Noise sources in optical detectors

The maximum information you can extract from an image is limited by its signal-to-noise ratio (SNR). With signal defined as the amount of light incident upon the detector per unit time, noise can be seen as the “disturbance” on the signal level that hinders an accurate measurement.

Examining the sources of noise in your optical detector, both fundamental and technical, and understanding which contributions have the greatest impact on the uncertainty of your measurement, will be central to optimizing the quality of your results and conclusions.

Detection of light

• Detection of light can be decomposed in three simplified steps:

1. conversion of light to free electrical charge-carriers
2. conversion of current to voltage
3. measurement of voltage .

• Optical detectors are subjected to
  • Optical shot noise (N_s): inherent noise in counting a finite number of photons per unit time
  • Dark current noise (N_d): thermally induced “firing” of the detector
  • Johnson noise (N_J): thermally induced current fluctuation in the load resistor
  • Technical noise and 1/f noise due to various imperfections (for instance spike at 120 Hz from electrical outlets or from fluorescent room light).

• Uncorrelated sources of noise N

$ \lim_{T \to {+ \infty}} {{1 \over T} \int_{-T/2}^{T/2} (n(t+\tau) - \bar{n})(n(t) - \bar{n})^*\, d\tau} = \left \langle \Delta {n(t+\tau)} \Delta {n^* (t)} \right \rangle = 0 $

(with $ \tau \ne 0 $ and * denoting the complex conjugate)

will add in quadrature:

$ N^2 \propto N_s^2 + N_d^2 + N_J^2 $

Poisson shot noise

As photons are emitted independently of each other, the events of photon arrival at the detector are statistically independent, or “uncorrelated”. Although the mean number of photons $ \bar n $ arriving per unit time is constant on average, at each measurement time interval t, the number of detected photons does vary.

• The statistical fluctuation of uncorrelated random events obey Poisson statistics:

the probability of observing n photons is:

$ P (n| \bar n)= e^{-n} {{\bar n}^n \over {n!}} $

Poisson statistics of uncorrelated events
Distribution of uncorrelated events of mean $ \bar n $ varying from 1 to 20:
mean: $ \bar n = {1 \over M} \sum_1^M {n_i} $	variance: $ \sigma_n^2 = {1 \over M} \sum_1^M {{(n_i - \bar n)}^2} $		standard deviation: $ \sigma_n = \sqrt {\bar n} $

• The shot noise in photon count (on $ \bar n $) results in shot noise in electrical current (on I ):

$ \left \langle I_{signal} \right \rangle = \eta q \bar n / \Delta t $

where $ \bar n $ is the number of photons incident, $ \Delta t $ is the acquisition time, q is the charge of an electron (q = 1.6 x 10$ ^{-19} $ C), and η is the quantum efficiency of the detector.

hence $ \left \langle I_{noise} \right \rangle = \eta q \sqrt {\bar n} / \Delta t $

or $ \left \langle I_{noise}^2 \right \rangle = {\left ( \eta q / \Delta t \right )}^2 \bar n $

and $ \left \langle I_{noise}^2 \right \rangle = \left ( \eta q / \Delta t \right ) \left \langle I_{signal} \right \rangle $

• Now introducing four important definitions:

Signal power: $ S = \left \langle I_{signal}^2 \right \rangle R $,

Noise power: $ N = \left \langle I_{noise}^2 \right \rangle R $,

Signal-to-noise ration SNR: $ S = Signal Power / Noise Power = S / N $,

Noise equivalent power NEP: signal power at which SNR = 1,

we obtain an expression for the shot noise N_s in Fourier space $ N_s = \left \langle I_{noise}^2 \right \rangle R = 2 R \eta q B \left \langle I_{signal} \right \rangle $

with 2B the bandwidth (in hertz) over which the noise is considered.

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References