Demo notebooks for the Fornax project
HEASARC, IRSA, and MAST jointly propose an FY22 project to demonstrate how NASA Astrophysics mission data can be accessed from the cloud or on premises through a science platform environment. We will center this demonstration on a limited set of data that will be held in the NASA cloud, the AURA cloud, and on premises. We will build a suite of containerized software, Jupyter notebooks, and Python libraries that will allow users to carry out forced photometry on multiple NASA data sets, motivated by important science use cases for mining survey data for extragalactic science and cosmology. This suite of data access and analysis tools will be designed to be used in any of a number of science platforms that are available or in development across the world. We will showcase its use in at least two notebook environments, one of which will be cloud-hosted. We describe a simple management structure for coordinating this work across all three archives and NASA. Finally, we will use these experiences in further consultation with NASA to create an FY23 plan for building an operational science platform within the NASA Cloud.
In this repository we use Jupytext and MyST Markdown Notebooks. You will need jupytext installed
for your browser to recognise the markdown files as notebooks (see more about the motivation and
technicalities e.g. here: https://numpy.org/numpy-tutorials/content/pairing.html).
If you already have an ipynb file, convert it to Markdown using the following command, and commit
only the markdown file to the repo:
jupytext --from notebook --to myst yournotebook.ipynb