4 ms·
Oxygen nucleus with twice as many neutrons shown to be stable
- dbz 14y ago24O has a half life of 65ms, so "24O isn't especially stable. If you look at that table, 23O has a half life of 82 ms, 22O is 2.25 s, and the isotopes gradually get more stable as you approach the stable 16-17-18 isotopes. If it were more stable than 23O, I would agree that it would be surprising, but that's not the case. In fact, if you look at what they did and read the abstract for the actual paper, the claimed novelty here isn't creating 24O (as others have done so before) or about how stable it is, but rather that they came up with a new technique to characterize it. The article's title is misleading." Said chaos386 on reddit http://www.reddit.com/r/science/comments/14hz9v/oxygen_nucleus_with_twice_as_many_neutrons_as/c7dak0v http://www.reddit.com/r/science/comments/14hz9v/oxygen_nucle...
- ars 14y agoI thought that a site with the name "phys.org" would have at least some scientific basis. But this article is terrible! This HN story should be deleted.
- ars 14y agoThe title is 100% wrong. (Oxygen nucleus with twice as many neutrons shown to be stable) O24 has a half life of 65ms. It is not stable. There is a reason HN frowns on editing the original title. Sometimes it's helpful, sometimes, like here, you get it totally wrong. The article title is: "Oxygen nucleus with twice as many neutrons as normal is shown to be surprisingly stable" And even that title is very confusing. As best as I can tell, the actual research is that they measured the shape of O24 and found it to be round. I don't see anything at all the shows it to be "surprisingly stable".
- Goopplesoft 14y agoHow long will it be before we can quickly test these things in a computer simulation?
- aroberge 14y agoI don't believe we have enough knowledge about the strong force to be able to use it to provide meaningful answers to this type of problems (yet). When you don't know the parameters to use in a model, computer speed does not matter. And when you don't know parameters in a model ... no one can predict how long it will be until we know them.