Basic Examples (2) 

NPseudoVoigt always returns numerical results, even for exact inputs:

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NPseudoVoigt compared to the analytic solution:

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Scope (6) 

NPseudoVoigt automatically threads over lists:

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NPseudoVoigt is approximately normed to 1 for b and σ greater than 0:

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NPseudoVoigt's norm has four additional terms that cancel out for non-extreme values of b and σ:

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NPseudoVoigt's deviation to the analytic solution in the maximum is usually less than ±1% for every parameter combination b and σ:

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NPseudoVoigt's relative deviation increases if b and σ approach one another:

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NPseudoVoigt is also stable against σ being 0:

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Applications (1) 

NPseudoVoigt can be compiled to obtain faster execution times:

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Possible Issues (2) 

Negative b parameters can produce imaginary values:

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Negative σ parameters do not yield symmetric values:

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Neat Examples (2) 

NPseudoVoigt can be used to approximate an atomic absorption spectrum efficiently:

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NPseudoVoigt can be used to show that σ is negligible or even 0, whereas the VoigtDistribution could throw errors:

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