Daniel Whiteson

That's what we know how to look for.

So a couple of years ago, my team was like, well, could we look for other things?

Could we look for things that are moving in some weird, unexpected way?

And we've been training machine learning algorithms to do just that, to look for particles that don't move as a spiral, that will move in some new, weird way.

And it's funny because it's hard for computers to find that.

But if I showed you one, if I found a collision that led to something which moved in a weird way, your eyes would be like, oh, that's something.

What's that?

Right.

That's weird.

Our eyes are very, very good at seeing patterns.

But I can't print out collisions every 24 nanoseconds and put them in front of my students and be like, find me the weird ones.

Right.

We have to use computers because we need them because they're much more effective at this high speed, high volume thing.

data analysis.

And so we're developing these algorithms to look for new weird non spiral paths.

And we're hoping when we run them on the data that they'll, they'll spit out something like, Hey, Daniel, look at this one.

And then we'll get to see something exciting.

So I'm working hard to try to sort of push the boundaries of what we can discover.

But you never know what you're missing, right?

Is there a mathematical model that shows that the particle could move differently?