stats

Build test statistic based on arbitrary sum of \(\chi^2\) and logPoisson functions.

Positional arguments

• name – define name of the statistic

Options

• -c, --chi2 – defines analysis with \(\chi^2\) contribution

• --chi2-unbiased – defines analysis with bias corrected \(\chi^2\) contribution (\(+\log |V|\))

• -p, --logpoisson – defines analysis with logPoisson contribution

• -P, --logpoisson-ratio – defines analysis with log(Poisson ratio) contribution

• --logpoisson-legacy – defines analysis with logPoisson contribution (deprecated implementation)

• --labels – define list of node labels

Examples

Initialize an analysis ‘analysis’ with a dataset ‘peak’ and covariance matrix based on constrained parameters:

./gna \
    -- gaussianpeak --name peak_MC --nbins 50 \
    -- gaussianpeak --name peak_f  --nbins 50 \
    -- ns --name peak_MC --print \
        --set E0             values=2    fixed \
        --set Width          values=0.5  fixed \
        --set Mu             values=2000 fixed \
        --set BackgroundRate values=1000 fixed \
    -- ns --name peak_f --print \
        --set E0             values=2.5  relsigma=0.2 \
        --set Width          values=0.3  relsigma=0.2 \
        --set Mu             values=1500 relsigma=0.25 \
        --set BackgroundRate values=1100 relsigma=0.25 \
    -- dataset-v1 peak --theory-data peak_f.spectrum peak_MC.spectrum -v \
    -- pargroup covpars peak_f -m constrained \
    -- analysis-v1  analysis --datasets peak -p covpars -v \
    -- stats chi2 --chi2 analysis