Skip to main content

Higgs – Jim Baggott *****

Whenever someone famous dies or there’s a major royal event you will see a book arrive in the shops with undue haste. It’s hard to imagine it wasn’t thrown together with minimum effort – and with equally minimal quality. So when I saw that Jim Baggott had produced a book on the Higgs boson all of five weeks after the likely detection was announced following several years work by the Large Hadron Collider at CERN, it seemed likely that this too was a botched rush job. But the reality is very different.
In one sense it has to be a rushed job – the announcement was made on 4 July 2012 and the book was out by mid-August, featuring said announcement. So that bit of the book could hardly have had much time for careful editing, bearing in mind publishers usually take at least a couple of months from final versions of the text to having a physical book. (Much of the rest of the book was written well in advance.) But the remarkable trick that Baggott and OUP have pulled off is that the rush doesn’t show. This is an excellent book throughout.
The first, but probably not most important way it’s great is that it provides by far the best explanation of what the Higgs field is and how it is thought to work (and what the Higgs boson has to do with anything) I’ve seen – and that by a long margin. However, for me it’s not so much that, as the way it provides a superb introduction to the development of the standard model of particle physics, our current best guess of what everything’s made of. Again, this is the best I’ve ever read and yet it’s here just as a setting for the Higgs business. It is really well done, and the book deserves a wide readership for that alone, not to mention the way it puts the Higgs into context.
Is it perfect? Well, no. Like every other book I’ve read on the subject it falls down on making the linkage between the mathematics of symmetry and the particle physics comprehensible. That is immensely difficult to do, but ought to be possible. However, as long as you take some of the symmetry stuff on trust, the rest works superbly well.
Congratulations, then, to author and publisher alike. Both in its timing and its content this is a tour de force. Recommended.

Hardback 

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

Comments

Popular posts from this blog

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book

Vector - Robyn Arianrhod ****

This is a remarkable book for the right audience (more on that in a moment), but one that's hard to classify. It's part history of science/maths, part popular maths and even has a smidgen of textbook about it, as it has more full-on mathematical content that a typical title for the general public usually has. What Robyn Arianrhod does in painstaking detail is to record the development of the concept of vectors, vector calculus and their big cousin tensors. These are mathematical tools that would become crucial for physics, not to mention more recently, for example, in the more exotic aspects of computing. Let's get the audience thing out of the way. Early on in the book we get a sentence beginning ‘You likely first learned integral calculus by…’ The assumption is very much that the reader already knows the basics of maths at least to A-level (level to start an undergraduate degree in a 'hard' science or maths) and has no problem with practical use of calculus. Altho

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