From 1ae8ba8e635ac81d3a81b8d1eb39bd0f001aa716 Mon Sep 17 00:00:00 2001 From: tihsu99 Date: Wed, 25 Feb 2026 22:55:10 +0100 Subject: [PATCH 01/15] update figure sizes and color mappings in paper_plot and style --- plot_styles/style.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/plot_styles/style.py b/plot_styles/style.py index d07deb96..b74319d5 100644 --- a/plot_styles/style.py +++ b/plot_styles/style.py @@ -17,12 +17,12 @@ # } BASE_MODEL_COLORS = { - "SSL": "#D55E00", - "Nominal": "#0072B2", - "Ablation": "#3E5F78", - "Scratch": "#E69F00", - "Ref.": "#9A9A9A", - "SPANet": "#9A9A9A", + "SSL": "#D55E00", # distinct muted teal-green (large separation) + "Nominal": "#0072B2", # fixed + "Ablation": "#3E5F78", # darker blue-grey for strong contrast + "Scratch": "#E69F00", # fixed + "Ref.": "#9A9A9A", # neutral grey + "SPANet": "#9A9A9A", # same grey for grouping "XGBoost": "#009E73", "TabPFN": "#CC79A7", } From 3228703fd5ba76a66ac3bcf594fe5c5f4ad6a562 Mon Sep 17 00:00:00 2001 From: tihsu99 Date: Wed, 8 Jul 2026 19:35:57 +0200 Subject: [PATCH 02/15] update figure sizes and color mappings in paper_plot and style --- plot_styles/style.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/plot_styles/style.py b/plot_styles/style.py index b74319d5..c8ef951a 100644 --- a/plot_styles/style.py +++ b/plot_styles/style.py @@ -25,6 +25,7 @@ "SPANet": "#9A9A9A", # same grey for grouping "XGBoost": "#009E73", "TabPFN": "#CC79A7", + "Sup(Cls)": "#56B4E9" } MODEL_COLORS = dict(BASE_MODEL_COLORS) @@ -32,6 +33,7 @@ "evenet-scratch_individual": BASE_MODEL_COLORS["Scratch"], "evenet-pretrain_individual": BASE_MODEL_COLORS["Nominal"], "evenet-SSL_individual": BASE_MODEL_COLORS["SSL"], + "evenet-ClsPretrain_individual": BASE_MODEL_COLORS["Sup(Cls)"], "evenet-pretrain_param": "#7E65EA", "evenet-scratch_param": BASE_MODEL_COLORS.get("Scratch", BASE_MODEL_COLORS["Nominal"]), "xgb_individual": BASE_MODEL_COLORS["XGBoost"], @@ -54,6 +56,7 @@ "evenet-pretrain_individual": "Full", "evenet-pretrain_param": "Full (param)", "evenet-scratch_param": "Scratch (param)", + "evenet-ClsPretrain_individual": "Sup(Cls)", "xgb_individual": "XGBoost", "xgb_param": "XGBoost (param)", "tabpfn_individual": "TabPFN", From b9aeadeacbd24ceabe151abd1bb178c0b591c896 Mon Sep 17 00:00:00 2001 From: Yulei Zhang Date: Thu, 2 Jul 2026 22:15:18 +0200 Subject: [PATCH 03/15] fix axis range --- paper_plot.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/paper_plot.py b/paper_plot.py index be6a5c8b..3af10f07 100644 --- a/paper_plot.py +++ b/paper_plot.py @@ -390,8 +390,8 @@ "fig_size": (8.5, 8), "text_font_size": 14.0, "text_line_spacing": 0.041, - "y_min": 3, - "y_max": 1.5e3, + "y_min": 2.5, + "y_max": 2e3, "x_min": 6, "x_max": 14, "sideband_text_y": 0.05, @@ -404,8 +404,8 @@ "fpr_thresholds": [-1.0], "height_ratio": (2, 1), "y_label": "Data - Pred. \n ($\\ell$-reweighted)", - # "y_min": -10, - # "y_max": 30, + "y_min": -75, + "y_max": 500, "nbins": 2, "show_markers": False, }, @@ -422,8 +422,8 @@ "f_name": "ad_mass_distribution_no_signal", "caption": "AD: mass distribution (12-bin quintic fit)", "sideband_text": r"OS$\rightarrow$SS", - "y_min": 1.5, - "y_max": 1e3, + # "y_min": 1.5, + # "y_max": 1e3, "lower_panel": { # "y_min": -10, # "y_max": 13, From c4a5a583bbae2cf1ddb0b5a6f70f8bd6d6badb72 Mon Sep 17 00:00:00 2001 From: tihsu Date: Wed, 8 Jul 2026 10:40:46 -0700 Subject: [PATCH 04/15] [grid study] update Cls(Pretrain) --- .../method_arxiv/all_checkpoints.txt | 118 + .../eval_metrics_MX-1000_MY-100.json | 2027 ++++++++++++++++ .../eval_metrics_MX-1000_MY-125.json | 2027 ++++++++++++++++ .../eval_metrics_MX-1000_MY-150.json | 2027 ++++++++++++++++ .../eval_metrics_MX-1000_MY-190.json | 2028 ++++++++++++++++ .../eval_metrics_MX-1000_MY-250.json | 2027 ++++++++++++++++ .../eval_metrics_MX-1000_MY-300.json | 2027 ++++++++++++++++ .../eval_metrics_MX-1000_MY-350.json | 2028 ++++++++++++++++ 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0.9789632973156043, + 1.090661948726144, + 1.207966865270769, + 1.3586607315172825, + 1.548943213000561, + 1.7951389025696536, + 2.150449797778304, + 2.4438452720655226, + 3.020427207952576, + 3.7175210161199606, + 4.064705067534446, + NaN + ], + "trafo_edge": [ + 0.05594400000000001, + 0.068931, + 0.07992, + 0.094905, + 0.182817, + 0.870129, + 0.9680310000000001, + 0.9870120000000001, + 0.9940050000000001, + 0.9980010000000001, + 0.999999, + 1.0 + ] +} \ No newline at end of file From 1e8c463dddc4a59c96f11686ffa59fd269e7559d Mon Sep 17 00:00:00 2001 From: tihsu99 Date: Thu, 9 Jul 2026 17:26:26 +0200 Subject: [PATCH 05/15] update color mappings for Sup(Cls) and adjust AD mass FPR colors --- paper_plot.py | 16 +++++++++++++++- plot_styles/style.py | 5 +++-- 2 files changed, 18 insertions(+), 3 deletions(-) diff --git a/paper_plot.py b/paper_plot.py index 3af10f07..1de3da7e 100644 --- a/paper_plot.py +++ b/paper_plot.py @@ -565,6 +565,12 @@ "label": "Scratch", "color": MODEL_COLORS["evenet-scratch_individual"], }, + { + "model": "evenet-ClsPretrain", + "type": "individual", + "label": "Cls(Sup)", + "color": MODEL_COLORS["evenet-ClsPretrain_individual"], + }, { "model": "xgb", "type": "individual", @@ -620,6 +626,12 @@ "label": "Full", "color": MODEL_COLORS["evenet-pretrain_individual"], }, + { + "model": "evenet-ClsPretrain", + "type": "individual", + "label": "Cls(Sup)", + "color": MODEL_COLORS["evenet-ClsPretrain_individual"], + }, { "model": "evenet-pretrain", "type": "param", @@ -2503,6 +2515,7 @@ def read_grid_data(file_path): ("evenet-scratch", "individual"): (2048, 1), ("evenet-scratch", "param"): (2048, 2), ("evenet-SSL", "individual"): (4096, 1), + ("evenet-ClsPretrain", "individual"): (4096, 1), } with open(method_dir / "all_checkpoints.txt") as f: @@ -2510,8 +2523,9 @@ def read_grid_data(file_path): pattern_ckpt = re.compile( r""" - ^(?Pevenet-(?:pretrain|scratch|SSL))/ + ^(?Pevenet-(?:pretrain|scratch|SSL|ClsPretrain))/ (?P(?:individual|parametrized_reduce_factor_x_1_y_1))/ + /? (?: MX-(?P[\d.]+)_MY-(?P[\d.]+)/ | diff --git a/plot_styles/style.py b/plot_styles/style.py index c8ef951a..f3699423 100644 --- a/plot_styles/style.py +++ b/plot_styles/style.py @@ -25,7 +25,8 @@ "SPANet": "#9A9A9A", # same grey for grouping "XGBoost": "#009E73", "TabPFN": "#CC79A7", - "Sup(Cls)": "#56B4E9" + "Sup(Cls)": "#56B4E9", + "Cls(Sup)": "#56B4E9", } MODEL_COLORS = dict(BASE_MODEL_COLORS) @@ -56,7 +57,7 @@ "evenet-pretrain_individual": "Full", "evenet-pretrain_param": "Full (param)", "evenet-scratch_param": "Scratch (param)", - "evenet-ClsPretrain_individual": "Sup(Cls)", + "evenet-ClsPretrain_individual": "Cls(Sup)", "xgb_individual": "XGBoost", "xgb_param": "XGBoost (param)", "tabpfn_individual": "TabPFN", From dadb6eeb560036118f4e46c9aa559e8a620f1725 Mon Sep 17 00:00:00 2001 From: tihsu Date: Thu, 9 Jul 2026 08:43:17 -0700 Subject: [PATCH 06/15] add grid study for ClsOnly Pretrain --- .../method_arxiv/all_checkpoints.txt | 240 +- .../eval_metrics_MX-1000_MY-100.json | 4012 ++++++++-------- .../eval_metrics_MX-1000_MY-125.json | 4018 ++++++++-------- .../eval_metrics_MX-1000_MY-150.json | 4017 ++++++++-------- .../eval_metrics_MX-1000_MY-190.json | 3998 ++++++++-------- .../eval_metrics_MX-1000_MY-250.json | 4014 ++++++++-------- .../eval_metrics_MX-1000_MY-300.json | 4018 ++++++++-------- .../eval_metrics_MX-1000_MY-350.json | 4027 ++++++++-------- .../eval_metrics_MX-1000_MY-400.json | 4018 ++++++++-------- .../eval_metrics_MX-1000_MY-450.json | 4012 ++++++++-------- .../eval_metrics_MX-1000_MY-500.json | 4004 ++++++++-------- .../eval_metrics_MX-1000_MY-60.json | 4006 ++++++++-------- .../eval_metrics_MX-1000_MY-600.json | 4027 ++++++++-------- .../eval_metrics_MX-1000_MY-70.json | 3987 ++++++++-------- .../eval_metrics_MX-1000_MY-700.json | 4026 ++++++++-------- .../eval_metrics_MX-1000_MY-80.json | 4007 ++++++++-------- .../eval_metrics_MX-1000_MY-800.json | 4020 ++++++++-------- .../eval_metrics_MX-1000_MY-90.json | 4009 ++++++++-------- .../eval_metrics_MX-240_MY-100.json | 3944 ++++++++-------- .../eval_metrics_MX-240_MY-60.json | 3932 ++++++++-------- .../eval_metrics_MX-240_MY-70.json | 3898 ++++++++-------- .../eval_metrics_MX-240_MY-80.json | 3934 ++++++++-------- .../eval_metrics_MX-240_MY-90.json | 3948 ++++++++-------- .../eval_metrics_MX-280_MY-100.json | 3842 ++++++++-------- .../eval_metrics_MX-280_MY-125.json | 3864 ++++++++-------- .../eval_metrics_MX-280_MY-150.json | 3918 ++++++++-------- .../eval_metrics_MX-280_MY-60.json | 3840 ++++++++-------- .../eval_metrics_MX-280_MY-70.json | 3816 ++++++++-------- .../eval_metrics_MX-280_MY-80.json | 3944 ++++++++-------- .../eval_metrics_MX-280_MY-90.json | 3836 ++++++++-------- .../eval_metrics_MX-300_MY-100.json | 3934 ++++++++-------- .../eval_metrics_MX-300_MY-125.json | 3746 +++++++-------- .../eval_metrics_MX-300_MY-150.json | 3894 ++++++++-------- .../eval_metrics_MX-300_MY-60.json | 3904 ++++++++-------- .../eval_metrics_MX-300_MY-70.json | 3942 ++++++++-------- .../eval_metrics_MX-300_MY-80.json | 3838 ++++++++-------- .../eval_metrics_MX-300_MY-90.json | 3860 ++++++++-------- .../eval_metrics_MX-320_MY-100.json | 3806 ++++++++-------- .../eval_metrics_MX-320_MY-125.json | 3886 ++++++++-------- .../eval_metrics_MX-320_MY-150.json | 3800 ++++++++-------- .../eval_metrics_MX-320_MY-60.json | 3842 ++++++++-------- .../eval_metrics_MX-320_MY-70.json | 3888 ++++++++-------- .../eval_metrics_MX-320_MY-80.json | 3896 ++++++++-------- .../eval_metrics_MX-320_MY-90.json | 3832 ++++++++-------- .../eval_metrics_MX-360_MY-125.json | 3880 ++++++++-------- .../eval_metrics_MX-360_MY-60.json | 3938 ++++++++-------- .../eval_metrics_MX-360_MY-70.json | 3920 ++++++++-------- .../eval_metrics_MX-360_MY-80.json | 3938 ++++++++-------- .../eval_metrics_MX-400_MY-100.json | 3942 ++++++++-------- .../eval_metrics_MX-400_MY-150.json | 3980 ++++++++-------- .../eval_metrics_MX-400_MY-250.json | 3958 ++++++++-------- .../eval_metrics_MX-400_MY-60.json | 3936 ++++++++-------- .../eval_metrics_MX-400_MY-80.json | 3934 ++++++++-------- .../eval_metrics_MX-400_MY-90.json | 3990 ++++++++-------- .../eval_metrics_MX-500_MY-100.json | 3976 ++++++++-------- .../eval_metrics_MX-500_MY-125.json | 3964 ++++++++-------- .../eval_metrics_MX-500_MY-150.json | 3980 ++++++++-------- .../eval_metrics_MX-500_MY-250.json | 3948 ++++++++-------- .../eval_metrics_MX-500_MY-300.json | 3952 ++++++++-------- .../eval_metrics_MX-500_MY-60.json | 3998 ++++++++-------- .../eval_metrics_MX-500_MY-70.json | 4013 ++++++++-------- .../eval_metrics_MX-500_MY-80.json | 4006 ++++++++-------- .../eval_metrics_MX-500_MY-90.json | 3946 ++++++++-------- .../eval_metrics_MX-600_MY-100.json | 4005 ++++++++-------- .../eval_metrics_MX-600_MY-125.json | 3978 ++++++++-------- .../eval_metrics_MX-600_MY-150.json | 4006 ++++++++-------- .../eval_metrics_MX-600_MY-250.json | 3966 ++++++++-------- .../eval_metrics_MX-600_MY-300.json | 3990 ++++++++-------- .../eval_metrics_MX-600_MY-400.json | 3976 ++++++++-------- .../eval_metrics_MX-600_MY-60.json | 4020 ++++++++-------- .../eval_metrics_MX-600_MY-70.json | 4001 ++++++++-------- .../eval_metrics_MX-600_MY-80.json | 4014 ++++++++-------- .../eval_metrics_MX-600_MY-90.json | 4008 ++++++++-------- .../eval_metrics_MX-650_MY-100.json | 4028 ++++++++-------- .../eval_metrics_MX-650_MY-125.json | 4006 ++++++++-------- .../eval_metrics_MX-650_MY-150.json | 4000 ++++++++-------- .../eval_metrics_MX-650_MY-190.json | 3990 ++++++++-------- .../eval_metrics_MX-650_MY-250.json | 3984 ++++++++-------- .../eval_metrics_MX-650_MY-300.json | 3994 ++++++++-------- .../eval_metrics_MX-650_MY-350.json | 4002 ++++++++-------- .../eval_metrics_MX-650_MY-400.json | 4004 ++++++++-------- .../eval_metrics_MX-650_MY-450.json | 3992 ++++++++-------- .../eval_metrics_MX-650_MY-500.json | 3976 ++++++++-------- .../eval_metrics_MX-650_MY-60.json | 4018 ++++++++-------- .../eval_metrics_MX-650_MY-70.json | 4007 ++++++++-------- .../eval_metrics_MX-650_MY-80.json | 3990 ++++++++-------- .../eval_metrics_MX-650_MY-90.json | 4017 ++++++++-------- .../eval_metrics_MX-700_MY-100.json | 4030 ++++++++--------- .../eval_metrics_MX-700_MY-125.json | 4021 ++++++++-------- .../eval_metrics_MX-700_MY-150.json | 3986 ++++++++-------- .../eval_metrics_MX-700_MY-250.json | 4006 ++++++++-------- .../eval_metrics_MX-700_MY-300.json | 3990 ++++++++-------- .../eval_metrics_MX-700_MY-400.json | 3992 ++++++++-------- .../eval_metrics_MX-700_MY-500.json | 3966 ++++++++-------- .../eval_metrics_MX-700_MY-60.json | 4014 ++++++++-------- .../eval_metrics_MX-700_MY-70.json | 4001 ++++++++-------- .../eval_metrics_MX-700_MY-80.json | 4020 ++++++++-------- .../eval_metrics_MX-700_MY-90.json | 4020 ++++++++-------- .../eval_metrics_MX-800_MY-100.json | 4014 ++++++++-------- .../eval_metrics_MX-800_MY-125.json | 4010 ++++++++-------- .../eval_metrics_MX-800_MY-250.json | 4010 ++++++++-------- .../eval_metrics_MX-800_MY-300.json | 4012 ++++++++-------- .../eval_metrics_MX-800_MY-400.json | 3998 ++++++++-------- .../eval_metrics_MX-800_MY-500.json | 4006 ++++++++-------- .../eval_metrics_MX-800_MY-60.json | 3991 ++++++++-------- .../eval_metrics_MX-800_MY-600.json | 4006 ++++++++-------- .../eval_metrics_MX-800_MY-70.json | 3995 ++++++++-------- .../eval_metrics_MX-800_MY-80.json | 4011 ++++++++-------- .../eval_metrics_MX-800_MY-90.json | 4017 ++++++++-------- .../eval_metrics_MX-900_MY-100.json | 4010 ++++++++-------- .../eval_metrics_MX-900_MY-125.json | 4026 ++++++++-------- .../eval_metrics_MX-900_MY-150.json | 4002 ++++++++-------- .../eval_metrics_MX-900_MY-250.json | 4022 ++++++++-------- .../eval_metrics_MX-900_MY-300.json | 4012 ++++++++-------- .../eval_metrics_MX-900_MY-400.json | 4005 ++++++++-------- .../eval_metrics_MX-900_MY-500.json | 4004 ++++++++-------- .../eval_metrics_MX-900_MY-60.json | 4001 ++++++++-------- .../eval_metrics_MX-900_MY-600.json | 4023 ++++++++-------- .../eval_metrics_MX-900_MY-70.json | 3997 ++++++++-------- .../eval_metrics_MX-900_MY-700.json | 4006 ++++++++-------- .../eval_metrics_MX-900_MY-80.json | 3989 ++++++++-------- .../eval_metrics_MX-900_MY-90.json | 4014 ++++++++-------- 122 files changed, 240320 insertions(+), 240322 deletions(-) diff --git a/data/Grid_Study/method_arxiv/all_checkpoints.txt b/data/Grid_Study/method_arxiv/all_checkpoints.txt index fd8b2f02..c617e066 100644 --- a/data/Grid_Study/method_arxiv/all_checkpoints.txt +++ b/data/Grid_Study/method_arxiv/all_checkpoints.txt @@ -373,121 +373,125 @@ evenet-SSL/individual/MX-500.0_MY-70.0/checkpoints/checkpoints-val_loss-epoch002 evenet-SSL/individual/MX-300.0_MY-100.0/checkpoints/checkpoints-val_loss-epoch0006-0.2853.pt evenet-SSL/individual/MX-300.0_MY-70.0/checkpoints/checkpoints-val_loss-epoch0016-0.2245.pt evenet-SSL/individual/MX-320.0_MY-150.0/checkpoints/checkpoints-val_loss-epoch0012-0.2425.pt 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-1000.0_MY-190.0/eval_metrics_MX-1000_MY-190.json index e0d8834b..1e92d0ce 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-1000.0_MY-190.0/eval_metrics_MX-1000_MY-190.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-1000.0_MY-190.0/eval_metrics_MX-1000_MY-190.json @@ -1,8 +1,8 @@ { - "auc": 0.9877750185948676, - "max_sic": 51.989304851033005, - "max_sic_unc": 8.679849038417943, - "trafo_bin_sig": 8.68447494506836, + "auc": 0.9965838139429494, + "max_sic": 26.607053407214774, + "max_sic_unc": 4.3106210216464245, + "trafo_bin_sig": 7.204629898071289, "sic": [ 1.0, 1.0, @@ -18,2011 +18,2011 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.0000007152554815, - 1.0000009536738617, - 1.0000011324876095, - 1.0000025629964409, - 1.0000057220295275, - 1.0000066160936838, - 1.0000091790731678, - 1.0000116824421363, - 1.0000159143135223, - 1.0000231263347592, - 1.0000346893015855, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-1000.0_MY-60.0/eval_metrics_MX-1000_MY-60.json index b0ad3572..cc97a799 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-1000.0_MY-60.0/eval_metrics_MX-1000_MY-60.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-1000.0_MY-60.0/eval_metrics_MX-1000_MY-60.json @@ -1,8 +1,8 @@ { - "auc": 0.9892507504578416, - "max_sic": 41.168911143105866, - "max_sic_unc": 2.3708532441216668, - "trafo_bin_sig": 3.632276773452759, + "auc": 0.9981994298067447, + "max_sic": 48.5098294231962, + "max_sic_unc": 11.967194316695535, + "trafo_bin_sig": 2.469942569732666, "sic": [ 1.0, 1.0, @@ -18,2011 +18,2011 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.0000004768370445, - 1.0000007152554815, - 1.0000011324876095, - 1.0000025629964409, - 1.0000053047993145, - 1.000008285011303, - 1.00001126521441, - 1.0000194905289013, - 1.0000324840037973, - 1.0000545367628402, - 1.0000829662238302, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-300.0_MY-125.0/eval_metrics_MX-300_MY-125.json index 3d327a70..89478188 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-300.0_MY-125.0/eval_metrics_MX-300_MY-125.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-300.0_MY-125.0/eval_metrics_MX-300_MY-125.json @@ -1,8 +1,8 @@ { - "auc": 0.8972065863495178, - "max_sic": 2.4314328402848497, - "max_sic_unc": 0.0052449795182012635, - "trafo_bin_sig": 0.9689537882804871, + "auc": 0.902413625436822, + "max_sic": 2.3883531176459423, + "max_sic_unc": 0.007627275090413418, + "trafo_bin_sig": 0.8854451179504395, "sic": [ 1.0, 1.0, @@ -20,926 +20,926 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.000001847742281, - 1.0000042915252152, - 1.0000064968851758, - 1.0000074505528416, - 1.000012874520395, - 1.000018179251414, - 1.0000253912563164, - 1.0000302190983041, - 1.0000381462450882, - 1.0000476825790061, - 1.0000551327766056, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-300.0_MY-80.0/eval_metrics_MX-300_MY-80.json index 4913c026..50b44a17 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-300.0_MY-80.0/eval_metrics_MX-300_MY-80.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-300.0_MY-80.0/eval_metrics_MX-300_MY-80.json @@ -1,8 +1,8 @@ { - "auc": 0.9140240262904631, - "max_sic": 3.020418840633109, - "max_sic_unc": 0.01095746392888387, - "trafo_bin_sig": 0.5910779237747192, + "auc": 0.9055090808274401, + "max_sic": 2.391648446947215, + "max_sic_unc": 0.008523348096704565, + "trafo_bin_sig": 0.6228495240211487, "sic": [ 1.0, 1.0, @@ -27,945 +27,945 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.0000002384185507, - 1.0000002384185507, - 1.0000002384185507, - 1.0000007152554815, - 1.0000009536738617, - 1.0000013709058901, - 1.000001847742281, - 1.0000029802277979, - 1.0000041127120323, - 1.0000070929275735, - 1.00000941748953, - 1.0000137685781563, 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-320.0_MY-70.0/eval_metrics_MX-320_MY-70.json index e966a9e7..1b3df289 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-320.0_MY-70.0/eval_metrics_MX-320_MY-70.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-320.0_MY-70.0/eval_metrics_MX-320_MY-70.json @@ -1,8 +1,8 @@ { - "auc": 0.9208173885299942, - "max_sic": 3.5029541381396436, - "max_sic_unc": 0.013460103621362024, - "trafo_bin_sig": 1.201148271560669, + "auc": 0.920797341012891, + "max_sic": 2.9769653846132913, + "max_sic_unc": 0.014612301270115534, + "trafo_bin_sig": 1.0814340114593506, "sic": [ 1.0, 1.0, @@ -23,960 +23,960 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.0000004768370445, 1.0000009536738617, - 1.0000014901150092, - 1.000002026555869, - 1.0000042915252152, - 1.000005662425222, - 1.0000101327382755, - 1.000012874520395, - 1.0000211594250346, - 1.0000253316531833, - 1.000034272083458, - 1.0000464905422395, - 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0.8611380000000001, 1.0 ] } \ No newline at end of file diff --git a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-320.0_MY-80.0/eval_metrics_MX-320_MY-80.json b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-320.0_MY-80.0/eval_metrics_MX-320_MY-80.json index 5a6e5e48..c00c443e 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-320.0_MY-80.0/eval_metrics_MX-320_MY-80.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-320.0_MY-80.0/eval_metrics_MX-320_MY-80.json @@ -1,8 +1,8 @@ { - "auc": 0.906577369592859, - "max_sic": 3.052785010610942, - "max_sic_unc": 0.010766069456863899, - "trafo_bin_sig": 0.4829266667366028, + "auc": 0.9124083630445771, + "max_sic": 2.822436769851389, + "max_sic_unc": 0.013224924992554642, + "trafo_bin_sig": 0.6934814453125, "sic": [ 1.0, 1.0, @@ -12,968 +12,968 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.0000007152554815, - 1.0000011324876095, - 1.0000034570634213, - 1.0000091194690683, 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-500.0_MY-125.0/eval_metrics_MX-500_MY-125.json index 438aecd8..960620e3 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-500.0_MY-125.0/eval_metrics_MX-500_MY-125.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-500.0_MY-125.0/eval_metrics_MX-500_MY-125.json @@ -1,8 +1,8 @@ { - "auc": 0.9649500779863391, - "max_sic": 11.893661980818834, - "max_sic_unc": 0.3610169537335953, - "trafo_bin_sig": 3.779055118560791, + "auc": 0.9719620602035632, + "max_sic": 10.663260999415177, + "max_sic_unc": 0.4146217286137182, + "trafo_bin_sig": 3.7495439052581787, "sic": [ 1.0, 1.0, @@ -14,983 +14,983 @@ 1.0, 1.0, 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0000002384185507, - 1.0000013709058901, - 1.000002741809901, - 1.0000041127120323, - 1.0000050663819717, - 1.0000085234278784, - 1.0000123976892619, - 1.0000202057704424, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-500.0_MY-150.0/eval_metrics_MX-500_MY-150.json index 12ed751d..998ed41d 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-500.0_MY-150.0/eval_metrics_MX-500_MY-150.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-500.0_MY-150.0/eval_metrics_MX-500_MY-150.json @@ -1,8 +1,8 @@ { - "auc": 0.9572626277151148, - "max_sic": 11.284611956375164, - "max_sic_unc": 0.8527310316458439, - "trafo_bin_sig": 3.472365617752075, + "auc": 0.9628271571979469, + "max_sic": 8.978189941371184, + "max_sic_unc": 0.46835047109224726, + "trafo_bin_sig": 2.8697736263275146, "sic": [ 1.0, 1.0, @@ -12,988 +12,988 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.0000011324876095, - 1.0000029802277979, - 1.0000041127120323, - 1.0000066756979324, - 1.0000110267984883, - 1.0000191329079389, - 1.000034510493838, - 1.0000486362073964, - 1.0000642517429246, - 1.0000936941122935, - 1.0001339226691697, - 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\ No newline at end of file diff --git a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-650.0_MY-500.0/eval_metrics_MX-650_MY-500.json b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-650.0_MY-500.0/eval_metrics_MX-650_MY-500.json index f8844e35..120023d0 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-650.0_MY-500.0/eval_metrics_MX-650_MY-500.