How to use the smelli.classes.GlobalLikelihoodPoint function in smelli

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github smelli / smelli / smelli / classes.py View on Github external
def parameter_point(self, wc_dict, scale=None):
        """Choose a point in parameter space by providing a dictionary of
        Wilson coefficient values (with keys corresponding to WCxf Wilson
        coefficient names) and the input scale."""
        if not scale:
            raise ValueError("You need to provide a scale")
        w = self.get_wilson(wc_dict, scale)
        return GlobalLikelihoodPoint(self, w, fix_ckm=self.fix_ckm)
github smelli / smelli / smelli / classes.py View on Github external
def parameter_point(self, filename):
        """Choose a point in parameter space by providing the path to a WCxf
        file."""
        with open(filename, 'r') as f:
            wc = wcxf.WC.load(f)
        w = Wilson.from_wc(wc)
        return GlobalLikelihoodPoint(self, w, fix_ckm=self.fix_ckm)
github smelli / smelli / smelli / classes.py View on Github external
def parameter_point(self, w):
        """Choose a point in parameter space by providing an instance
        of `wilson.Wilson`."""
        return GlobalLikelihoodPoint(self, w, fix_ckm=self.fix_ckm)

smelli

A Python package providing a global likelihood function in the space of dimension-6 Wilson coefficients of the Standard Model Effective Field Theory (SMEFT)

MIT
Latest version published 3 months ago

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58 / 100
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