duplicationRate_vs_eta: RatioCheck (a/b - 1) / sigma(a/b) > 3 for 30/34 bins, cf. 5.830951894845301

duplicationRate_vs_eta: ResidualCheck pull > 3 in 29/40 bins, cf. 6.324555320336759

duplicationRate_vs_eta: IntegralTest Intregal: 4.64904677121452+-1.0242343158874636 vs. 11.147590967238948+-1.028863142614552: (int_a - int_b) / sqrt(sigma(int_a)^2 + sigma(int_b)^2) = 4.48 >= 3

duplicationRate_vs_pT: RatioCheck (a/b - 1) / sigma(a/b) > 3 for 3/3 bins, cf. 1.7320508075688772

duplicationRate_vs_phi: KolmogorovTest ! 0.2897408332243991 > 0.68

duplicationRate_vs_phi: RatioCheck (a/b - 1) / sigma(a/b) > 3 for 94/100 bins, cf. 10.0

duplicationRate_vs_phi: ResidualCheck pull > 3 in 63/100 bins, cf. 10.0

duplicationRate_vs_phi: IntegralTest Intregal: 11.163842351108018+-0.3410793031936493 vs. 32.085438441110604+-0.4725062535521318: (int_a - int_b) / sqrt(sigma(int_a)^2 + sigma(int_b)^2) = 35.90 >= 3

fakerate_vs_eta: ResidualCheck pull > 3 in 31/40 bins, cf. 6.324555320336759

fakerate_vs_eta: IntegralTest Intregal: 6.852679186142136+-1.0188373802186939 vs. 0.4489942205490908+-1.0106271919877843: (int_a - int_b) / sqrt(sigma(int_a)^2 + sigma(int_b)^2) = 4.46 >= 3

✅ Dataset generation succeeded: CI/physmon/workflows/physmon_simulation.py

✅ Dataset generation succeeded: CI/physmon/workflows/physmon_trackfitting_kf.py

✅ Dataset generation succeeded: CI/physmon/workflows/physmon_trackfitting_gsf.py

✅ Dataset generation succeeded: CI/physmon/workflows/physmon_trackfitting_gx2f.py

✅ Dataset generation succeeded: CI/physmon/workflows/physmon_trackfinding_1muon.py

✅ Dataset generation succeeded: CI/physmon/workflows/physmon_trackfinding_4muon_50vertices.py