Additive white Gaussian noise is a basic noise model used in information theory to mimic the effect of many random processes that occur in nature. The modifiers denote specific characteristics:
Zero crossings of a noisy cosine
AWGN contributions in the phasor domain
Shot noise
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Shot noise or Poisson noise is a type of noise which can be modeled by a Poisson process.
Additive white Gaussian noise
…comes from many natural noise sources, such as the thermal vibrations of atoms in conductors (referred to as thermal noise or Johnson–Nyquist noise), shot noise, black-body radiation from the earth and other warm objects, and from celestial sources such as the Sun. The central limit theorem of probability theory…
Photon noise simulation. Number of photons per pixel increases from left to right and from upper row to bottom row.