Smashing Oxygen

Particles from space have a long history of teaching us new physics, most recently recognised by the award of the Nobel Prize to Francis Halzen for the observation of high-energy neutrinos from space.

Measuring and modelling the collisions of high-energy particles with the atmosphere, or indeed polar ice, is tricky. In an attempt to improve our understanding specifically of high energy proton collisions with the atmosphere, the Large Hadron Collider loaded up with Oxygen nuclei a while ago, and smashed them up with protons (hydrogen nuclei, if you prefer). We measured the resulting mess in the ATLAS detector. Indeed we got more information, but, as this quote from Jesse indicates:

We thought that our data would help identify the best models for cosmic ray collisions. But surprisingly, we found that none of the models were very good.

… the modellers have work to do. They do now, thanks to ATLAS and the LHC, have some significantly better data to work with.

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Fourheads

So, is the above (a) a publicity shot from the stage adaptation of The Usual Suspects (b) four (one current, three previous) Heads of Physics and Astronomy at UCL.

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Yesterday in Parliament

Clive Lewis MP hosted a drop in session about the funding crisis in the science and technology research council (STFC).

We had a busy two hours talking to MPs and Peers. I think and hope we had some impact.

There is so much going on in the world, and Westminster, these days that it sometimes feel like whistling in the wind trying to make the case for particle physics and astronomy, and for research in general. But research, and the universities where most of it is done, are one of the areas where the UK is genuinely excellent, to the huge benefit of all of us (not just those of us who get paid for doing it…).

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Critical thinking and AI

Thanks to Hetan Shah and Margot Finn on Bluesky, I came across this article by Gillian Tett in the Financial Times. It’s a discussion about the rhetoric and reality of AI adoption in business with, as you’d expect, a focus on the financial sector and its regulators. The bit that caught my attention was the description of a New York financier evaluating, for the first time, summer interns who had grown up using AI. While they appeared impresive initially,

… when senior financiers later probed their ideas they found them alarmingly shallow.

Consequently this person’s company made fewer return offers and is now focusing less on graduates in science, technology, engineering and mathematics — and more humanities students instead.

Now, I am speaking as a physics professor and a physicist of course. In my experience, there is a lot of critical thinking involved in science, engineering and maths, and I get a bit testy – grumpy even – if I think my humanities colleagues are trying to claim it as their thing.

However, there is also a prevalent “get stuff done” imperative. I learned my ways of working in a world where if you didn’t think critically at the start, you could waste a lot of time. I mean, years. A career even. I suppose the FT equivalent would be buying up sub-prime mortgages.

As I watch the students and postdocs around me exploit the productivity gains of rapidly-improving AI tools to solve problems, write code, test hypotheses, develop and validate new techniques – “get stuff done” – I have two concerns.

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