Rubin real-time discovery engine (800k alerts night one)

42:51new data and what it can do is historically look at what did that position in the night sky look like a month ago, a year ago, 10 years ago because all of the archival astronomical data of maybe the Hubble pointed at it at some point or maybe the James Web pointed at it 6 months ago. It can compare images between what it saw that particular night and what other telescopes have seen that particular night and if there's anything different send out an email alert. And so on its first night >> that this real-time discovery machine was operating it sent out 800,000 alerts. >> It found 800,000 candidates for new

43:33stuff that scientists could look at. Th this is so this is incredible and we we talked about this when we did the story because the technology behind uh it is unreal. Yeah. In terms of the amount the volume and the it's like going from CRT 480p TVs >> to 4K. >> Yeah. And and and so that's in terms of resolution. The main thing is it's going from photographs to movies which we talked about. So we're seeing like motion. We're seeing we're seeing for example asteroids >> cuz the asteroids will move and so that's going to be a motion transient that the Vera Rubin can catch. We're seeing supernova which are going to be

44:15oh there was no light bulb there and then now there's a tiny faint light bulb on that galaxy. That means a star exploded and we've got about you know 2 or 3 weeks to catch that star exploding. So all these transient events, these fleeting celestial events, that's what the Ver Rubin was out for, right? That's why um it's called the Legacy Survey of Space and Time, >> the LSST. That's the program. It's for 10 years. It's going to go along. These alerts are going to be insane. Um >> it's expected to generate up to 7 million alerts per night. >> Yeah. And we're already on track because with the first night it was already

44:55800,000. >> I mean this is incredible because there's not that many astronomers out there, >> right? >> Okay. In the world and those astronomers don't have a lot of time, right? >> So this is really the advent I think of decentralized astrophysics research. Like now we can have citizen scientists for example. If you're like in a high school or like you know some advanced program where you want to do scientific research but you don't have access to data this is an incredible resource now to do small little projects if I don't know you want to get ahead in your college application this is something you could do you could go on the Vera Rubin website and find data and look at some of these alerts and be like hey

45:36which alert do I want to like dig a little bit deeper into things like that. Um, you can also, I mean, this is going to be huge for machine learning and AI because handling 7 million alerts a night. No human can do that, but creating a machine learning pipeline that can, you know, sparse through all those alerts, figure out which is the one that actually might require human attention from somebody with a PhD in astrophysics and so on. It's going to be huge. I I I this is this I think when we did our end of the year episode for season one, I brought up this uh the episode four is one of my favorites because I still just think >> technically from technical execution, largest camera lens in the world. um the

46:19amount the data pipeline build like being able to actually process and make available immediately that volume >> within 2 minutes I think >> is is a significant technological challenge in and of itself >> uh and then the open sourcing of it >> right out of the box meaning there's no gatekeeping there's no this and that it's it's it's a really I think it's a beautiful testament I think to the spirit >> of what science yeah >> in the modern era can look like. There's understandable reasons why not every system is like that. >> Yeah. And I mean this is this is something that I think the US taxpayer should be very proud of. >> This is you almost entirely a US effort

47:00by the US National Science Foundation and the US Department of Energy >> DOE baby. >> Like this is this is really cool that our taxpayer dollars are going into something like this. >> Very cool. First story. Um we're going to move into our story number two. Our story number two. This one is a material science and AI story as scientists have used AI to help them find new types of magnets uh which can be used in an innumerable number of industries. So what what exactly is going on with these new magnetic materials? >> Yeah. So finding rare earth free