SMEFTglob¶
Common functions used to calculate likelihood values and pulls of the fits.
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SMEFT19.SMEFTglob.fastmeas(obs)[source]¶ Checks if the observable is part of a <<fast-measurement>> in smelli.
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SMEFT19.SMEFTglob.likelihood_fits(x, wfun)[source]¶ Calculates the log-likelihood of a NP hypothesis for several classes of observables.
- Arguments
x: Point in parameter space to be evaluated.
wfun: Function that takes a point in parameter space and returns a dictionary of Wilson coefficents.
- Returns
A dictionary of log-likelihoods, for each of the classes of observables defined by smelli.
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SMEFT19.SMEFTglob.likelihood_global(x, wfun)[source]¶ Calculates the global log-likelihood of a NP hypothesis.
- Arguments
x: Point in parameter space to be evaluated.
wfun: Function that takes a point in parameter space and returns a dictionary of Wilson coefficents.
- Returns
The global log-likelihood.
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SMEFT19.SMEFTglob.loadobslist(new=False)[source]¶ Loads from a .yaml file a list of all observables available, ordered by their pull in the SM. If the file does not exist, this functions creates it.
- Returns
A list with all observables available.
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SMEFT19.SMEFTglob.newlist()[source]¶ Creates a .yaml file with a list of all observables available, ordered by their pull in the SM.
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SMEFT19.SMEFTglob.prediction(x, obs, wfun)[source]¶ Interfaces flavio to compute the NP prediction of a given observable.
- Arguments
x: Point in parameter space to be evaluated.
obs: observable, as defined by flavio, whose prediction will be computed. If the observable does not depend on any parameter, obs is a string. If the observable depends on numerical parameters (such as q2), obs is a list containing a string and one or more floats.
wfun: Function that takes a point in parameter space and returns a dictionary of Wilson coefficents.
- Returns
The prediction of the observable.
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SMEFT19.SMEFTglob.pull_obs(x, obs, wfun)[source]¶ Calculates the pull, in sigmas, of the prediction of a given observable in NP with respect to its experimental value.
- Arguments
x: Point in parameter space to be evaluated.
obs: observable, as defined by flavio, whose prediction will be computed. If the observable does not depend on any parameter, obs is a string. If the observable depends on numerical parameters (such as q2), obs is a list containing a string and one or more floats.
wfun: Function that takes a point in parameter space and returns a dictionary of Wilson coefficents.
- Returns
The pull of the observable.
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SMEFT19.SMEFTglob.restart_smelli(include_likelihoods=None, add_measurements=None, remove_measurements=None, custom_likelihoods=None)[source]¶ Re-starts smelli’s Global Likelihood with new parameters.
- Arguments
include_likelihoods: If not None, only the specified likelihoods will be included.
add_measurements: Adds more experimental measurements not included by smelli.
remove_measurements: Removes more experimental measurements not included by smelli.
custom_likelihoods: Adds new likelihoods.