Add new case studies highlighting contributions to recent scientific discoveries

[InessaPawson]

It would be great to expand the NumPy case studies with examples showing NumPy's role in some of the major scientific advances of the 2020s.

Potential case studies:

• JWST – detection of carbon dioxide in an exoplanet atmosphere (WASP-39 b
  NumPy was used in the extraction, reduction, and analysis of JWST observations leading to the detection.
  References: https://www.nature.com/articles/s41586-022-05269-w

• NANOGrav – evidence for a nanohertz gravitational-wave background
  NumPy is part of the scientific Python stack used to analyze pulsar timing data and search for the gravitational-wave signal.
  References: https://authors.library.caltech.edu/records/mrtaw-spj56)

• FlyWire – complete adult fruit-fly brain connectome
  NumPy was used in analyses of a connectome containing more than 139,000 neurons and tens of millions of synapses.
  References: https://www.nature.com/articles/s41586-024-07968-y

• AlphaFold – protein structure prediction
  AlphaFold uses NumPy within its data processing and inference stack. This could illustrate how NumPy supports modern computational biology and AI-driven scientific discovery.
  References: https://github.com/google-deepmind/alphafold/tree/main

• Event Horizon Telescope – Sagittarius A*
  NumPy is used throughout EHT imaging software involved in reconstructing the first image of the black hole at the center of the Milky Way. This could serve as a follow-up to the existing M87 black-hole case study.
  References: https://github.com/eventhorizontelescope/2022-D02-02

Suggested next steps for each candidate:

• Identify and connect with members of the research team who could provide quotes about NumPy’s role in the research and/or discovery.
• Write a case study for numpy.org of ~7,000 characters.