Fix TQ input variables (#227)

* fix tq input variables * code formating
cms-L1TK · Nov 15, 2023 · 02bc945 · 02bc945
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commit 02bc945
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diff --git a/L1Trigger/TrackTrigger/python/TrackQualityParams_cfi.py b/L1Trigger/TrackTrigger/python/TrackQualityParams_cfi.py
@@ -7,7 +7,7 @@
                               # git clone https://github.com/cms-data/L1Trigger-TrackTrigger.git L1Trigger/TrackTrigger/data
                               ONNXInputName = cms.string("feature_input"),
                               #Vector of strings of training features, in the order that the model was trained with
-                              featureNames = cms.vstring(["eta", "z0", "bendchi2_bin", "nstub", 
+                              featureNames = cms.vstring(["tanl", "z0_scaled", "bendchi2_bin", "nstub",
                                                           "nlaymiss_interior", "chi2rphi_bin", "chi2rz_bin"]),
                               # Parameters for cut based classifier, optimized for L1 Track MET
                               # (Table 3.7  The Phase-2 Upgrade of the CMS Level-1 Trigger http://cds.cern.ch/record/2714892) 

diff --git a/L1Trigger/TrackTrigger/src/L1TrackQuality.cc b/L1Trigger/TrackTrigger/src/L1TrackQuality.cc
@@ -74,19 +74,23 @@ std::vector<float> L1TrackQuality::featureTransform(TTTrack<Ref_Phase2TrackerDig
 
   // get other variables directly from TTTrack
   float tmp_trk_z0 = aTrack.z0();
+  float tmp_trk_z0_scaled = tmp_trk_z0 / abs(aTrack.minZ0);
   float tmp_trk_phi = aTrack.phi();
   float tmp_trk_eta = aTrack.eta();
+  float tmp_trk_tanl = aTrack.tanL();
 
   // -------- fill the feature map ---------
 
   feature_map["nstub"] = float(tmp_trk_nstub);
   feature_map["z0"] = tmp_trk_z0;
+  feature_map["z0_scaled"] = tmp_trk_z0_scaled;
   feature_map["phi"] = tmp_trk_phi;
   feature_map["eta"] = tmp_trk_eta;
   feature_map["nlaymiss_interior"] = float(tmp_trk_nlaymiss_interior);
   feature_map["bendchi2_bin"] = tmp_trk_bendchi2_bin;
   feature_map["chi2rphi_bin"] = tmp_trk_chi2rphi_bin;
   feature_map["chi2rz_bin"] = tmp_trk_chi2rz_bin;
+  feature_map["tanl"] = tmp_trk_tanl;
 
   // fill tensor with track params
   transformedFeatures.reserve(featureNames.size());