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-650.0_MY-500.0/eval_metrics_MX-650_MY-500.json @@ -1,8 +1,8 @@ { - "auc": 0.9690212899266359, - "max_sic": 9.89765895295626, - "max_sic_unc": 0.2230072531905382, - "trafo_bin_sig": 2.2284889221191406, + "auc": 0.9772308547120322, + "max_sic": 9.144951770219272, + "max_sic_unc": 0.23545204305243714, + "trafo_bin_sig": 2.5554394721984863, "sic": [ 1.0, 1.0, @@ -13,987 +13,987 @@ 1.0, 1.0, 1.0, - 1.0000033974589808, - 1.000007390948639, - 1.000010967194499, - 1.0000159739172167, - 1.0000284310113967, - 1.0000546559656218, 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-650.0_MY-60.0/eval_metrics_MX-650_MY-60.json index 3111bec1..86a5a24c 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-650.0_MY-60.0/eval_metrics_MX-650_MY-60.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-650.0_MY-60.0/eval_metrics_MX-650_MY-60.json @@ -1,8 +1,8 @@ { - "auc": 0.9859367565092731, - "max_sic": 49.78179079285614, - "max_sic_unc": 4.38875233322961, - "trafo_bin_sig": 8.521063804626465, + "auc": 0.9958137213874592, + "max_sic": 35.75827109264021, + "max_sic_unc": 4.315597967413477, + "trafo_bin_sig": 5.51457405090332, "sic": [ 1.0, 1.0, @@ -10,2019 +10,2019 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.0000009536738617, - 1.000001609324114, - 1.0000023245784444, - 1.0000043511296024, - 1.0000071525317937, - 1.0000107883825098, - 1.0000184176656304, - 1.000030755523753, - 1.000040828348194, - 1.0000550731752451, - 1.0000826682252857, - 1.0001131232173526, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-150.0/eval_metrics_MX-700_MY-150.json index 3baf33a1..c4eeb181 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-150.0/eval_metrics_MX-700_MY-150.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-150.0/eval_metrics_MX-700_MY-150.json @@ -1,8 +1,8 @@ { - "auc": 0.9814149781334788, - "max_sic": 26.220351316409634, - "max_sic_unc": 2.560432599361789, - "trafo_bin_sig": 8.522902488708496, + "auc": 0.9898535444252099, + "max_sic": 21.940661116476786, + "max_sic_unc": 2.9426727246947304, + "trafo_bin_sig": 6.258390426635742, "sic": [ 1.0, 1.0, @@ -13,989 +13,989 @@ 1.0, 1.0, 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0000002384185507, - 1.0000002384185507, - 1.0000004768370445, - 1.0000004768370445, - 1.0000004768370445, - 1.0000007152554815, - 1.0000007152554815, - 1.000001192092185, - 1.000001192092185, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-500.0/eval_metrics_MX-700_MY-500.json index 88a98480..2e02f1c9 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-500.0/eval_metrics_MX-700_MY-500.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-500.0/eval_metrics_MX-700_MY-500.json @@ -1,8 +1,8 @@ { - "auc": 0.9690070972104065, - "max_sic": 13.626406222729267, - "max_sic_unc": 0.6605075132407551, - "trafo_bin_sig": 4.9000749588012695, + "auc": 0.9768252390199043, + "max_sic": 14.113225334948, + "max_sic_unc": 2.2289198004615463, + "trafo_bin_sig": 4.35689640045166, "sic": [ 1.0, 1.0, @@ -12,985 +12,985 @@ 1.0, 1.0, 1.0, - 1.0, - 1.0, - 1.0, - 1.0000002384185507, - 1.0000004768370445, - 1.0000004768370445, - 1.000001609324114, - 1.0000029802277979, - 1.000005662425222, - 1.0000097155099028, - 1.0000143050124295, - 1.0000209806148679, - 1.0000346893015855, - 1.0000495898348774, - 1.0000694966009194, 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end of file diff --git a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-70.0/eval_metrics_MX-700_MY-70.json b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-70.0/eval_metrics_MX-700_MY-70.json index 0a19571b..3f99d2fd 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-70.0/eval_metrics_MX-700_MY-70.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-70.0/eval_metrics_MX-700_MY-70.json @@ -1,8 +1,8 @@ { - "auc": 0.9883723233110476, - "max_sic": 46.699554535296, - "max_sic_unc": 3.5835598182034456, - "trafo_bin_sig": 10.346281051635742, + "auc": 0.9973302770429127, + "max_sic": 47.55513716929094, + "max_sic_unc": 5.752996881031896, + "trafo_bin_sig": 7.544198036193848, "sic": [ 1.0, 1.0, @@ -18,2011 +18,2010 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.0000011324876095, - 1.000001609324114, - 1.000002086160391, - 1.000003218645638, - 1.0000045895471157, - 1.0000085234278784, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-80.0/eval_metrics_MX-700_MY-80.json index ed726abe..7a680646 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-80.0/eval_metrics_MX-700_MY-80.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-700.0_MY-80.0/eval_metrics_MX-700_MY-80.json @@ -1,8 +1,8 @@ { - "auc": 0.9867663882692074, - "max_sic": 48.84626354398454, - "max_sic_unc": 3.109539962036586, - "trafo_bin_sig": 11.594090461730957, + "auc": 0.9959804003908248, + "max_sic": 39.327125616221274, + "max_sic_unc": 3.562200460766603, + "trafo_bin_sig": 9.147565841674805, "sic": [ 1.0, 1.0, @@ -11,2018 +11,2018 @@ 1.0, 1.0, 1.0, - 1.000000059604643, - 1.0000002980231795, - 1.0000009536738617, - 1.0000009536738617, - 1.000001192092185, - 1.0000014305104514, - 1.0000025629964409, - 1.0000032782500892, - 1.0000034570634213, - 1.0000048875689274, - 1.000007688969616, - 1.0000111460064562, - 1.0000146626351183, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-900.0_MY-100.0/eval_metrics_MX-900_MY-100.json index 467e0583..65afa5c7 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-900.0_MY-100.0/eval_metrics_MX-900_MY-100.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-900.0_MY-100.0/eval_metrics_MX-900_MY-100.json @@ -1,8 +1,8 @@ { - "auc": 0.9895106380622885, - "max_sic": 63.814185490287976, - "max_sic_unc": 6.717752054088737, - "trafo_bin_sig": 11.035795211791992, + "auc": 0.9985941880792899, + "max_sic": 49.17833074686994, + "max_sic_unc": 9.044453005039808, + "trafo_bin_sig": 7.8669819831848145, "sic": [ 1.0, 1.0, @@ -14,2014 +14,2014 @@ 1.0, 1.0, 1.0, - 1.0000011324876095, - 1.0000045895471157, - 1.000012040065763, - 1.0000234243510466, - 1.0000408879504037, - 1.0000663973699744, - 1.000106805819696, - 1.0001618135187578, - 1.0002405950079793, - 1.000353452683763, - 1.000509072902706, - 1.0006964761532635, - 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b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-900.0_MY-500.0/eval_metrics_MX-900_MY-500.json index 966d50e5..bc8fe8ef 100644 --- a/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-900.0_MY-500.0/eval_metrics_MX-900_MY-500.json +++ b/data/Grid_Study/method_arxiv/evenet-ClsPretrain/individual/MX-900.0_MY-500.0/eval_metrics_MX-900_MY-500.json @@ -1,8 +1,8 @@ { - "auc": 0.9829450660897644, - "max_sic": 26.64195136753892, - "max_sic_unc": 2.310225757394139, - "trafo_bin_sig": 11.148674964904785, + "auc": 0.9912593160280456, + "max_sic": 31.071950311295335, + "max_sic_unc": 5.9950919983650985, + "trafo_bin_sig": 8.978118896484375, "sic": [ 1.0, 1.0, @@ -11,995 +11,995 @@ 1.0, 1.0, 1.0, - 1.0000002384185507, - 1.000002086160391, - 1.0000045895471157, - 1.0000107883825098, - 1.0000192521149405, - 1.0000346296990066, - 1.000055728790016, - 1.0000852906094295, - 1.0001306448473095, - 1.0001854724545254, - 1.0002579952264643, - 1.000346540964049, - 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b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/statistics_config.yml new file mode 100644 index 00000000..f949b44a --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/statistics_config.yml @@ -0,0 +1,41 @@ +General: + Measurement: "haa_Br" + POI: "mu" + HistogramFolder: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/workspace.json new file mode 100644 index 00000000..c255e3b4 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 28940420.0, + 64271060.0, + 62690540.0, + 53842952.0, + 46333416.0, + 39996672.0, + 35720268.0, + 32502120.0, + 30083302.0, + 27807322.0, + 25866256.0, + 24241674.0, + 22191964.0, + 19312234.0, + 16034794.0, + 11206264.0, + 6363600.0, + 2712453.5, + 344575.34375, + 39620.4609375 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 3779.189453125, + 10422.9248046875, + 13446.275390625, + 13703.5810546875, + 13156.8056640625, + 14061.3984375, + 15074.5380859375, + 16509.814453125, + 18704.943359375, + 21263.9140625, + 24349.556640625, + 26540.6640625, + 28703.626953125, + 30171.06640625, + 29473.53125, + 25429.029296875, + 20325.15625, + 11826.0478515625, + 2355.962890625, + 36.1837272644043 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 28940420.0, + 64271060.0, + 62690540.0, + 53842952.0, + 46333416.0, + 39996672.0, + 35720268.0, + 32502120.0, + 30083302.0, + 27807322.0, + 25866256.0, + 24241674.0, + 22191964.0, + 19312234.0, + 16034794.0, + 11206264.0, + 6363600.0, + 2712453.5, + 344575.34375, + 39620.4609375 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..98e88d97 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- --------------------- --------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- --------------------- -------------------- ------------------- ---------------- +QCD 28940419.98 ± 1662.80 64271059.95 ± 3692.75 62690539.95 ± 3601.94 53842951.96 ± 3093.59 46333415.96 ± 2662.12 39996671.97 ± 2298.04 35720267.97 ± 2052.34 32502119.97 ± 1867.44 30083301.98 ± 1728.46 27807321.98 ± 1597.69 25866255.98 ± 1486.17 24241673.98 ± 1392.83 22191963.98 ± 1275.06 19312233.98 ± 1109.60 16034793.99 ± 921.29 11206263.99 ± 643.87 6363599.99 ± 365.63 2712453.50 ± 155.85 344575.34 ± 19.80 39620.46 ± 2.28 +haa_ma30 0.01 ± 2468.51 0.02 ± 6808.11 0.03 ± 8782.92 0.03 ± 8950.98 0.03 ± 8593.84 0.03 ± 9184.71 0.03 ± 9846.47 0.03 ± 10783.98 0.04 ± 12217.80 0.04 ± 13889.29 0.05 ± 15904.78 0.05 ± 17335.98 0.06 ± 18748.80 0.06 ± 19707.31 0.06 ± 19251.69 0.05 ± 16609.88 0.04 ± 13276.10 0.02 ± 7724.61 0.00 ± 1538.88 0.00 ± 23.63 +total 28940419.98 ± 3790.07 64271059.97 ± 9680.49 62690539.98 ± 11513.09 53842951.98 ± 11262.16 46333415.99 ± 10565.54 39996672.00 ± 10860.65 35720268.00 ± 11325.80 32502120.01 ± 12115.95 30083302.01 ± 13438.42 27807322.02 ± 15007.76 25866256.03 ± 16937.51 24241674.04 ± 18299.38 22191964.04 ± 19626.82 19312234.05 ± 20468.11 16034794.05 ± 19881.38 11206264.04 ± 17048.43 6363600.04 ± 13524.06 2712453.52 ± 7829.99 344575.35 ± 1552.23 39620.46 ± 25.22 +data 28940420.00 64271060.00 62690540.00 53842952.00 46333416.00 39996672.00 35720268.00 32502120.00 30083302.00 27807322.00 25866256.00 24241674.00 22191964.00 19312234.00 16034794.00 11206264.00 6363600.00 2712453.50 344575.34 39620.46 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/ExpectedLimit.json new file mode 100644 index 00000000..59fa047d --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/ExpectedLimit.json @@ -0,0 +1,9 @@ +{ + "haa_ma30": [ + 0.06800770120977409, + 0.09166076543547802, + 0.12736831979336222, + 0.17714926285573065, + 0.23810902380995763 + ] +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/roc_results.npz b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/roc_results.npz new file mode 100644 index 0000000000000000000000000000000000000000..008040ee6db30a9db666a9e86c3fcfe377966ab2 GIT binary patch literal 25905 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"/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json new file mode 100644 index 00000000..4cd2ae51 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 242127024.0, + 81655488.0, + 44740028.0, + 29413304.0, + 21363558.0, + 16492836.0, + 13452322.0, + 11526040.0, + 9947970.0, + 9131243.0, + 8191459.5, + 7706741.0, + 7293601.5, + 7190548.5, + 7010675.0, + 7164361.0, + 7399880.5, + 8064915.5, + 7913866.0, + 2722742.75 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 22437.869140625, + 16077.623046875, + 13172.8876953125, + 11182.783203125, + 9809.8115234375, + 9146.4423828125, + 8430.80859375, + 8384.57421875, + 8091.083984375, + 8171.4921875, + 8828.830078125, + 9208.7587890625, + 10465.138671875, + 11922.5390625, + 13964.90625, + 16831.4453125, + 23030.87109375, + 33696.94140625, + 55531.703125, + 40929.70703125 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 242127024.0, + 81655488.0, + 44740028.0, + 29413304.0, + 21363558.0, + 16492836.0, + 13452322.0, + 11526040.0, + 9947970.0, + 9131243.0, + 8191459.5, + 7706741.0, + 7293601.5, + 7190548.5, + 7010675.0, + 7164361.0, + 7399880.5, + 8064915.5, + 7913866.0, + 2722742.75 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..6b67dc34 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ----------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- --------------------- -------------------- +QCD 242127023.96 ± 11137.38 81655487.99 ± 3756.00 44740027.99 ± 2057.96 29413303.99 ± 1352.96 21363558.00 ± 982.68 16492836.00 ± 758.64 13452322.00 ± 618.78 11526040.00 ± 530.18 9947970.00 ± 457.59 9131243.00 ± 420.02 8191459.50 ± 376.79 7706741.00 ± 354.50 7293601.50 ± 335.49 7190548.50 ± 330.75 7010675.00 ± 322.48 7164361.00 ± 329.55 7399880.50 ± 340.38 8064915.50 ± 370.97 7913866.00 ± 364.02 2722742.75 ± 125.24 +haa_ma30 0.02 ± 4470.37 0.01 ± 3203.20 0.01 ± 2624.48 0.01 ± 2227.98 0.01 ± 1954.44 0.01 ± 1822.28 0.01 ± 1679.70 0.01 ± 1670.49 0.01 ± 1612.01 0.01 ± 1628.03 0.01 ± 1759.00 0.01 ± 1834.69 0.01 ± 2085.00 0.01 ± 2375.37 0.01 ± 2782.27 0.01 ± 3353.38 0.02 ± 4588.51 0.03 ± 6713.55 0.04 ± 11063.76 0.03 ± 8154.56 +total 242127023.97 ± 13472.68 81655488.00 ± 5781.59 44740028.00 ± 3897.40 29413304.00 ± 3010.65 21363558.00 ± 2496.32 16492836.00 ± 2221.96 13452322.00 ± 1996.71 11526040.00 ± 1933.51 9947970.00 ± 1833.95 9131243.00 ± 1828.05 8191459.51 ± 1932.63 7706741.01 ± 1995.36 7293601.51 ± 2233.04 7190548.51 ± 2518.59 7010675.01 ± 2919.01 7164361.01 ± 3490.82 7399880.52 ± 4727.19 8064915.53 ± 6861.82 7913866.04 ± 11205.88 2722742.78 ± 8202.53 +data 242127024.00 81655488.00 44740028.00 29413304.00 21363558.00 16492836.00 13452322.00 11526040.00 9947970.00 9131243.00 8191459.50 7706741.00 7293601.50 7190548.50 7010675.00 7164361.00 7399880.50 8064915.50 7913866.00 2722742.75 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json new file mode 100644 index 00000000..ca384716 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json @@ -0,0 +1,9 @@ +{ + "haa_ma30": [ + 0.028694651358945073, + 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"mu" + HistogramFolder: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/haa_ma30/workspace.json new file mode 100644 index 00000000..943852ee --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 140629984.0, + 110292384.0, + 65078432.0, + 44226852.0, + 32877012.0, + 25590804.0, + 20422904.0, + 16952256.0, + 14605538.0, + 12412378.0, + 11108008.0, + 9719308.0, + 9023344.0, + 8190647.0, + 7597820.0, + 6829600.0, + 6119498.0, + 5055202.5, + 3025096.0, + 740490.625 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 9062.013671875, + 13150.775390625, + 12805.01953125, + 11703.4267578125, + 11586.833984375, + 10792.802734375, + 10489.26171875, + 10802.853515625, + 10589.771484375, + 11172.7314453125, + 12017.0185546875, + 13002.0205078125, + 14708.681640625, + 16564.08984375, + 19400.46875, + 23326.369140625, + 28458.384765625, + 35498.0703125, + 37727.37109375, + 26472.294921875 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 140629984.0, + 110292384.0, + 65078432.0, + 44226852.0, + 32877012.0, + 25590804.0, + 20422904.0, + 16952256.0, + 14605538.0, + 12412378.0, + 11108008.0, + 9719308.0, + 9023344.0, + 8190647.0, + 7597820.0, + 6829600.0, + 6119498.0, + 5055202.5, + 3025096.0, + 740490.625 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..6e8e60db --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ---------------------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- ------------------- +QCD 140629983.99 ± 6344.53 110292383.99 ± 4975.85 65078431.99 ± 2936.02 44226852.00 ± 1995.30 32877012.00 ± 1483.25 25590804.00 ± 1154.53 20422904.00 ± 921.38 16952256.00 ± 764.80 14605538.00 ± 658.93 12412378.00 ± 559.98 11108008.00 ± 501.14 9719308.00 ± 438.49 9023344.00 ± 407.09 8190647.00 ± 369.52 7597820.00 ± 342.78 6829600.00 ± 308.12 6119498.00 ± 276.08 5055202.50 ± 228.07 3025096.00 ± 136.48 740490.62 ± 33.41 +haa_ma30 0.01 ± 1755.80 0.01 ± 2548.02 0.01 ± 2481.02 0.01 ± 2267.59 0.01 ± 2245.00 0.01 ± 2091.15 0.01 ± 2032.34 0.01 ± 2093.10 0.01 ± 2051.81 0.01 ± 2164.76 0.01 ± 2328.35 0.01 ± 2519.19 0.01 ± 2849.87 0.01 ± 3209.36 0.01 ± 3758.92 0.01 ± 4519.58 0.02 ± 5513.93 0.02 ± 6877.89 0.02 ± 7309.83 0.02 ± 5129.11 +total 140629983.99 ± 6002.59 110292384.00 ± 4789.32 65078432.00 ± 3162.13 44226852.00 ± 2481.18 32877012.00 ± 2248.67 25590804.00 ± 2030.44 20422904.00 ± 1936.86 16952256.00 ± 1978.96 14605538.00 ± 1938.44 12412378.01 ± 2050.58 11108008.01 ± 2215.22 9719308.01 ± 2411.28 9023344.01 ± 2743.48 8190647.01 ± 3107.87 7597820.01 ± 3660.88 6829600.01 ± 4428.13 6119498.02 ± 5429.68 5055202.52 ± 6806.53 3025096.02 ± 7266.23 740490.64 ± 5118.26 +data 140629984.00 110292384.00 65078432.00 44226852.00 32877012.00 25590804.00 20422904.00 16952256.00 14605538.00 12412378.00 11108008.00 9719308.00 9023344.00 8190647.00 7597820.00 6829600.00 6119498.00 5055202.50 3025096.00 740490.62 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/summary/ExpectedLimit.json new file mode 100644 index 00000000..5ac9ece7 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.1/summary/ExpectedLimit.json @@ -0,0 +1,9 @@ +{ + 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a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/statistics_config.yml b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/statistics_config.yml new file mode 100644 index 00000000..10e3b8cb --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/statistics_config.yml @@ -0,0 +1,41 @@ +General: + Measurement: "haa_Br" + POI: "mu" + HistogramFolder: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/workspace.json new file mode 100644 index 00000000..095ec315 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 12473441.0, + 63617988.0, + 86448528.0, + 72567528.0, + 54112456.0, + 40624284.0, + 31161458.0, + 25078970.0, + 20731194.0, + 17316300.0, + 15455202.0, + 13971540.0, + 13204452.0, + 12470227.0, + 12512747.0, + 12582881.0, + 13646769.0, + 14939074.0, + 14677643.0, + 2917226.0 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 2225.29931640625, + 9401.7392578125, + 12525.6015625, + 13275.408203125, + 12443.1826171875, + 11793.8857421875, + 10927.486328125, + 10432.9755859375, + 9936.4541015625, + 10378.7001953125, + 10352.5673828125, + 10865.169921875, + 11902.4375, + 13934.7548828125, + 16043.4501953125, + 19898.99609375, + 27405.044921875, + 40597.921875, + 62846.90234375, + 22154.39453125 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 12473441.0, + 63617988.0, + 86448528.0, + 72567528.0, + 54112456.0, + 40624284.0, + 31161458.0, + 25078970.0, + 20731194.0, + 17316300.0, + 15455202.0, + 13971540.0, + 13204452.0, + 12470227.0, + 12512747.0, + 12582881.0, + 13646769.0, + 14939074.0, + 14677643.0, + 2917226.0 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..62fa3c50 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- --------------------- +QCD 12473441.00 ± 629.89 63617987.98 ± 3212.61 86448527.98 ± 4365.51 72567527.98 ± 3664.54 54112455.99 ± 2732.59 40624283.99 ± 2051.46 31161457.99 ± 1573.60 25078969.99 ± 1266.45 20731193.99 ± 1046.89 17316300.00 ± 874.45 15455202.00 ± 780.46 13971540.00 ± 705.54 13204452.00 ± 666.80 12470227.00 ± 629.73 12512747.00 ± 631.87 12582881.00 ± 635.42 13646769.00 ± 689.14 14939074.00 ± 754.40 14677643.00 ± 741.20 2917226.00 ± 147.32 +haa_ma30 0.00 ± 1542.43 0.00 ± 6516.68 0.00 ± 8681.94 0.00 ± 9201.66 0.00 ± 8624.81 0.00 ± 8174.76 0.00 ± 7574.23 0.00 ± 7231.47 0.00 ± 6887.31 0.00 ± 7193.85 0.00 ± 7175.73 0.00 ± 7531.04 0.00 ± 8250.00 0.00 ± 9658.67 0.00 ± 11120.28 0.00 ± 13792.70 0.00 ± 18995.41 0.00 ± 28139.86 0.00 ± 43561.42 0.00 ± 15356.00 +total 12473441.00 ± 1316.39 63617987.98 ± 5505.75 86448527.98 ± 7331.18 72567527.98 ± 7867.68 54112455.99 ± 7520.21 40624283.99 ± 7282.31 31161457.99 ± 6859.31 25078969.99 ± 6638.25 20731193.99 ± 6386.76 17316300.00 ± 6764.83 15455202.00 ± 6788.82 13971540.00 ± 7177.06 13204452.00 ± 7912.12 12470227.00 ± 9335.79 12512747.00 ± 10794.29 12582881.00 ± 13462.31 13646769.00 ± 18634.58 14939074.00 ± 27742.23 14677643.00 ± 43168.10 2917226.00 ± 15277.43 +data 12473441.00 63617988.00 86448528.00 72567528.00 54112456.00 40624284.00 31161458.00 25078970.00 20731194.00 17316300.00 15455202.00 13971540.00 13204452.00 12470227.00 12512747.00 12582881.00 13646769.00 14939074.00 14677643.00 2917226.00 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/summary/ExpectedLimit.json new file mode 100644 index 00000000..d939e51b --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/summary/ExpectedLimit.json @@ -0,0 +1,9 @@ +{ + "haa_ma30": [ + 0.04805862464644109, + 0.06025778443209251, + 0.08789367557666561, + 0.11951556886418502, + 0.161645939950454 + ] +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/summary/roc_results.npz b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.01/summary/roc_results.npz new file mode 100644 index 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b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30/statistics_config.yml @@ -0,0 +1,41 @@ +General: + Measurement: "haa_Br" + POI: "mu" + HistogramFolder: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30/workspace.json new file mode 100644 index 00000000..1c83148d --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 31674302.0, + 123242520.0, + 94067144.0, + 64603168.0, + 45711220.0, + 33816728.0, + 25646678.0, + 19967172.0, + 16387556.0, + 13913709.0, + 11712452.0, + 10496058.0, + 9568889.0, + 9089682.0, + 8933546.0, + 9255411.0, + 9740861.0, + 9289274.0, + 3351444.0, + 44962.39453125 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 3033.402587890625, + 