PhotonTransferCurves.jl

AbstractNoiseSource

Interface

To define your own source, simply provide the function for how signal is manipulated given an AbstractRNG

• (::MySource)(rng, input)
• noise(::MySource, input)
• limits(::MySource) (optional)

See ShotNoise for an example of an implementation of the interface

(::AbstractNoiseSource)([rng], input)

Process a signal following the transfer function defined by the noise source. A random number generator can be passed if the process is stochastic.

ReadNoise(;noise)

Gaussian read noise, with the given RMS noise.

ShotNoise()

A simple Poisson process for modifying incoming signal according to counting statistics.

Examples

Simulate a Poisson process with average value of 1 three times.

julia> proc = ShotNoise()

julia> [proc(1) for _ in 1:3]
3-element Vector{Int64}:
 0
 3
 2

julia> noise(proc, 100)
10.0

limimts(::AbstractNoiseSource)

Returns the limits for signal input. By Default, is (0, Inf)

noise(::AbstractNoiseSource, input)

Return the RMS noise given the input signal

testdata()

Loads a tuple of the signal and total noise from the Appendix A table A.1 from Janesick (2007).^[1] This data is generated by a CMOS imager with V/e- nonlinearity. Data units are in DN.

Examples

julia> data = testdata();

julia> size(data.S)
(43,)