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@annawoodard annawoodard/
Created Feb 17, 2017

What would you like to do?
EFT model
import os
import re
import numpy as np
from numpy.polynomial import Polynomial
import ROOT
from HiggsAnalysis.CombinedLimit.PhysicsModel import PhysicsModel
from HiggsAnalysis.CombinedLimit.SMHiggsBuilder import SMHiggsBuilder
class EffectiveOperatorModel(PhysicsModel):
def setPhysicsOptions(self, options):
self.pois = []
self.processes = []
for option, value in [x.split('=') for x in options]:
if option == 'poi':
if option == 'process': # processes which will be scaled
if option == 'data': = value
if option == 'plots':
self.plots = value
def setup(self):
info = np.load([()]
for process in self.processes:
coefficients = info[process]['coefficients']
cross_section = info[process]['cross section']
sm_coefficients = np.array([tuple([0.0] * len(coefficients.dtype))], dtype=coefficients.dtype)
sm_cross_section = np.mean(cross_section[coefficients == sm_coefficients])
functions = []
for poi in self.pois:
x = self.modelBuilder.out.var(poi)
name = 'x_sec_{0}_{1}'.format(process, poi)
if not self.modelBuilder.out.function(name):
functions += [name]
xi = coefficients[poi][coefficients[poi] != 0]
yi = cross_section[coefficients[poi] != 0] / sm_cross_section
fit =, yi, 2)
template = "expr::{name}('{a0} + ({a1} * {poi}) + ({a2} * {poi} * {poi})', {poi})"
quadratic = self.modelBuilder.factory_(template.format(name=name, a0=fit.coef[0], a1=fit.coef[1], a2=fit.coef[2], poi=poi))
self.modelBuilder.factory_('sum::x_sec_{0}({1})'.format(process, ', '.join(functions)))
def doParametersOfInterest(self):
for poi in self.pois:
self.modelBuilder.doVar('{0}[0, -1, 1]'.format(poi))
self.modelBuilder.doSet('POI', ','.join(self.pois))
def getYieldScale(self, bin, process):
if process not in self.processes:
return 1
name = 'r_{0}'.format(process)
return name
eff_op = EffectiveOperatorModel()
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