If I can model an event with a Poisson distribution such as:
"A large asteroid hits the earth once every 100,000,000 years"
how do I calculate the probability of a single successful event with a different interval?
For example:
"what is the probability of a large asteroid hitting the earth in the next 100 years?"
Standing to this sentence, you must define the hitting rate $\lambda$ (number of hit in a year) as:
$$\lambda = \frac{1}{100000000} = 10^{-8}.$$
If the process is Poisson, then:
$$P(n, t) = \frac{e^{-\lambda t}(\lambda t)^n}{n!}$$
is the probability to have exactly $n$ hits in $t$ years.
This probability is:
$$p = \sum_{n=1}^{+\infty} P(n,100),$$
since you want the earth to be hit, no matter how many times (it can be $1$, $2, \ldots, +\infty$ times).
For the properties of the probability density distribution, you have that:
$$ \sum_{n=0}^{+\infty} P(n,100) = 1,$$
and hence
$$P(0,t) + \sum_{n=1}^{+\infty} P(n,t) = 1\Rightarrow P(0,100) + p = 1 \Rightarrow p = 1- P(0,100),$$
which is much easier than evaluating $\sum_{n=1}^{+\infty} P(n,100).$
To conclude:
$$P(0,100) = \frac{e^{-10^{-8} \cdot 100}(10^{-8} \cdot 100)^0}{0!} = \frac{e^{-10^{-6}} \cdot 1}{ 1} = e^{-10^{-6}},$$
and
$$p = 1- e^{-10^{-6}}.$$