Where we land: interesting, speculative; next steps & Rubin data

Transcript
This chapter, from the episode video's captions · 1,122 words
1:57:13think um I think it's certainly interesting. I think I think the Earth's shadow thing is the one that like is really like sticking with me, right? That calculation is is quite nice. And the way that they do the the way the way that they do the controls where they simulate a random subset in that photographic plate and say, "Okay, how many are going to be in Earth shadow versus not like Yeah, that's see seems to be the way that I used to do like you know these bootstrap >> Yep. >> things to try to figure out what the significance of my result was." So yeah, I I thought it was I thought it was pretty cool. I think next steps would be to just look at the photographic plate, make sure that it's not a defect. take take a look at the plate not a defect and then from there
1:57:53>> if proven to be the case >> now we can have the next stage of the conversation. >> Yeah. Which is like okay and like you know with modern surveys perhaps there's a way to get an idea of how often this is happening in Vera Rubin. Vera Rubin's um completely public all of the data is public like immediately after it's >> and it's up and running right now. >> Yeah. Yeah. So we have already three months of data from the Vera Rubin. If you've not already listened, take a look back to our previous episode where we covered the Ver Rubin Observatory, why it matters. It's another sky survey, but it is >> just light years in terms of the structure and substance of how it works and what we talked about the data, the
1:58:35immediate data availability, no embargo, da da da da. Again, some people be like, well, you know, the government's going to like try to like wipe away their classified projects that are >> No, but this is just I mean, and it's also it's been I think let's say 3 months. >> Yeah. >> 3 months meaning 100 days, meaning there's 30 photos of the entire night sky already. Right. >> Right. Palomar took years for one photo of the entire night sky. This already has 30. >> It's an incredible The largest camera. >> Yeah. The largest camera in the world. >> In the world. um creating the biggest amount of data and one of the most incredible data processing and
1:59:15distribution platforms. Yeah. >> Uh for it's it's just an incredible. So the the point here being >> there are things that can be drawn from this study in terms of now looking at us having this larger much more robust data set and applying some of those thoughts and learnings to it. in addition to continuing to validate and replicate using the old the the the plates from the Palomar sky survey as well. Like there's multiple avenues of exploration here um around this idea of these transient light artifacts that are occurring. I I really was excited to just get your
1:59:56perspective on this. >> Yeah, I thought I thought it was I thought it was a cool set of papers. Yeah. and and >> definitely the PSP one I I liked >> and just also talking about it from first principles. Um again, >> yeah, I think it's important to understand because because this is historical data, we're not used to analyzing that, >> right? And the analog nature of it. It's not digital, right? You're not sticking a CCD in the back of a telescope. This is at the end of the day a chemical reaction that's giving us something. So, it's important to understand the whole chain of custody, >> right? from photon to pixel. >> Right. Right. And how how do we even get to pixel from photon? >> Um an incredible set of stories this
2:00:38week. Uh we did our lucky number three. Uh we started with our generative AI for cancer detection out of University of Toronto. Again, sorry again about the loss, but you're going to save the lives. going to save the lives of millions of people. >> Yeah, >> with with that that great great story. Followed up by our super story on the retinal wireless retinal chip. We're making blind people see again. >> Yeah. >> Notless restoring. >> Yeah. Restoring. >> Not stopping, not slowing down. Restoring. >> Yeah. and and we ended with our uh interesting possibility of data related to what have now been renamed UAP,
2:01:19formerly known as UFOs and these transient uh presputnik transients in the Palymer sky survey. I'm very interested to see people apply some kind of similar methodology to the Ver Rubin data sets. They're there. They're publicly available. You're interested in working on that, please shoot us a DM. uh we can make the connections. Uh episode 15, we're continuing to cook. >> Uh unbelievable engagement on just I I still can't believe people care about science as much as they do. >> Yeah. >> Um >> it's I love to see it. >> It's you you do love to see it. Science is important. We are not covering I know people are begging us to cover three
2:02:01Atlas. >> Yeah. >> There's no data. The government shut down and there's no data for us to cover. Uh, however, Europa Europa Clipper is in the tail. >> Yeah. >> Right now, >> as we speak. >> Right now. >> Yeah. >> But we can't do anything. >> Yeah. >> Because there's nothing >> the ESA and um the the guys around Mars have taken photographs of gray atlas as it went across. It's it's reached it's gone through the closest point of approach from the sun and now it's on the other side of the sun. So, we can actually see it again from the Earth. It's on its way to Jupiter. But we have no data that we can talk about. >> So until we get the data, we won't cover it. Um I know that Avi Loe has talked
2:02:44about the uh non-gravitational acceleration which can have a prosaic explanation, but we can't know whether it is that prosaic commentary tail >> or not thingy or not until we get the data. >> Yeah. >> So we we hear you guys. You want us to cover 3II Atlas. uh open up the government, give us the data and we will talk about it. >> Yeah. >> Uh I am your host Lassinari joined as always by my co-host and our resident PhD Krishna Chowdery. This is from first principles. See y'all next week.
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AI cancer genomes, bionic vision, and Palomar transient skepticism.