Basic shapes are fundamendal PDFs, with often well-known functional form.
They are usually fully analytically implemented and often a thin
wrapper around Distribution
.
Any missing shape can be easily wrapped using WrapDistribution
.
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Gaussian or Normal distribution with a mean (mu) and a standard deviation (sigma). |
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Exponential function exp(lambda * x). |
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Crystal Ball shaped PDF. |
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Double-sided Crystal Ball shaped PDF. |
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Generalized asymmetric double-sided Crystal Ball shaped PDF. |
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GaussExpTail shaped PDF. |
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GeneralizedGaussedExpTail shaped PDF which is Generalized assymetric double-sided GaussExpTail shaped PDF. |
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Uniform distribution which is constant between |
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Non-relativistic Breit-Wigner (Cauchy) PDF representing the energy distribution of a decaying particle. |
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Voigt profile. |
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Gaussian distribution that is 0 outside of |
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Bifurcated Gaussian distribution different standard deviations for the left and right side of the mean. |
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Poisson distribution, parametrized with an event rate parameter (lamb). |
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Log-normal distribution, the exponential of a normal distribution. |
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Q-Gaussian distribution with parameter |
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ChiSquared distribution for ndof degrees of freedom. |
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StudentT distribution for ndof degrees of freedom. |
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Gamma distribution. |
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Johnson's SU distribution. |
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Generalized Gaussian distribution with a mean (mu), a standard deviation (sigma), and a shape parameter (beta). |