In that case point p 1 doesn't correspond to this point, it actually corresponds to the point of radius 2 and angle 1, which is about here.

基本上也就是说这是第一个点1,这是第二个点，把它们的值加到一起,然后我就得到了目标点，好，这听起来挺不错的。

麻省理工公开课 - 计算机科学及编程导论课程节选

And we call that most probable radius r sub m p, or most probable radius.

我们叫它ｒ小标ｍｐ,或者最可能半径。

麻省理工公开课 - 化学原理课程节选

We'll start with talking about the shape, just like we did with the s orbitals, and then move on to those radial probability distributions and compare the radial probability at different radius for p orbital versus an s orbital.

想我们对待ｓ轨道那样，我们先讨论ｐ轨道的形状，然后是径向概率密度分布,并且把ｓ轨道和ｐ轨道在,不同半径处的径向概率做一个比较。

麻省理工公开课 - 化学原理课程节选

And that's what we label as r sub m p, or your most probable radius.

或者最可能半径，这是你找到。

麻省理工公开课 - 化学原理课程节选

So again, what we see is the same pattern where the most probable radius, if we talk about it in terms of the d, that's going to be smaller then for the p, and the 3 p most probable radius is going to be closer to the nucleus than it is for the 3 s most probable radius that we're looking at.

同样的，我们可以看到相同的行为,ｄ轨道的，最可能半径，比ｐ轨道小，3p轨道的,最可能半径,比3s轨道离原子核更近。

麻省理工公开课 - 化学原理课程节选