smefit package
- class smefit.RUNNER(path)[source]
Bases:
object
Class containing all the possible smefit functions
- individual(input_card)[source]
Run a sequence of indifidual NS fits for all the oparators set to True in the runcard
- Parameters:
input_card (str) – fit card name
- mcfit(fit_card, scan_card=None, scan_only=False, nrep=100, first_rep=0)[source]
Run a fit with McFit given the input cards and the numeber of replicas. As first step it performs a :math:chi^2 scan then perform the MC fit of each replica.
- Parameters:
fit_card (str) – fit card name or scan card name for scan only
scan_card (str) – scan card name, optional for fitting
scan_only (bool) – perform only the chi2 scan
nrep (int,) – number or replicas, optional for fitting
first_rep (int, optional) – starting replica number, to be used in case you are running MCfit in parellel on a cluster
Subpackages
- smefit.analyze package
- Submodules
- smefit.analyze.analyze module
ANALYZE
ANALYZE.combine_plots()
ANALYZE.load_results()
ANALYZE.move_to_meta()
ANALYZE.plot_chi2()
ANALYZE.plot_coefficients()
ANALYZE.plot_correlations()
ANALYZE.plot_data_vs_theory()
ANALYZE.plot_ellipse()
ANALYZE.read_dataset()
ANALYZE.run_pdflatex()
ANALYZE.write_Fisher_table()
ANALYZE.write_PCA_table()
ANALYZE.write_chi2_table()
ANALYZE.write_summary()
- smefit.analyze.tools module
- smefit.core package
- smefit.optimize package