code2#

class pyhf.interpolators.code2(histogramssets, subscribe=True)[source]#

Bases: object

The quadratic interpolation and linear extrapolation strategy.

$${\sigma }_{sb}(\overrightarrow{\alpha })={\sigma }_{sb}^0(\overrightarrow{\alpha })+\underset{\text{deltas to calculate}}{\underbrace{\sum _{p\in \text{Syst}}{I}_{\text{quad.|lin.}}({\alpha }_p;{\sigma }_{sb}^0,{\sigma }_{psb}^{+},{\sigma }_{psb}^{-})}}$$

with

$$\begin{array}{r}{I}_{\text{quad.|lin.}}(\alpha ;I^0,I^{+},I^{-})=\{\begin{array}{l}(b+2a)(\alpha -1)\alpha \ge 1\\ a{\alpha }^2+b\alpha |\alpha |<1\\ (b-2a)(\alpha +1)\alpha <-1\end{array}\end{array}$$

and

$$a=\frac{1}{2}(I^{+}+I^{-})-I^0\mathrm{and}b=\frac{1}{2}(I^{+}-I^{-})$$

__init__(histogramssets, subscribe=True)[source]#

Quadratic Interpolation.

Methods

_precompute()[source]#

_precompute_alphasets(alphasets_shape)[source]#