LAsteNERD
Joined 1 year ago
Joined 1 year ago
Traditional neutron imaging works like a long-exposure photo: useful, but blurry. The new system (based on a camera called LumaCam) timestamps every photon from neutron events and uses techniques like event centroiding and pulse-shape discrimination to clean up noise and sharpen images dramatically.
Why neutrons? Because they reveal things x-rays can’t — like light elements, isotopic composition, and crystal structure. This is especially powerful for materials science and nuclear diagnostics, where understanding what something is made of (not just where it is) really matters.
It’s part of a larger effort to make electronics rad-hard — so that microchips don’t randomly glitch or die in flight (or in orbit). Especially relevant as chips shrink and transistor counts hit hundreds of billions (i.e. more chances for failure).
Some highlights:
Neutrons from space can flip bits or cause “latch-ups” (think: permanent short circuits).
These upsets can lead to weird bugs, BSODs, or worse — especially at altitude.
The ICE House runs ~24/7 and still can’t keep up with demand from avionics and chip companies.
They’re now planning a third beamline to expand testing capacity, and even working on proton-based testing for space use cases.
If you’re into hardware reliability, aerospace, or just cosmic-ray horror stories for computers, this is worth the read.
This piece traces that history from early supercomputers and the Fermi-Pasta-Ulam-Tsingou problem to modern AI systems used to explore uncertainty in scientific research.