Dark Galaxies, Fuzzy Dark Matter, and an Alzheimer’s Breakthrough
EP 28
·26:19

Re-analysis with DOLPHOT reveals a 4th cluster (data-analysis matters)

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This chapter, from the episode video's captions · 639 words

26:20there was this survey by Hubble Space Telescope. When they looked there, they reanalyzeed that data with something called Dulfot, which is different from DaoT. It's like a a way to analyze data from Hubble Space Telescope, taking into account like the engineering of the Hubble Space Telescope, what it's capable of, things like that. And they revealed in this Perseus cluster, they revealed a fourth globular cluster >> that they hadn't seen before. If you look over there, there's three blue dots. And then there's a red dot. >> That red dot is a new globular cluster that they hadn't found before. And from that they can be like now well wait if there's a new globular cluster there's four four being in the same small region

27:02is really unlikely unless there's something in the middle there that is causing them to clump. >> I want to make a brief note here which is this important kind of note about how the importance of data analysis. Yeah. because you have a raw data profile and this is the same raw data profile. >> The same raw data profile of like what had happened and it's just literally you there's no interpretation on that raw data yet. >> However, depending on the parameters and how you filter >> that raw data, there's a whole spectrum of different conclusions you can make depending on what you're looking for. And so the idea here is that they change the parameters. >> Yeah.

27:42>> And by ch which is not changing the fundamental data. No, the raw data is the same. >> It's like if you have a camera with a 400 mm lens and you're trying to look at something that's really close to you, it's just going to look like a blur because a 400 mm lens is trying to look at things far away. But it thinks, but if you change to a a 30 whatever 24 millimeter lens, all of a sudden >> you can see the thing because you change the way in which you're trying to analyze the information. >> Well, I want to be cautious there because what you just talked about is actually different raw data. >> Ah, okay. >> Right. If you're switching out lenses, the raw data is different. >> Okay, that's fair. >> Right. Here, I do want to make a distinction because this is this is important. >> Here, we're doing the same we got the

28:23same photo. >> Yes, that's a good point. >> But we're now putting it through >> like like you know on on your computer on Photoshop. We got like Photoshop the newest version versus like the old version. And now we can do like, oh, contrast this way and like and like the you know the you know the color thingy and you're like oh I want to I want to do this color more and this color less. That's a very that's a really that's the data analysis. If you switch out a lens that's raw data you're you're switching out of engineering. >> No that that's that's a very fair point. The the the when the Photoshop analogy is correct because >> yeah this is they did like dull fat Photoshop instead of Dowot Photoshop. >> It's a different Instagram filter in >> Yes. And they're like, "Oh, there's four

29:04instead of three." Yeah. And Exactly. >> Okay. Yes. >> Exactly. But they did Instagram on the Hubble. >> On the Hubble. Yes. Okay. Yes. Yes. Yes. Yes. >> Yeah. And then and then they found this fourth one, right? And that was critical. And when they stacked, so then they they got their ESA colleagues. >> Yep. >> Um at the European Space Agency. European Space Agency has something called Uklid.

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