BASE is aiming for the most precise measurements of the magnetic moments of protons and antiprotons - to compare matter with antimatter
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of particle physics describes all the known fundamental particles and the forces between them. A part of this Model - called CPT symmetry - implies that the fundamental properties of particles should be equal and partly opposite to those of their corresponding antiparticles. Any measured difference between the masses, charges, lifetimes or magnetic moments of matter and antimatter could contribute to understanding outfits for air jordans 11s
in the universe.
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(BASE) at CERN will compare the magnetic moments of protons and antiprotons to look for differences between matter and antimatter.
Using an experimental set-up with two Penning traps - devices that hold particles in place with electromagnetic fields - the team aims to measure the antiproton magnetic moment to a hitherto unreachable part-per-billion precision.
A direct measurement of the magnetic moment requires the measurements of two frequencies: the Larmor frequency, which characterizes the precession of the spin of a particle, and the cyclotron frequency, which describes a charged particle's oscillation in a magnetic field.
BASE’s double Penning trap separates the measurements of the Larmor as well as the cyclotron frequency from the spin-state analysis. Two traps are used for the measurements: the analysis trap, which will identify the spin state of the particle, and the precision trap, which will flip the spin of the particle while measuring the cyclotron frequency.
Two further traps are used. The monitor trap will check for any variance in the magnetic field caused by external sources, allowing the BASE team to make instant adjustments to the core traps while measurements are under way. The reservoir trap will store antiprotons for months on end, allowing the BASE collaboration to continue operating even without beam.
In June 2014 the BASE collaboration reported the first direct high-precision measurement of the proton magnetic moment with a fractional precision of 3.3 part per billion. The team plans to be taking new measurements of the antiproton magnetic moment at CERN's
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by beam time in 2014.
Continuing with the example above, we can simplify the
HOC to a regular
component with a
prop that is a function. Then, inside
, we can use that prop to know what to render!
The main concept to understand here is that the
component essentially exposes its state to the
component by calling its
can render whatever it wants with that state. Pretty cool. 😎
I should clarify at this point that “children as a function” is
the exact same concept
, just using the
prop instead of
. When I say “render prop” I’m not talking specifically about a prop
, but rather the concept of having a prop that you use to render something. 😅
This technique avoids all of the problems we had with mixins and HOCs:
And there’s absolutely no ceremony required to use a render prop because you’re not wrapping or decorating some other component. It’s just a function! Actually, if you’re using TypeScript or , you’ll probably find it much easier to write a type definition for your component with a render prop than its equivalent HOC. Again, a topic for a separate post!no ceremony
Additionally, the composition model here is dynamic ! Everything happens inside of render, so we get to take full advantage of the React lifecycle and the natural flow of props state.the composition model here is dynamic
Using this pattern, you can replace any HOC with a regular component with a render prop. And we can prove it, too! 😅
One of the most convincing pieces of evidence that render props are a more powerful pattern than HOCs is the fact that any HOC can be implemented using a render prop, but the inverse is not true. The following is an implementation of our
HOC using a regular ol’
Observant readers may have already noticed that the
HOC in the React Router codebase is actually implemented with… wait for it…
a render prop
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