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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,167 @@ | ||
| # coding: utf-8 | ||
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| """ | ||
| Default inference model. | ||
| """ | ||
|
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| from columnflow.inference import inference_model, ParameterType | ||
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| @inference_model | ||
| def default(self): | ||
|
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| # | ||
| # categories | ||
| # | ||
|
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| self.add_category( | ||
| "incl", | ||
| config_category="incl__os__iso", | ||
| config_variable="res_dnn_hh", | ||
| config_data_datasets=["data_*"], | ||
| mc_stats=8.0, | ||
| ) | ||
|
|
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| # | ||
| # processes | ||
| # | ||
|
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| for kl in ["0", "1", "2p45", "5"]: | ||
| self.add_process( | ||
| f"ggHH_kl_{kl}_kt_1_13p6TeV_hbbhtt", | ||
| is_signal=True, | ||
| config_process=f"hh_ggf_hbb_htt_kl{kl}_kt1", | ||
| config_mc_datasets=[f"hh_ggf_hbb_htt_kl{kl}_kt1_powheg"], | ||
| ) | ||
| self.add_process( | ||
| "TT", | ||
| config_process="tt", | ||
| config_mc_datasets=["^tt_(sl|dl|fh)_powheg$"], | ||
| ) | ||
| self.add_process( | ||
| "DY", | ||
| config_process="dy", | ||
| config_mc_datasets=["dy_*_amcatnlo"], | ||
| ) | ||
|
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||
| # | ||
| # parameters | ||
| # | ||
|
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| # general groups | ||
| self.add_parameter_group("experiment") | ||
| self.add_parameter_group("theory") | ||
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| # groups that contain parameters that solely affect the signal cross section and/or br | ||
| self.add_parameter_group("signal_norm_xs") | ||
| self.add_parameter_group("signal_norm_xsbr") | ||
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| # parameter that is added by the HH physics model, representing kl-dependent QCDscale + mtop | ||
| # uncertainties on the ggHH cross section | ||
| self.add_parameter_to_group("THU_HH", "theory") | ||
| self.add_parameter_to_group("THU_HH", "signal_norm_xs") | ||
| self.add_parameter_to_group("THU_HH", "signal_norm_xsbr") | ||
|
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||
| # theory uncertainties | ||
| self.add_parameter( | ||
| "BR_hbb", | ||
| type=ParameterType.rate_gauss, | ||
| process=["*_hbb", "*_hbbhtt"], | ||
| effect=(0.9874, 1.0124), | ||
| group=["theory", "signal_norm_xsbr"], | ||
| ) | ||
| self.add_parameter( | ||
| "BR_htt", | ||
| type=ParameterType.rate_gauss, | ||
| process=["*_htt", "*_hbbhtt"], | ||
| effect=(0.9837, 1.0165), | ||
| group=["theory", "signal_norm_xsbr"], | ||
| ) | ||
| self.add_parameter( | ||
| "pdf_gg", # contains alpha_s | ||
| type=ParameterType.rate_gauss, | ||
| process="TT", | ||
| effect=1.042, | ||
| group=["theory"], | ||
| ) | ||
| self.add_parameter( | ||
| "pdf_Higgs_ggHH", # contains alpha_s | ||
| type=ParameterType.rate_gauss, | ||
| process="ggHH_*", | ||
| effect=1.023, | ||
| group=["theory", "signal_norm_xs", "signal_norm_xsbr"], | ||
| ) | ||
| self.add_parameter( | ||
| "pdf_Higgs_qqHH", # contains alpha_s | ||
| type=ParameterType.rate_gauss, | ||
| process="qqHH_*", | ||
| effect=1.027, | ||
| group=["theory", "signal_norm_xs", "signal_norm_xsbr"], | ||
| ) | ||
| self.add_parameter( | ||
| "QCDscale_ttbar", | ||
| type=ParameterType.rate_gauss, | ||
| process="TT", | ||
| effect=(0.965, 1.024), | ||
| group=["theory"], | ||
| ) | ||
| self.add_parameter( | ||
| "QCDscale_qqHH", | ||
| type=ParameterType.rate_gauss, | ||
| process="qqHH_*", | ||
| effect=(0.9997, 1.0005), | ||
| group=["theory", "signal_norm_xs", "signal_norm_xsbr"], | ||
| ) | ||
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||
| # lumi | ||
| lumi = self.config_inst.x.luminosity | ||
| for unc_name in lumi.uncertainties: | ||
| self.add_parameter( | ||
| unc_name, | ||
| type=ParameterType.rate_gauss, | ||
| effect=lumi.get(names=unc_name, direction=("down", "up"), factor=True), | ||
| group="experiment", | ||
| ) | ||
|
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| # btag | ||
| for name in self.config_inst.x.btag_unc_names: | ||
| self.add_parameter( | ||
| f"CMS_btag_{name}", | ||
| type=ParameterType.shape, | ||
| config_shift_source=f"btag_{name}", | ||
| group="experiment", | ||
| ) | ||
|
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| # pileup | ||
| self.add_parameter( | ||
| "CMS_pileup_2022", | ||
| type=ParameterType.shape, | ||
| config_shift_source="minbias_xs", | ||
| group="experiment", | ||
| ) | ||
|
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| # | ||
| # cleanup | ||
| # | ||
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| self.cleanup(keep_parameters="THU_HH") | ||
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| @inference_model | ||
| def default_no_shifts(self): | ||
| # same initialization as "default" above | ||
| default.init_func.__get__(self, self.__class__)() | ||
|
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| # | ||
| # remove all parameters that require a shift source other than nominal | ||
| # | ||
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| for category_name, process_name, parameter in self.iter_parameters(): | ||
| if parameter.type.is_shape or any(trafo.from_shape for trafo in parameter.transformations): | ||
| self.remove_parameter(parameter.name, process=process_name, category=category_name) | ||
|
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| # | ||
| # cleanup | ||
| # | ||
|
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| self.cleanup(keep_parameters="THU_HH") |
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