Skip to main content

Who Cares About Particle Physics? - Pauline Gagnon ****

This could be a very short book, consisting only of the words 'I do' - but a more realistic title would be 'What has the Large Hadron Collider (LHC) ever done for us?' Pauline Gagnon takes us on a tour of the standard model of particle physics, introduces the clumsily-titled Brout-Englert-Higgs field (most of us give in and accept it is more practically called the Higgs field, while recognising the other contributors), investigates the role of particle accelerators and takes us through the success with the Higgs boson, and the less successful search for dark matter and supersymmetrical particles.

The later part of the book is a bit of hotchpotch of the author's pet topics (or at least I'm guessing this, as they don't really flow from the first six or seven chapters) on the likes of a rather meandering collection of what research does for us from cancer cures to nuclear fusion (eventually), an examination of the management model used at CERN, a discussion of the (lack of) diversity in physics and bizarrely the role of Mileva Maric in Einstein's work, before reverting to topic of the book with a final chapter looking at possible future discoveries at CERN.

What makes this book worth celebrating for me is getting a really good feel for what the scientists working at the LHC actually do, how they interpret those messy-looking blasts of data, how so many scientists can work together (perhaps ascribing rather more efficiency to the process than is strictly accurate) and why this kind of research is valuable. This kept me interested and wanting to discover more.

I am giving this book four stars for its interesting insider content and particularly its insight into the way that the LHC is used that I have never seen elsewhere. But it does have some issues. Gagnon's attempt to speak down to the general reader sometimes feels a little condescending, not least in the decision to use stuffed toys to represent fundamental particles - it feels like she's trying too hard. There's also a classic 'expert's issue' in explaining why the particle discovered was thought to be a Higgs boson. She explains how the standard model was flawed and patched up with the idea of the Higgs etc. field. This implied there should be Higgs bosons, but they didn't know the mass. So how do they know that the new particle is a Higgs boson, rather than just something else that was missing from the standard model? There is no convincing answer given for this.

The writing style was also a little too much like being lectured - a barrage of facts, lacking much in the way of narrative structure. And an oddly obvious error had crept in: a table showing the behaviour of dark matter claimed it was not influenced by gravity, which is rather odd since this is the only way it can be detected. Oh, and the author falls into the error of trying to justify the expenditure on CERN because it gave us the web - a particularly lame argument.

However, these negatives are more than overcome by the content in the sense that we get far more than the typical basic tour and explanation of the LHC - this is really insightful material on how the LHC experiments are used and how they might be extended in the search for dark matter and the (increasingly unlikely) supersymmetric particles. Because of this, it's a book that's well worth reading if you have interest in this most fundamental of physical explorations.


Hardback 

Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

Rakhat-Bi Abdyssagin Five Way Interview

Rakhat-Bi Abdyssagin (born in 1999) is a distinguished composer, concert pianist, music theorist and researcher. Three of his piano CDs have been released in Germany. He started his undergraduate degree at the age of 13 in Kazakhstan, and having completed three musical doctorates in prominent Italian music institutions at the age of 20, he has mastered advanced composition techniques. In 2024 he completed a PhD in music at the University of St Andrews / Royal Conservatoire of Scotland (researching timbre-texture co-ordinate in avant- garde music), and was awarded The Silver Medal of The Worshipful Company of Musicians, London. He has held visiting affiliations at the Universities of Oxford, Cambridge and UCL, and has been lecturing and giving talks internationally since the age of 13. His latest book is Quantum Mechanics and Avant Garde Music . What links quantum physics and avant-garde music? The entire book is devoted to this question. To put it briefly, there are many different link...

Should we question science?

I was surprised recently by something Simon Singh put on X about Sabine Hossenfelder. I have huge admiration for Simon, but I also have a lot of respect for Sabine. She has written two excellent books and has been helpful to me with a number of physics queries - she also had a really interesting blog, and has now become particularly successful with her science videos. This is where I'm afraid she lost me as audience, as I find video a very unsatisfactory medium to take in information - but I know it has mass appeal. This meant I was concerned by Simon's tweet (or whatever we are supposed to call posts on X) saying 'The Problem With Sabine Hossenfelder: if you are a fan of SH... then this is worth watching.' He was referencing a video from 'Professor Dave Explains' - I'm not familiar with Professor Dave (aka Dave Farina, who apparently isn't a professor, which is perhaps a bit unfortunate for someone calling out fakes), but his videos are popular and he...

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on...