New gravitational lenses, mergers, and ring galaxies

22:48And from those hundreds of millions of from those 100 million image cutouts, they identified 1,300 objects that have an odd appearance, right? And more than 800 of these objects have never been identified in scientific literature before. Mhm. Most of these anomalies are just like galaxies going through mergers or interactions, and so they're going to look weird. >> Yes. But every once in a while, there was some pretty cool stuff. So, if we go to our next photo, you'll actually see some of the very cool stuff. Yes. On the upper right-hand side, you're you're seeing galaxy mergers. Mhm. But the lower two on the right, you can see one galaxy that's kind of curving around another. Yes. >> That's a weird gravitational lens. Yeah.

23:30>> Okay? Where because of Einstein's relativity, the gravity from the foreground galaxy is bending the light from a galaxy that's behind it. And so, these are very, very cool gravitational lenses of a background galaxy that's sort of twisting its light around the foreground, which is in the front. >> Yes. >> We've also got really weird wing ring-shaped galaxies, like the one on the upper right. And these are all like completely new. I think that's so cool. >> And you're right, with the ring-shaped galaxy on the upper left. >> Yeah, the upper left. Yes, you're right. >> Yeah. Yep, yep. And I I just think that's so cool that like a machine learning algorithm can go

24:11through these within 2 and 1/2 days and figure out all these new galaxies that now we can maybe get our other telescopes to look at, right? Mhm. Take a look, get some spectra, figure out if maybe there's a supernova that's happening in one of these like lensed galaxies that we can spot at multiple different times because maybe the light is taking longer on one end than the other end. If it's multiply lensed, you can do all sorts of very, very cool science by looking at these new objects, right? It's again one of these examples of a new story about AI helping out scientists >> Yes. that again makes me very hopeful in

24:52all of the drab that we're getting about how AI is is to end the world. I mean, I think we are very much in danger of that as well. Don't get me wrong, but there's also hope. And I think if it's in the right hands, tools like artificial intelligence and the anomaly detection that comes with it can be very fruitful for the pursuit of fundamental science. That is always the question is who controls the button. But the anomaly match, I'm sure I mean part of the Vera C. Rubin already has this built into its existing architecture. >> And that's going to generate like unprecedented volumes of data. So, an anomaly detector is going to be very crucial for analyzing that data just to begin with.

25:32And look at the fact that we're still discovering new stuff today. Yeah. For so for this archive that's, you know, over, you know, had has been gathering for over 30 years. >> Yeah. And the Hubble only looked at a small patch of the sky, right? In in all of its 35 years of history, it didn't like tile the entire night sky like the Vera Rubin will. So, it's very, very exciting time in astronomy. And and that means there's a chance we'll see the Yeah. One day. One day. We haven't looked This is the analogy I always bring up is we're looking out our front window at a house and we're saying there's no one in the street, but we haven't looked out the backyard, we haven't hopped over the fence, we haven't driven around the

26:12neighborhood, but we're just looking out the front window like, "Oh, we're all alone here." And it might just be it might be the