Poisson Statistics: Examples and Applications

This lecture covers Poisson statistics, explaining how to calculate the probability of a certain number of events occurring in a fixed interval when the mean rate is known. Examples include earthquakes and lightning strikes, with a focus on the normal distribution approximation. The lecture also discusses dark current and noise in photosensitive devices, emphasizing the importance of temperature control. Additionally, readout noise in CCD detectors is explained, detailing the three-step process and factors affecting noise levels.