13253.2939453125, + 15156.9560546875, + 14290.560546875, + 13361.8466796875, + 12334.6318359375, + 11731.5693359375, + 11064.1806640625, + 10981.76171875, + 11355.66015625, + 11659.2021484375, + 12471.3251953125, + 13440.244140625, + 15388.1279296875, + 18206.416015625, + 24102.302734375, + 35554.35546875, + 52367.5859375, + 38193.734375, + 1395.083740234375 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 31674302.0, + 123242520.0, + 94067144.0, + 64603168.0, + 45711220.0, + 33816728.0, + 25646678.0, + 19967172.0, + 16387556.0, + 13913709.0, + 11712452.0, + 10496058.0, + 9568889.0, + 9089682.0, + 8933546.0, + 9255411.0, + 9740861.0, + 9289274.0, + 3351444.0, + 44962.39453125 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..bd74121e --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- --------------------- ----------------------- ---------------------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- ----------------- +QCD 31674301.97 ± 1424.08 123242519.88 ± 5541.02 94067143.91 ± 4229.28 64603167.94 ± 2904.58 45711219.96 ± 2055.19 33816727.97 ± 1520.41 25646677.98 ± 1153.08 19967171.98 ± 897.73 16387555.98 ± 736.79 13913708.99 ± 625.56 11712451.99 ± 526.59 10496057.99 ± 471.91 9568888.99 ± 430.22 9089681.99 ± 408.67 8933545.99 ± 401.65 9255410.99 ± 416.13 9740860.99 ± 437.95 9289273.99 ± 417.65 3351444.00 ± 150.68 44962.39 ± 2.02 +haa_ma30 0.03 ± 1972.92 0.15 ± 8619.93 0.17 ± 9858.06 0.16 ± 9294.56 0.15 ± 8690.53 0.14 ± 8022.43 0.13 ± 7630.20 0.13 ± 7196.13 0.12 ± 7142.52 0.13 ± 7385.71 0.13 ± 7583.13 0.14 ± 8111.33 0.15 ± 8741.52 0.17 ± 10008.42 0.21 ± 11841.43 0.27 ± 15676.11 0.40 ± 23124.51 0.59 ± 34059.81 0.43 ± 24841.16 0.02 ± 907.36 +total 31674302.00 ± 2831.12 123242520.03 ± 11858.22 94067144.08 ± 12089.40 64603168.10 ± 10721.65 45711220.11 ± 9647.06 33816728.11 ± 8704.32 25646678.11 ± 8130.77 19967172.11 ± 7576.73 16387556.11 ± 7448.64 13913709.12 ± 7640.99 11712452.12 ± 7794.77 10496058.13 ± 8298.82 9568889.14 ± 8910.85 9089682.17 ± 10167.84 8933546.20 ± 11996.95 9255411.26 ± 15835.94 9740861.39 ± 23291.32 9289274.59 ± 34217.70 3351444.43 ± 24897.72 44962.41 ± 908.12 +data 31674302.00 123242520.00 94067144.00 64603168.00 45711220.00 33816728.00 25646678.00 19967172.00 16387556.00 13913709.00 11712452.00 10496058.00 9568889.00 9089682.00 8933546.00 9255411.00 9740861.00 9289274.00 3351444.00 44962.39 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.03/summary/ExpectedLimit.json 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"/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/haa_ma30/workspace.json new file mode 100644 index 00000000..e7a9e800 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 151301312.0, + 106787600.0, + 64981096.0, + 44458996.0, + 32573502.0, + 25199070.0, + 20159852.0, + 16667818.0, + 14044198.0, + 12102038.0, + 10577807.0, + 9402171.0, + 8412232.0, + 7432428.0, + 6813858.0, + 6132729.5, + 5385476.5, + 4351182.0, + 2864843.0, + 857963.625 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 9616.8310546875, + 13663.3779296875, + 13112.5810546875, + 12262.263671875, + 11462.201171875, + 11120.466796875, + 10839.037109375, + 11042.068359375, + 11359.6806640625, + 11906.45703125, + 12595.9580078125, + 13886.5087890625, + 15275.556640625, + 17179.208984375, + 19647.72265625, + 23358.533203125, + 27425.146484375, + 31600.3125, + 34925.1640625, + 27061.28515625 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 151301312.0, + 106787600.0, + 64981096.0, + 44458996.0, + 32573502.0, + 25199070.0, + 20159852.0, + 16667818.0, + 14044198.0, + 12102038.0, + 10577807.0, + 9402171.0, + 8412232.0, + 7432428.0, + 6813858.0, + 6132729.5, + 5385476.5, + 4351182.0, + 2864843.0, + 857963.625 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..225d09e9 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ---------------------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- ------------------- +QCD 151301311.96 ± 6824.50 106787599.97 ± 4816.69 64981095.98 ± 2931.00 44458995.99 ± 2005.34 32573501.99 ± 1469.24 25199069.99 ± 1136.61 20159851.99 ± 909.32 16667818.00 ± 751.81 14044198.00 ± 633.47 12102038.00 ± 545.87 10577807.00 ± 477.12 9402171.00 ± 424.09 8412232.00 ± 379.44 7432428.00 ± 335.24 6813858.00 ± 307.34 6132729.50 ± 276.62 5385476.50 ± 242.91 4351182.00 ± 196.26 2864843.00 ± 129.22 857963.62 ± 38.70 +haa_ma30 0.00 ± 1877.18 0.00 ± 2667.05 0.00 ± 2559.54 0.00 ± 2393.56 0.00 ± 2237.39 0.00 ± 2170.69 0.00 ± 2115.75 0.00 ± 2155.38 0.00 ± 2217.38 0.00 ± 2324.11 0.00 ± 2458.70 0.00 ± 2710.61 0.00 ± 2981.75 0.00 ± 3353.34 0.00 ± 3835.18 0.00 ± 4559.52 0.00 ± 5353.31 0.00 ± 6168.30 0.00 ± 6817.30 0.00 ± 5282.29 +total 151301311.96 ± 6456.01 106787599.97 ± 4676.83 64981095.98 ± 3195.72 44458995.99 ± 2568.39 32573501.99 ± 2237.10 25199069.99 ± 2093.47 20159852.00 ± 2009.76 16667818.00 ± 2036.21 14044198.00 ± 2096.45 12102038.00 ± 2205.87 10577807.00 ± 2345.64 9402171.00 ± 2602.29 8412232.00 ± 2879.48 7432428.00 ± 3258.62 6813858.00 ± 3745.48 6132729.50 ± 4476.28 5385476.50 ± 5278.50 4351182.00 ± 6106.63 2864843.00 ± 6775.94 857963.63 ± 5269.70 +data 151301312.00 106787600.00 64981096.00 44458996.00 32573502.00 25199070.00 20159852.00 16667818.00 14044198.00 12102038.00 10577807.00 9402171.00 8412232.00 7432428.00 6813858.00 6132729.50 5385476.50 4351182.00 2864843.00 857963.62 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/summary/ExpectedLimit.json new file mode 100644 index 00000000..9056c61c --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.1/summary/ExpectedLimit.json @@ -0,0 +1,9 @@ +{ + "haa_ma30": [ + 0.02560407989514725, + 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b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/statistics_config.yml new file mode 100644 index 00000000..d3ccd83b --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/statistics_config.yml @@ -0,0 +1,41 @@ +General: + Measurement: "haa_Br" + POI: "mu" + HistogramFolder: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/workspace.json new file mode 100644 index 00000000..da092e18 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 179571632.0, + 104557544.0, + 63501304.0, + 43472332.0, + 30803208.0, + 23208660.0, + 18238518.0, + 14421031.0, + 11956831.0, + 10123223.0, + 8639522.0, + 7516388.0, + 6729292.5, + 6124417.5, + 5412316.5, + 4983913.0, + 4329595.5, + 3548533.0, + 2451300.25, + 915297.1875 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 8187.57373046875, + 11325.5078125, + 11421.9970703125, + 11313.4462890625, + 11102.375, + 10430.96484375, + 10175.6689453125, + 10205.822265625, + 10175.6689453125, + 10579.720703125, + 10782.751953125, + 11512.45703125, + 12907.5400390625, + 14272.4677734375, + 16835.466796875, + 19993.474609375, + 24777.7265625, + 31242.498046875, + 39998.88671875, + 52086.296875 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 179571632.0, + 104557544.0, + 63501304.0, + 43472332.0, + 30803208.0, + 23208660.0, + 18238518.0, + 14421031.0, + 11956831.0, + 10123223.0, + 8639522.0, + 7516388.0, + 6729292.5, + 6124417.5, + 5412316.5, + 4983913.0, + 4329595.5, + 3548533.0, + 2451300.25, + 915297.1875 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..72148548 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size0.3/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ---------------------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- ------------------- ------------------- ------------------- ------------------- -------------------- -------------------- -------------------- -------------------- -------------------- ------------------- +QCD 179571631.91 ± 7838.96 104557543.95 ± 4564.32 63501303.97 ± 2772.07 43472331.98 ± 1897.73 30803207.98 ± 1344.67 23208659.99 ± 1013.14 18238517.99 ± 796.18 14421030.99 ± 629.53 11956830.99 ± 521.96 10123222.99 ± 441.92 8639522.00 ± 377.15 7516388.00 ± 328.12 6729292.50 ± 293.76 6124417.50 ± 267.35 5412316.50 ± 236.27 4983913.00 ± 217.57 4329595.50 ± 189.00 3548533.00 ± 154.91 2451300.25 ± 107.01 915297.19 ± 39.96 +haa_ma30 0.00 ± 507.54 0.00 ± 702.06 0.00 ± 708.04 0.00 ± 701.31 0.00 ± 688.23 0.00 ± 646.61 0.00 ± 630.78 0.00 ± 632.65 0.00 ± 630.78 0.00 ± 655.83 0.00 ± 668.42 0.00 ± 713.65 0.00 ± 800.13 0.00 ± 884.74 0.01 ± 1043.62 0.01 ± 1239.39 0.01 ± 1535.96 0.01 ± 1936.71 0.01 ± 2479.51 0.02 ± 3228.80 +total 179571631.91 ± 7964.24 104557543.95 ± 4765.82 63501303.97 ± 3005.88 43472331.98 ± 2160.86 30803207.99 ± 1637.81 23208659.99 ± 1314.59 18238517.99 ± 1117.67 14421031.00 ± 984.36 11956831.00 ± 901.58 10123223.00 ± 866.52 8639522.00 ± 835.55 7516388.00 ± 847.54 6729292.50 ± 910.08 6124417.50 ± 978.08 5412316.50 ± 1118.80 4983913.00 ± 1303.89 4329595.51 ± 1587.63 3548533.01 ± 1976.03 2451300.26 ± 2504.85 915297.20 ± 3237.69 +data 179571632.00 104557544.00 63501304.00 43472332.00 30803208.00 23208660.00 18238518.00 14421031.00 11956831.00 10123223.00 8639522.00 7516388.00 6729292.50 6124417.50 5412316.50 4983913.00 4329595.50 3548533.00 2451300.25 915297.19 diff --git 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"/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/haa_ma30/workspace.json new file mode 100644 index 00000000..95edc7fb --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 157507216.0, + 105680520.0, + 64856408.0, + 44651968.0, + 32321756.0, + 24722032.0, + 19343068.0, + 15653682.0, + 12818936.0, + 11000568.0, + 9423766.0, + 8325501.0, + 7490691.5, + 6961586.5, + 6395008.0, + 6002401.0, + 5662612.0, + 5189063.5, + 4219445.0, + 2281585.0 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 7168.39892578125, + 10155.56640625, + 10344.5263671875, + 10209.8427734375, + 9667.0869140625, + 9797.75, + 9186.646484375, + 9441.943359375, + 9086.13671875, + 9273.0859375, + 9341.4326171875, + 10147.5263671875, + 10909.39453125, + 12228.0908203125, + 14409.162109375, + 17512.900390625, + 22618.783203125, + 30165.03515625, + 43667.48046875, + 74011.984375 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 157507216.0, + 105680520.0, + 64856408.0, + 44651968.0, + 32321756.0, + 24722032.0, + 19343068.0, + 15653682.0, + 12818936.0, + 11000568.0, + 9423766.0, + 8325501.0, + 7490691.5, + 6961586.5, + 6395008.0, + 6002401.0, + 5662612.0, + 5189063.5, + 4219445.0, + 2281585.0 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..504e7c76 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ---------------------- ---------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- ------------------- ------------------- ------------------- ------------------- ------------------- ------------------- ------------------- ------------------- ------------------- ------------------- +QCD 157507215.89 ± 6924.31 105680519.93 ± 4645.91 64856407.95 ± 2851.21 44651967.97 ± 1962.98 32321755.98 ± 1420.92 24722031.98 ± 1086.83 19343067.99 ± 850.36 15653681.99 ± 688.16 12818935.99 ± 563.54 11000567.99 ± 483.61 9423765.99 ± 414.29 8325500.99 ± 366.00 7490691.49 ± 329.30 6961586.50 ± 306.04 6395008.00 ± 281.14 6002401.00 ± 263.88 5662612.00 ± 248.94 5189063.50 ± 228.12 4219445.00 ± 185.49 2281585.00 ± 100.30 +haa_ma30 0.02 ± 78.65 0.03 ± 111.42 0.03 ± 113.49 0.03 ± 112.02 0.03 ± 106.06 0.03 ± 107.49 0.03 ± 100.79 0.03 ± 103.59 0.03 ± 99.69 0.03 ± 101.74 0.03 ± 102.49 0.03 ± 111.33 0.04 ± 119.69 0.04 ± 134.16 0.05 ± 158.09 0.06 ± 192.14 0.07 ± 248.16 0.10 ± 330.95 0.14 ± 479.09 0.24 ± 812.01 +total 157507215.91 ± 6944.11 105680519.96 ± 4674.62 64856407.99 ± 2881.28 44651968.00 ± 1993.55 32321756.01 ± 1450.71 24722032.01 ± 1118.19 19343068.02 ± 880.63 15653682.02 ± 720.73 12818936.02 ± 596.00 11000568.02 ± 518.15 9423766.02 ± 450.63 8325501.03 ± 407.97 7490691.53 ± 377.09 6961586.53 ± 363.18 6395008.04 ± 354.88 6002401.05 ± 362.69 5662612.07 ± 392.44 5189063.59 ± 445.85 4219445.14 ± 554.75 2281585.24 ± 842.36 +data 157507216.00 105680520.00 64856408.00 44651968.00 32321756.00 24722032.00 19343068.00 15653682.00 12818936.00 11000568.00 9423766.00 8325501.00 7490691.50 6961586.50 6395008.00 6002401.00 5662612.00 5189063.50 4219445.00 2281585.00 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/summary/ExpectedLimit.json new file mode 100644 index 00000000..2c329f84 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-off-dataset_size1.0/summary/ExpectedLimit.json @@ -0,0 +1,9 @@ +{ + "haa_ma30": [ + 0.020585410547699495, + 0.025585410547699507, + 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b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30/statistics_config.yml @@ -0,0 +1,41 @@ +General: + Measurement: "haa_Br" + POI: "mu" + HistogramFolder: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30/workspace.json new file mode 100644 index 00000000..559e4f6d --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 130611712.0, + 115172192.0, + 69398840.0, + 45049332.0, + 32088484.0, + 24343720.0, + 19443096.0, + 16045404.0, + 13749359.0, + 12124674.0, + 10891787.0, + 9806706.0, + 9045020.0, + 8384638.5, + 7817919.5, + 7496095.0, + 7040362.0, + 6465825.5, + 4597522.5, + 929886.25 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 7787.54248046875, + 15191.12890625, + 14797.1298828125, + 12770.8466796875, + 11482.3037109375, + 10786.771484375, + 10430.96484375, + 10147.5263671875, + 10410.86328125, + 11130.517578125, + 11395.865234375, + 12519.5703125, + 13958.876953125, + 15936.9111328125, + 18431.556640625, + 22285.091796875, + 27831.205078125, + 36414.71484375, + 45277.64453125, + 20337.171875 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 130611712.0, + 115172192.0, + 69398840.0, + 45049332.0, + 32088484.0, + 24343720.0, + 19443096.0, + 16045404.0, + 13749359.0, + 12124674.0, + 10891787.0, + 9806706.0, + 9045020.0, + 8384638.5, + 7817919.5, + 7496095.0, + 7040362.0, + 6465825.5, + 4597522.5, + 929886.25 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..ea094e38 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ---------------------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- ------------------- +QCD 130611711.98 ± 6038.09 115172191.98 ± 5324.33 69398839.99 ± 3208.26 45049331.99 ± 2082.60 32088483.99 ± 1483.43 24343720.00 ± 1125.39 19443096.00 ± 898.84 16045404.00 ± 741.77 13749359.00 ± 635.62 12124674.00 ± 560.52 10891787.00 ± 503.52 9806706.00 ± 453.36 9045020.00 ± 418.15 8384638.50 ± 387.62 7817919.50 ± 361.42 7496095.00 ± 346.54 7040362.00 ± 325.47 6465825.50 ± 298.91 4597522.50 ± 212.54 929886.25 ± 42.99 +haa_ma30 0.00 ± 1589.63 0.01 ± 3100.88 0.01 ± 3020.45 0.00 ± 2606.84 0.00 ± 2343.82 0.00 ± 2201.84 0.00 ± 2129.21 0.00 ± 2071.36 0.00 ± 2125.11 0.00 ± 2272.01 0.00 ± 2326.17 0.00 ± 2555.55 0.01 ± 2849.35 0.01 ± 3253.11 0.01 ± 3762.33 0.01 ± 4548.93 0.01 ± 5681.03 0.01 ± 7433.13 0.02 ± 9242.27 0.01 ± 4151.31 +total 130611711.98 ± 5616.11 115172191.99 ± 5015.80 69398839.99 ± 3449.63 45049332.00 ± 2630.96 32088484.00 ± 2235.46 24343720.00 ± 2047.60 19443096.00 ± 1963.94 16045404.00 ± 1910.24 13749359.00 ± 1967.85 12124674.00 ± 2118.60 10891787.00 ± 2180.86 9806706.00 ± 2416.14 9045020.00 ± 2714.68 8384638.50 ± 3123.29 7817919.51 ± 3637.45 7496095.01 ± 4426.08 7040362.01 ± 5562.90 6465825.51 ± 7322.39 4597522.52 ± 9161.94 929886.26 ± 4134.83 +data 130611712.00 115172192.00 69398840.00 45049332.00 32088484.00 24343720.00 19443096.00 16045404.00 13749359.00 12124674.00 10891787.00 9806706.00 9045020.00 8384638.50 7817919.50 7496095.00 7040362.00 6465825.50 4597522.50 929886.25 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json new file mode 100644 index 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"/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/haa_ma30/workspace.json new file mode 100644 index 00000000..8827f9d3 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 161233184.0, + 103790376.0, + 59931524.0, + 41084404.0, + 29998590.0, + 22834008.0, + 17986806.0, + 14515769.0, + 12305895.0, + 10610223.0, + 9348359.0, + 8703513.0, + 8125464.0, + 7763847.0, + 7559619.5, + 7470444.5, + 7832353.5, + 8128071.5, + 7965056.0, + 3318339.25 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 9240.9228515625, + 13022.1220703125, + 11938.62109375, + 10939.5478515625, + 10422.9248046875, + 9821.8720703125, + 9188.6572265625, + 8454.931640625, + 8145.35986328125, + 8163.451171875, + 8529.30859375, + 8844.912109375, + 9671.107421875, + 11090.3134765625, + 12740.693359375, + 16095.71484375, + 21225.720703125, + 31433.46484375, + 54838.203125, + 65534.85546875 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 161233184.0, + 103790376.0, + 59931524.0, + 41084404.0, + 29998590.0, + 22834008.0, + 17986806.0, + 14515769.0, + 12305895.0, + 10610223.0, + 9348359.0, + 8703513.0, + 8125464.0, + 7763847.0, + 7559619.5, + 7470444.5, + 7832353.5, + 8128071.5, + 7965056.0, + 3318339.25 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..b7b719f7 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ---------------------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- +QCD 161233183.84 ± 7219.45 103790375.90 ± 4647.36 59931523.94 ± 2683.52 41084403.96 ± 1839.61 29998589.97 ± 1343.23 22834007.98 ± 1022.43 17986805.98 ± 805.39 14515768.99 ± 649.96 12305894.99 ± 551.01 10610222.99 ± 475.09 9348358.99 ± 418.59 8703512.99 ± 389.71 8125463.99 ± 363.83 7763846.99 ± 347.64 7559619.49 ± 338.49 7470444.49 ± 334.50 7832353.49 ± 350.70 8128071.49 ± 363.95 7965055.99 ± 356.65 3318339.25 ± 148.58 +haa_ma30 0.03 ± 1181.38 0.04 ± 1664.78 0.03 ± 1526.26 0.03 ± 1398.54 0.03 ± 1332.49 0.03 ± 1255.65 0.03 ± 1174.70 0.02 ± 1080.90 0.02 ± 1041.32 0.02 ± 1043.63 0.02 ± 1090.41 0.03 ± 1130.75 0.03 ± 1236.38 0.03 ± 1417.81 0.04 ± 1628.80 0.05 ± 2057.71 0.06 ± 2713.54 0.09 ± 4018.52 0.16 ± 7010.64 0.19 ± 8378.12 +total 161233183.87 ± 7664.54 103790375.94 ± 5395.64 59931523.98 ± 3470.14 41084403.99 ± 2630.11 29998590.00 ± 2162.67 22834008.01 ± 1846.38 17986806.01 ± 1615.12 14515769.01 ± 1421.80 12305895.01 ± 1319.00 10610223.01 ± 1272.35 9348359.02 ± 1282.20 8703513.02 ± 1304.09 8125464.02 ± 1391.69 7763847.02 ± 1559.88 7559619.53 ± 1762.27 7470444.54 ± 2183.59 7832353.55 ± 2840.73 8128071.58 ± 4144.60 7965056.15 ± 7128.06 3318339.44 ± 8424.86 +data 161233184.00 103790376.00 59931524.00 41084404.00 29998590.00 22834008.00 17986806.00 14515769.00 12305895.00 10610223.00 9348359.00 8703513.00 8125464.00 7763847.00 7559619.50 7470444.50 7832353.50 8128071.50 7965056.00 3318339.25 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/summary/ExpectedLimit.json new file mode 100644 index 00000000..106d0736 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.1/summary/ExpectedLimit.json @@ -0,0 +1,9 @@ +{ + "haa_ma30": [ + 0.025603461533196613, + 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"/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.3/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.3/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.3/haa_ma30/workspace.json new file mode 100644 index 00000000..d02c7fe8 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.3/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 178084448.0, + 96368272.0, + 57932496.0, + 39948852.0, + 29914840.0, + 23226240.0, + 18572722.0, + 15233251.0, + 12957699.0, + 11141419.0, + 9798754.0, + 8904772.0, + 7951501.5, + 7515481.0, + 6849683.5, + 6539785.5, + 6244419.0, + 5810637.0, + 4847234.0, + 2664487.5 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 7837.7978515625, + 9894.240234375, + 9667.0869140625, + 9144.4326171875, + 8893.15625, + 8788.6259765625, + 8545.390625, + 8469.0029296875, + 8420.7578125, + 8581.57421875, + 8746.4111328125, + 9494.208984375, + 10666.1591796875, + 11769.763671875, + 13498.5400390625, + 16698.7734375, + 22076.03125, + 29626.3046875, + 45786.22265625, + 82734.4375 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 178084448.0, + 96368272.0, + 57932496.0, + 39948852.0, + 29914840.0, + 23226240.0, + 18572722.0, + 15233251.0, + 12957699.0, + 11141419.0, + 9798754.0, + 8904772.0, + 7951501.5, + 7515481.0, + 6849683.5, + 6539785.5, + 6244419.0, + 5810637.0, + 4847234.0, + 2664487.5 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.3/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.3/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..86944f30 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-on-segmentation-on-dataset_size0.3/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- ------------------- ------------------- ------------------- ------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- +QCD 178084447.98 ± 7846.05 96368271.99 ± 4245.80 57932495.99 ± 2552.39 39948852.00 ± 1760.07 29914840.00 ± 1317.99 23226240.00 ± 1023.30 18572722.00 ± 818.28 15233251.00 ± 671.15 12957699.00 ± 570.89 11141419.00 ± 490.87 9798754.00 ± 431.71 8904772.00 ± 392.33 7951501.50 ± 350.33 7515481.00 ± 331.12 6849683.50 ± 301.78 6539785.50 ± 288.13 6244419.00 ± 275.12 5810637.00 ± 256.01 4847234.00 ± 213.56 2664487.50 ± 117.39 +haa_ma30 0.00 ± 616.12 0.00 ± 777.77 0.00 ± 759.92 0.00 ± 718.83 0.00 ± 699.08 0.00 ± 690.86 0.00 ± 671.74 0.00 ± 665.74 0.00 ± 661.94 0.00 ± 674.58 0.00 ± 687.54 0.00 ± 746.33 0.00 ± 838.45 0.00 ± 925.20 0.00 ± 1061.10 0.01 ± 1312.67 0.01 ± 1735.36 0.01 ± 2328.88 0.02 ± 3599.19 0.03 ± 6503.63 +total 178084447.99 ± 7712.99 96368271.99 ± 4118.03 57932496.00 ± 2471.68 39948852.00 ± 1724.34 29914840.00 ± 1326.22 23226240.00 ± 1079.89 18572722.00 ± 917.74 15233251.00 ± 816.82 12957699.00 ± 756.68 11141419.00 ± 726.77 9798754.00 ± 713.21 8904772.00 ± 750.02 7951501.50 ± 822.72 7515481.00 ± 900.21 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1.25525329215761, + 0.9559482415631712, + 1.243060545860086, + 1.3916635136510556, + 1.2729617739139578, + 1.0652115140779626, + 0.8535821281466737, + 0.716774191417763, + 1.2604821448632435, + 0.9676727059821875, + 1.0614862707178117, + 1.23332711617069, + 1.0776756913557284, + 0.9466028543635887, + 1.2891279145663581, + 1.085666188212139, + 1.154411286245049, + 0.9634342147661339, + 1.3016441877678369, + 0.9466239442903821, + 0.9715973943707348, + 1.0963552274009294, + 1.0913625381035554, + 1.14182490105109, + 1.417018921918467, + 1.2941926871179783, + 1.0582378938543104, + 0.8722688538450227, + 0.9067912104390655, + 0.7706588529634405, + 1.375203831200155, + 0.9065949721820638, + 1.221640988375999 + ] + } } \ No newline at end of file From b982b3995b2b38770970b718e6ae36da6b02c2e5 Mon Sep 17 00:00:00 2001 From: tihsu99 Date: Fri, 10 Jul 2026 15:37:57 +0200 Subject: [PATCH 10/15] update model configurations to include Sup(Cls) in BSM and AD settings --- paper_plot.py | 9 +++++---- plot_styles/style.py | 1 + 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/paper_plot.py b/paper_plot.py index 1de3da7e..9e4b9c2d 100644 --- a/paper_plot.py +++ b/paper_plot.py @@ -208,7 +208,7 @@ DEFAULT_BSM_CONFIG = { "train_sizes": [10, 30, 100, 300], "typical_dataset_size": 300, - "models": ["Nominal", "SSL", "Scratch", "SPANet"], + "models": ["Nominal", "Sup(Cls)", "SSL", "Scratch", "SPANet"], "heads": ["Cls", "Cls+Asn", "Cls+Seg"], "pair_heads": ["Cls+Asn"], "legend": { @@ -313,7 +313,7 @@ } DEFAULT_AD_CONFIG = { - "models": ["Nominal", "SSL", "Scratch"], + "models": ["Nominal", "SSL", "Sup(Cls)", "Scratch"], "heads": [], "legend": { "legends": ["calibration", "models"], @@ -1267,6 +1267,7 @@ def read_bsm_data(folder_path): MODEL_NAME_MAPPING = { "evenet-pretrainv1": "Ablation", "evenet-pretrain-ablation1": "SSL", + "evenet-pretrain-ablation3": "Sup(Cls)", "evenet-pretrain-ablation4": "Nominal", "evenet-scratch": "Scratch", "spanet-scratch": "SPANet", @@ -1763,7 +1764,7 @@ def plot_bsm_results_webpage( from plot_styles.style import BSM_DATASET_MARKERS, BSM_DATASET_PRETTY BSM_CONFIG = { - "models": ["Nominal", "Scratch", "SSL", "SPANet"], + "models": ["Nominal", "Sup(Cls)", "Scratch", "SSL", "SPANet"], # Set to an empty list if heads are not applicable for BSM. "heads": ["Cls", "Cls+Asn"], "train_sizes": [10, 30, 100, 300], @@ -1834,7 +1835,7 @@ def read_ad_data(file_path): AD_MODEL_MAPPING = { "EveNet-f.t.