Use tec calibrator from cf.

hbt/calibration/default.py

@@ -7,16 +7,16 @@
 from columnflow.calibration import Calibrator, calibrator
 from columnflow.calibration.cms.met import met_phi
 from columnflow.calibration.cms.jets import jec, jec_nominal, jer
+from columnflow.calibration.cms.tau import tec, tec_nominal
 from columnflow.production.cms.mc_weight import mc_weight
 from columnflow.production.cms.seeds import deterministic_seeds
 from columnflow.util import maybe_import
 
 from hbt.util import IF_RUN_2
-from hbt.calibration.tau import tec, tec_nominal
-
 
 ak = maybe_import("awkward")
 
+
 # derive calibrators to add settings
 jec_full = jec.derive("jec_full", cls_dict={"mc_only": True, "nominal_only": True})
 

hbt/config/configs_hbt.py

@@ -452,20 +452,22 @@ def if_era(
     # tau settings
     ################################################################################################
 
-    # TODO: combine with tau_tagger info for tec
-    cfg.x.tau_energy_calibration = ("Tight", "Tight")
-
-    # name of the deep tau tagger
-    # (used in the tec calibrator)
+    # tau tagger name
+    # (needed by TECConfig below as well as tau selection)
     if run == 2:
-        # TODO: still correct?
+        # TODO: still correct? what about 2p5?
         cfg.x.tau_tagger = "DeepTau2017v2p1"
     elif run == 3:
         # https://twiki.cern.ch/twiki/bin/view/CMS/TauIDRecommendationForRun3
         cfg.x.tau_tagger = "DeepTau2018v2p5"
     else:
         assert False
 
+    # tec config
+    from columnflow.calibration.cms.tau import TECConfig
+    corrector_kwargs = {"wp": "Tight", "wp_VSe": "Tight"} if run == 3 else {}
+    cfg.x.tec = TECConfig(tagger=cfg.x.tau_tagger, corrector_kwargs=corrector_kwargs)
+
     # tau ID working points
     if campaign.x.version < 10:
         cfg.x.tau_id_working_points = DotDict.wrap({

law.cfg

@@ -40,9 +40,9 @@ default_analysis: hbt.config.analysis_hbt.analysis_hbt
 default_config: run3_2022_preEE
 default_dataset: hh_ggf_hbb_htt_kl1_kt1_powheg
 
-production_modules: columnflow.production.{categories,normalization,processes}, columnflow.production.cms.{btag,electron,mc_weight,muon,pdf,pileup,scale,seeds,gen_top_decay}, hbt.production.{default,weights,features,btag,tau,minimal,hh_mass,res_pdnn}
-calibration_modules: columnflow.calibration.cms.{jets,met}, hbt.calibration.{default,tau,fake_triggers}
+calibration_modules: columnflow.calibration.cms.{jets,met,tau}, hbt.calibration.{default,fake_triggers}
 selection_modules: columnflow.selection.empty, columnflow.selection.cms.{json_filter,met_filters}, hbt.selection.{default,lepton,trigger}
+production_modules: columnflow.production.{categories,normalization,processes}, columnflow.production.cms.{btag,electron,mc_weight,muon,pdf,pileup,scale,seeds,gen_top_decay}, hbt.production.{default,weights,features,btag,tau,minimal,hh_mass,res_pdnn}
 categorization_modules: hbt.categorization.default
 weight_production_modules: columnflow.weight.{empty,all_weights}, hbt.weight.default
 ml_modules: hbt.ml.test