.
An understanding of file permissions is important to the success of computational jobs, and the security of your files.
The default settings are suitable for some, but not every use-case: without sufficient awareness, your files may be visible to people who should not be able to access them, and vice-versa.
Since the last module update in December 2019, we have: