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[skip-ci][tutorials] refactor roofit tutorial #20258

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Nov 6, 2025
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[skip-ci][tutorials] refactor roofit tutorial #20258

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7 changes: 3 additions & 4 deletions tutorials/roofit/roofit/rf615_simulation_based_inference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,8 +33,8 @@
## \date July 2024
## \author Robin Syring

import ROOT
import numpy as np
import ROOT
from sklearn.neural_network import MLPClassifier

# The samples used for training the classifier in this tutorial / rescale for more accuracy
Expand All @@ -45,8 +45,7 @@


# Morphing as a baseline
def morphing(setting):

def morphing(setting, workspace):
# Define binning for morphing
grid = ROOT.RooMomentMorphFuncND.Grid(ROOT.RooBinning(4, 0.0, 4.0))
x_var.setBins(50)
Expand Down Expand Up @@ -199,7 +198,7 @@ def learned_likelihood_ratio(x, mu):
ROOT.SetOwnership(nllr_learned, True)

# Compute the morphed nll
morphing(ROOT.RooMomentMorphFuncND.Linear)
morphing(ROOT.RooMomentMorphFuncND.Linear, workspace)
nll_morph = workspace["morph"].createNLL(obs_data)
ROOT.SetOwnership(nll_morph, True)

Expand Down