(SSL)": "SSL", "EveNet-f.t.(Cls+Gen)": "Nominal", - "EveNet-f.t.(Cls+Gen+Assign)": "Ablation", + "EveNet-f.t.(Cls)": "Sup(Cls)", "EveNet-scratch": "Scratch", } diff --git a/plot_styles/style.py b/plot_styles/style.py index f3699423..1fa0c462 100644 --- a/plot_styles/style.py +++ b/plot_styles/style.py @@ -46,6 +46,7 @@ "SSL": "SSL", "Nominal": "Full", "Ablation": "Ablation", + "Sup(Cls)": "Sup(Cls)", "Scratch": "Scratch", "Ref.": "Ref", "SPANet": "SPANet", From 7d5d26ec68263ef6094fc4e2a003fdefa89dafdb Mon Sep 17 00:00:00 2001 From: tihsu Date: Fri, 10 Jul 2026 06:36:20 -0700 Subject: [PATCH 11/15] [update] ab3 BSM --- .../haa_ma30/SR_postfit_log.pdf | Bin 21816 -> 21816 bytes .../haa_ma30/SR_prefit_log.pdf | Bin 21718 -> 21718 bytes .../haa_ma30/analysis_ntuple.root | Bin 6186 -> 6186 bytes .../haa_ma30/analysis_ntuple_original.root | Bin 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a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/workspace.json index c255e3b4..fffd1f85 100644 --- a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/workspace.json +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/workspace.json @@ -5,26 +5,26 @@ "samples": [ { "data": [ - 28940420.0, - 64271060.0, - 62690540.0, - 53842952.0, - 46333416.0, - 39996672.0, - 35720268.0, - 32502120.0, - 30083302.0, - 27807322.0, - 25866256.0, - 24241674.0, - 22191964.0, - 19312234.0, - 16034794.0, - 11206264.0, - 6363600.0, - 2712453.5, - 344575.34375, - 39620.4609375 + 85195624.0, + 114523672.0, + 72788384.0, + 48457708.0, + 35174776.0, + 26339430.0, + 21335994.0, + 17652378.0, + 15120826.0, + 13477802.0, + 12245562.0, + 11408628.0, + 10828121.0, + 10518470.0, + 10709492.0, + 10797928.0, + 11245016.0, + 11498811.0, + 9455960.0, + 1737723.5 ], "modifiers": [ { @@ -40,26 +40,26 @@ }, { "data": [ - 3779.189453125, - 10422.9248046875, - 13446.275390625, - 13703.5810546875, - 13156.8056640625, - 14061.3984375, - 15074.5380859375, - 16509.814453125, - 18704.943359375, - 21263.9140625, - 24349.556640625, - 26540.6640625, - 28703.626953125, - 30171.06640625, - 29473.53125, - 25429.029296875, - 20325.15625, - 11826.0478515625, - 2355.962890625, - 36.1837272644043 + 8790.6337890625, + 16931.955078125, + 15191.12890625, + 13701.5712890625, + 12033.1005859375, + 11166.701171875, + 10740.537109375, + 10543.537109375, + 10356.587890625, + 10465.138671875, + 11052.119140625, + 11840.12109375, + 13172.8876953125, + 14955.935546875, + 17804.376953125, + 22258.958984375, + 28434.26171875, + 37878.1328125, + 46503.859375, + 15520.75 ], "modifiers": [ { @@ -98,26 +98,26 @@ "observations": [ { "data": [ - 28940420.0, - 64271060.0, - 62690540.0, - 53842952.0, - 46333416.0, - 39996672.0, - 35720268.0, - 32502120.0, - 30083302.0, - 27807322.0, - 25866256.0, - 24241674.0, - 22191964.0, - 19312234.0, - 16034794.0, - 11206264.0, - 6363600.0, - 2712453.5, - 344575.34375, - 39620.4609375 + 85195624.0, + 114523672.0, + 72788384.0, + 48457708.0, + 35174776.0, + 26339430.0, + 21335994.0, + 17652378.0, + 15120826.0, + 13477802.0, + 12245562.0, + 11408628.0, + 10828121.0, + 10518470.0, + 10709492.0, + 10797928.0, + 11245016.0, + 11498811.0, + 9455960.0, + 1737723.5 ], "name": "SR" } diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt index 98e88d97..25cdba37 100644 --- a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/haa_ma30/yields_per_bin_post-fit.txt @@ -1,7 +1,7 @@ -sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR - bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 --------- --------------------- --------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- --------------------- -------------------- ------------------- ---------------- -QCD 28940419.98 ± 1662.80 64271059.95 ± 3692.75 62690539.95 ± 3601.94 53842951.96 ± 3093.59 46333415.96 ± 2662.12 39996671.97 ± 2298.04 35720267.97 ± 2052.34 32502119.97 ± 1867.44 30083301.98 ± 1728.46 27807321.98 ± 1597.69 25866255.98 ± 1486.17 24241673.98 ± 1392.83 22191963.98 ± 1275.06 19312233.98 ± 1109.60 16034793.99 ± 921.29 11206263.99 ± 643.87 6363599.99 ± 365.63 2712453.50 ± 155.85 344575.34 ± 19.80 39620.46 ± 2.28 -haa_ma30 0.01 ± 2468.51 0.02 ± 6808.11 0.03 ± 8782.92 0.03 ± 8950.98 0.03 ± 8593.84 0.03 ± 9184.71 0.03 ± 9846.47 0.03 ± 10783.98 0.04 ± 12217.80 0.04 ± 13889.29 0.05 ± 15904.78 0.05 ± 17335.98 0.06 ± 18748.80 0.06 ± 19707.31 0.06 ± 19251.69 0.05 ± 16609.88 0.04 ± 13276.10 0.02 ± 7724.61 0.00 ± 1538.88 0.00 ± 23.63 -total 28940419.98 ± 3790.07 64271059.97 ± 9680.49 62690539.98 ± 11513.09 53842951.98 ± 11262.16 46333415.99 ± 10565.54 39996672.00 ± 10860.65 35720268.00 ± 11325.80 32502120.01 ± 12115.95 30083302.01 ± 13438.42 27807322.02 ± 15007.76 25866256.03 ± 16937.51 24241674.04 ± 18299.38 22191964.04 ± 19626.82 19312234.05 ± 20468.11 16034794.05 ± 19881.38 11206264.04 ± 17048.43 6363600.04 ± 13524.06 2712453.52 ± 7829.99 344575.35 ± 1552.23 39620.46 ± 25.22 -data 28940420.00 64271060.00 62690540.00 53842952.00 46333416.00 39996672.00 35720268.00 32502120.00 30083302.00 27807322.00 25866256.00 24241674.00 22191964.00 19312234.00 16034794.00 11206264.00 6363600.00 2712453.50 344575.34 39620.46 +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- --------------------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- +QCD 85195623.94 ± 4244.42 114523671.92 ± 5705.53 72788383.95 ± 3626.29 48457707.97 ± 2414.15 35174775.98 ± 1752.40 26339429.98 ± 1312.22 21335993.99 ± 1062.95 17652377.99 ± 879.44 15120825.99 ± 753.31 13477801.99 ± 671.46 12245561.99 ± 610.07 11408627.99 ± 568.37 10828120.99 ± 539.45 10518469.99 ± 524.03 10709491.99 ± 533.54 10797927.99 ± 537.95 11245015.99 ± 560.22 11498810.99 ± 572.87 9455959.99 ± 471.09 1737723.50 ± 86.57 +haa_ma30 0.01 ± 1666.12 0.02 ± 3209.18 0.02 ± 2879.23 0.02 ± 2596.91 0.01 ± 2280.68 0.01 ± 2116.47 0.01 ± 2035.69 0.01 ± 1998.36 0.01 ± 1962.92 0.01 ± 1983.50 0.01 ± 2094.75 0.01 ± 2244.10 0.01 ± 2496.71 0.02 ± 2834.66 0.02 ± 3374.53 0.03 ± 4218.82 0.03 ± 5389.25 0.04 ± 7179.19 0.05 ± 8814.05 0.02 ± 2941.71 +total 85195623.95 ± 5302.35 114523671.94 ± 7862.23 72788383.97 ± 5679.18 48457707.98 ± 4366.33 35174775.99 ± 3523.00 26339429.99 ± 3012.91 21335994.00 ± 2741.33 17652378.00 ± 2566.50 15120826.00 ± 2439.66 13477802.00 ± 2400.92 12245562.00 ± 2466.51 11408628.01 ± 2584.57 10828121.01 ± 2814.15 10518470.01 ± 3138.19 10709492.01 ± 3679.24 10797928.02 ± 4520.87 11245016.02 ± 5699.54 11498811.03 ± 7491.88 9455960.05 ± 9066.96 1737723.52 ± 2987.45 +data 85195624.00 114523672.00 72788384.00 48457708.00 35174776.00 26339430.00 21335994.00 17652378.00 15120826.00 13477802.00 12245562.00 11408628.00 10828121.00 10518470.00 10709492.00 10797928.00 11245016.00 11498811.00 9455960.00 1737723.50 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/ExpectedLimit.json index 59fa047d..24d010d4 100644 --- a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/ExpectedLimit.json +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.01/summary/ExpectedLimit.json @@ -1,9 +1,9 @@ { "haa_ma30": [ - 0.06800770120977409, - 0.09166076543547802, - 0.12736831979336222, - 0.17714926285573065, - 0.23810902380995763 + 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a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json @@ -5,19 +5,19 @@ "samples": [ { "data": [ - 242127024.0, - 81655488.0, - 44740028.0, - 29413304.0, - 21363558.0, - 16492836.0, - 13452322.0, - 11526040.0, + 242127728.0, + 81654368.0, + 44739052.0, + 29415406.0, + 21362156.0, + 16494237.0, + 13451621.0, + 11526741.0, 9947970.0, 9131243.0, - 8191459.5, - 7706741.0, - 7293601.5, + 8190058.0, + 7708142.5, + 7292901.0, 7190548.5, 7010675.0, 7164361.0, @@ -41,8 +41,8 @@ { "data": [ 22437.869140625, - 16077.623046875, - 13172.8876953125, + 16079.6337890625, + 13170.876953125, 11182.783203125, 9809.8115234375, 9146.4423828125, @@ -57,8 +57,8 @@ 13964.90625, 16831.4453125, 23030.87109375, - 33696.94140625, - 55531.703125, + 33694.9296875, + 55533.7109375, 40929.70703125 ], "modifiers": [ @@ -98,19 +98,19 @@ "observations": [ { "data": [ - 242127024.0, - 81655488.0, - 44740028.0, - 29413304.0, - 21363558.0, - 16492836.0, - 13452322.0, - 11526040.0, + 242127728.0, + 81654368.0, + 44739052.0, + 29415406.0, + 21362156.0, + 16494237.0, + 13451621.0, + 11526741.0, 9947970.0, 9131243.0, - 8191459.5, - 7706741.0, - 7293601.5, + 8190058.0, + 7708142.5, + 7292901.0, 7190548.5, 7010675.0, 7164361.0, diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt index 6b67dc34..d6883ae4 100644 --- a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt @@ -1,7 +1,7 @@ -sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR - bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 --------- ----------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- --------------------- -------------------- -QCD 242127023.96 ± 11137.38 81655487.99 ± 3756.00 44740027.99 ± 2057.96 29413303.99 ± 1352.96 21363558.00 ± 982.68 16492836.00 ± 758.64 13452322.00 ± 618.78 11526040.00 ± 530.18 9947970.00 ± 457.59 9131243.00 ± 420.02 8191459.50 ± 376.79 7706741.00 ± 354.50 7293601.50 ± 335.49 7190548.50 ± 330.75 7010675.00 ± 322.48 7164361.00 ± 329.55 7399880.50 ± 340.38 8064915.50 ± 370.97 7913866.00 ± 364.02 2722742.75 ± 125.24 -haa_ma30 0.02 ± 4470.37 0.01 ± 3203.20 0.01 ± 2624.48 0.01 ± 2227.98 0.01 ± 1954.44 0.01 ± 1822.28 0.01 ± 1679.70 0.01 ± 1670.49 0.01 ± 1612.01 0.01 ± 1628.03 0.01 ± 1759.00 0.01 ± 1834.69 0.01 ± 2085.00 0.01 ± 2375.37 0.01 ± 2782.27 0.01 ± 3353.38 0.02 ± 4588.51 0.03 ± 6713.55 0.04 ± 11063.76 0.03 ± 8154.56 -total 242127023.97 ± 13472.68 81655488.00 ± 5781.59 44740028.00 ± 3897.40 29413304.00 ± 3010.65 21363558.00 ± 2496.32 16492836.00 ± 2221.96 13452322.00 ± 1996.71 11526040.00 ± 1933.51 9947970.00 ± 1833.95 9131243.00 ± 1828.05 8191459.51 ± 1932.63 7706741.01 ± 1995.36 7293601.51 ± 2233.04 7190548.51 ± 2518.59 7010675.01 ± 2919.01 7164361.01 ± 3490.82 7399880.52 ± 4727.19 8064915.53 ± 6861.82 7913866.04 ± 11205.88 2722742.78 ± 8202.53 -data 242127024.00 81655488.00 44740028.00 29413304.00 21363558.00 16492836.00 13452322.00 11526040.00 9947970.00 9131243.00 8191459.50 7706741.00 7293601.50 7190548.50 7010675.00 7164361.00 7399880.50 8064915.50 7913866.00 2722742.75 +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ----------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- +QCD 242127727.95 ± 11197.22 81654367.98 ± 3776.11 44739051.99 ± 2068.96 29415405.99 ± 1360.32 21362156.00 ± 987.90 16494237.00 ± 762.78 13451621.00 ± 622.07 11526741.00 ± 533.06 9947970.00 ± 460.04 9131243.00 ± 422.28 8190058.00 ± 378.75 7708142.50 ± 356.46 7292901.00 ± 337.26 7190548.50 ± 332.53 7010675.00 ± 324.21 7164361.00 ± 331.32 7399880.50 ± 342.21 8064915.50 ± 372.96 7913866.00 ± 365.98 2722742.75 ± 125.91 +haa_ma30 0.00 ± 3903.10 0.00 ± 2797.08 0.00 ± 2291.09 0.00 ± 1945.26 0.00 ± 1706.43 0.00 ± 1591.04 0.00 ± 1466.55 0.00 ± 1458.51 0.00 ± 1407.46 0.00 ± 1421.44 0.00 ± 1535.79 0.00 ± 1601.88 0.00 ± 1820.43 0.00 ± 2073.94 0.00 ± 2429.22 0.00 ± 2927.85 0.00 ± 4006.25 0.00 ± 5861.28 0.00 ± 9660.17 0.00 ± 7119.78 +total 242127727.95 ± 10326.78 81654367.98 ± 3724.66 44739051.99 ± 2417.71 29415405.99 ± 1891.49 21362156.00 ± 1605.47 16494237.00 ± 1473.07 13451621.00 ± 1352.27 11526741.00 ± 1344.28 9947970.00 ± 1299.73 9131243.00 ± 1316.16 8190058.00 ± 1431.77 7708142.50 ± 1499.75 7292901.00 ± 1717.70 7190548.50 ± 1968.70 7010675.00 ± 2322.51 7164361.00 ± 2815.69 7399880.50 ± 3886.07 8064915.50 ± 5726.65 7913866.00 ± 9523.91 2722742.75 ± 7071.80 +data 242127728.00 81654368.00 44739052.00 29415406.00 21362156.00 16494237.00 13451621.00 11526741.00 9947970.00 9131243.00 8190058.00 7708142.50 7292901.00 7190548.50 7010675.00 7164361.00 7399880.50 8064915.50 7913866.00 2722742.75 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json index ca384716..b961d6ca 100644 --- a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json @@ -1,9 +1,9 @@ { "haa_ma30": [ - 0.028694651358945073, - 0.043694651358945125, - 0.05522758409661408, - 0.08126043689207779, - 0.10824315273970717 + 0.02869272453382334, + 0.04369272453382339, + 0.05522760981779619, + 0.08126030978662181, + 0.10824263830269239 ] } \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/roc_results.npz 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zr%!c+({>bL{v{%3ldzkD>Q!jWVl~okRGbS&z3{~JqF!Y-d^O9mQfI+MC~oXk^l3}x y{hIFBc>frKj$OI9>lwi>pDr%0x(5Qo2LAx~puyv_cnpa+1vWD>H8HaWMLPxVOMbQh diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json index bb00e121..f75b932d 100644 --- a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/workspace.json @@ -5,18 +5,18 @@ "samples": [ { "data": [ - 242127728.0, - 81654368.0, - 44739052.0, - 29415406.0, - 21362156.0, + 242126320.0, + 81655768.0, + 44739752.0, + 29414004.0, + 21362856.0, 16494237.0, 13451621.0, - 11526741.0, + 11526040.0, 9947970.0, - 9131243.0, - 8190058.0, - 7708142.5, + 9131943.0, + 8190896.5, + 7707304.0, 7292901.0, 7190548.5, 7010675.0, @@ -41,9 +41,9 @@ { "data": [ 22437.869140625, - 16079.6337890625, + 16077.623046875, 13170.876953125, - 11182.783203125, + 11184.79296875, 9809.8115234375, 9146.4423828125, 8430.80859375, @@ -57,8 +57,8 @@ 13964.90625, 16831.4453125, 23030.87109375, - 33694.9296875, - 55533.7109375, + 33698.94921875, + 55529.69140625, 40929.70703125 ], "modifiers": [ @@ -98,18 +98,18 @@ "observations": [ { "data": [ - 242127728.0, - 81654368.0, - 44739052.0, - 29415406.0, - 21362156.0, + 242126320.0, + 81655768.0, + 44739752.0, + 29414004.0, + 21362856.0, 16494237.0, 13451621.0, - 11526741.0, + 11526040.0, 9947970.0, - 9131243.0, - 8190058.0, - 7708142.5, + 9131943.0, + 8190896.5, + 7707304.0, 7292901.0, 7190548.5, 7010675.0, diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt index d6883ae4..bdc15957 100644 --- a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/haa_ma30/yields_per_bin_post-fit.txt @@ -1,7 +1,7 @@ -sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR - bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 --------- ----------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -QCD 242127727.95 ± 11197.22 81654367.98 ± 3776.11 44739051.99 ± 2068.96 29415405.99 ± 1360.32 21362156.00 ± 987.90 16494237.00 ± 762.78 13451621.00 ± 622.07 11526741.00 ± 533.06 9947970.00 ± 460.04 9131243.00 ± 422.28 8190058.00 ± 378.75 7708142.50 ± 356.46 7292901.00 ± 337.26 7190548.50 ± 332.53 7010675.00 ± 324.21 7164361.00 ± 331.32 7399880.50 ± 342.21 8064915.50 ± 372.96 7913866.00 ± 365.98 2722742.75 ± 125.91 -haa_ma30 0.00 ± 3903.10 0.00 ± 2797.08 0.00 ± 2291.09 0.00 ± 1945.26 0.00 ± 1706.43 0.00 ± 1591.04 0.00 ± 1466.55 0.00 ± 1458.51 0.00 ± 1407.46 0.00 ± 1421.44 0.00 ± 1535.79 0.00 ± 1601.88 0.00 ± 1820.43 0.00 ± 2073.94 0.00 ± 2429.22 0.00 ± 2927.85 0.00 ± 4006.25 0.00 ± 5861.28 0.00 ± 9660.17 0.00 ± 7119.78 -total 242127727.95 ± 10326.78 81654367.98 ± 3724.66 44739051.99 ± 2417.71 29415405.99 ± 1891.49 21362156.00 ± 1605.47 16494237.00 ± 1473.07 13451621.00 ± 1352.27 11526741.00 ± 1344.28 9947970.00 ± 1299.73 9131243.00 ± 1316.16 8190058.00 ± 1431.77 7708142.50 ± 1499.75 7292901.00 ± 1717.70 7190548.50 ± 1968.70 7010675.00 ± 2322.51 7164361.00 ± 2815.69 7399880.50 ± 3886.07 8064915.50 ± 5726.65 7913866.00 ± 9523.91 2722742.75 ± 7071.80 -data 242127728.00 81654368.00 44739052.00 29415406.00 21362156.00 16494237.00 13451621.00 11526741.00 9947970.00 9131243.00 8190058.00 7708142.50 7292901.00 7190548.50 7010675.00 7164361.00 7399880.50 8064915.50 7913866.00 2722742.75 +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ----------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- --------------------- -------------------- +QCD 242126319.90 ± 11164.82 81655767.97 ± 3765.27 44739751.98 ± 2063.02 29414003.99 ± 1356.33 21362855.99 ± 985.07 16494236.99 ± 760.57 13451620.99 ± 620.28 11526040.00 ± 531.48 9947970.00 ± 458.72 9131943.00 ± 421.09 8190896.50 ± 377.69 7707304.00 ± 355.40 7292901.00 ± 336.29 7190548.50 ± 331.57 7010675.00 ± 323.27 7164361.00 ± 330.36 7399880.50 ± 341.22 8064915.50 ± 371.89 7913866.00 ± 364.92 2722742.75 ± 125.55 +haa_ma30 0.01 ± 4545.99 0.00 ± 3257.38 0.00 ± 2668.46 0.00 ± 2266.08 0.00 ± 1987.50 0.00 ± 1853.10 0.00 ± 1708.11 0.00 ± 1698.74 0.00 ± 1639.28 0.00 ± 1655.57 0.00 ± 1788.75 0.00 ± 1865.72 0.00 ± 2120.27 0.00 ± 2415.55 0.00 ± 2829.34 0.00 ± 3410.11 0.01 ± 4666.13 0.01 ± 6827.52 0.01 ± 11250.50 0.01 ± 8292.49 +total 242126319.90 ± 13567.09 81655767.97 ± 5843.88 44739751.98 ± 3947.07 29414003.99 ± 3053.04 21362855.99 ± 2532.82 16494237.00 ± 2255.75 13451621.00 ± 2027.61 11526040.00 ± 1964.04 9947970.00 ± 1863.25 9131943.00 ± 1857.53 8190896.50 ± 1964.19 7707304.00 ± 2028.16 7292901.00 ± 2270.01 7190548.50 ± 2560.51 7010675.00 ± 2967.81 7164361.00 ± 3549.36 7399880.50 ± 4806.73 8064915.51 ± 6977.94 7913866.01 ± 11394.78 2722742.76 ± 8341.22 +data 242126320.00 81655768.00 44739752.00 29414004.00 21362856.00 16494237.00 13451621.00 11526040.00 9947970.00 9131943.00 8190896.50 7707304.00 7292901.00 7190548.50 7010675.00 7164361.00 7399880.50 8064915.50 7913866.00 2722742.75 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json index b961d6ca..3cc17138 100644 --- a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size0.03/summary/ExpectedLimit.json @@ -1,9 +1,9 @@ { "haa_ma30": [ - 0.02869272453382334, - 0.04369272453382339, - 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plot_styles/core/legend.py | 12 +++++++++++- plot_styles/core/theme.py | 3 +++ 4 files changed, 40 insertions(+), 15 deletions(-) diff --git a/paper_plot.py b/paper_plot.py index 9e4b9c2d..7b51947a 100644 --- a/paper_plot.py +++ b/paper_plot.py @@ -213,8 +213,8 @@ "pair_heads": ["Cls+Asn"], "legend": { "legends": ["dataset", "heads", "models"], - "fig_size": (6.5, 1.2), - "style": DEFAULT_LEGEND_STYLE, + "fig_size": (8.8, 1.2), + "style": PlotStyle(legend_size=13.5), }, "loss": { "fig_size": (4.5, 4.5), "grid": False, @@ -332,8 +332,9 @@ "y_ref": 6.4, "f_name": "ad_significance", "style": PlotStyle( - base_font_size=18.0, tick_label_size=17.0, legend_size=16.0, - cms_label_fontsize=20.0, cms_label_y_start=0.98, + base_font_size=18.0, tick_label_size=17.0, legend_size=14.5, + legend_y_start=1.0, legend_y_gap=0.05, + cms_label_fontsize=18.0, cms_label_y_start=0.975, full_axis=True ), "fig_size": (13, 6), @@ -605,8 +606,9 @@ "style": PlotStyle( base_font_size=18.0, tick_label_size=16.0, - cms_label_x_start=0.1, + cms_label_x_start=0.072, cms_label_y_start=0.995, + cms_label_ha="left", ), "ratios": [ # {"baseline": "XGBoost", "mode": "ratio", "ylabel": "/XGB", "reference_line": True}, @@ -626,12 +628,6 @@ "label": "Full", "color": MODEL_COLORS["evenet-pretrain_individual"], }, - { - "model": "evenet-ClsPretrain", - "type": "individual", - "label": "Cls(Sup)", - "color": MODEL_COLORS["evenet-ClsPretrain_individual"], - }, { "model": "evenet-pretrain", "type": "param", @@ -655,8 +651,9 @@ "figsize": (15, 8), "style": PlotStyle( base_font_size=16.0, tick_label_size=15.0, - cms_label_x_start=0.09, + cms_label_x_start=0.072, cms_label_y_start=0.99, + cms_label_ha="left", ), "hspace": 0.05, "height_ratios": { @@ -726,6 +723,17 @@ def _resolve_style(base: PlotStyle | None, override: PlotStyle | dict | None) -> title_size=override.get("title_size", base_style.title_size), figure_scale=override.get("figure_scale", base_style.figure_scale), object_scale=override.get("object_scale", base_style.object_scale), + nbins=override.get("nbins", base_style.nbins), + full_axis=override.get("full_axis", base_style.full_axis), + legend_anchor=override.get("legend_anchor", base_style.legend_anchor), + legend_loc=override.get("legend_loc", base_style.legend_loc), + legend_y_start=override.get("legend_y_start", base_style.legend_y_start), + legend_y_gap=override.get("legend_y_gap", base_style.legend_y_gap), + cms_label_fontsize=override.get("cms_label_fontsize", base_style.cms_label_fontsize), + cms_label_y_start=override.get("cms_label_y_start", base_style.cms_label_y_start), + cms_label_x_start=override.get("cms_label_x_start", base_style.cms_label_x_start), + cms_label_ha=override.get("cms_label_ha", base_style.cms_label_ha), + unified_y_pad=override.get("unified_y_pad", base_style.unified_y_pad), ) @@ -1768,6 +1776,7 @@ def plot_bsm_results_webpage( # Set to an empty list if heads are not applicable for BSM. "heads": ["Cls", "Cls+Asn"], "train_sizes": [10, 30, 100, 300], + "legend": DEFAULT_BSM_CONFIG.get("legend", {}), "systematics": DEFAULT_BSM_CONFIG.get("systematics", {}), } @@ -1786,9 +1795,10 @@ def plot_bsm_results_webpage( legends=["dataset", "heads", "models"], file_format=file_format, dpi=dpi, - style=style, + style=_resolve_style(style, BSM_CONFIG["legend"].get("style")), fig_scale=fig_scale, fig_aspect=fig_aspect, + **{k: v for k, v in BSM_CONFIG["legend"].items() if k not in {"legends", "style"}}, ) results = plot_bsm_results( diff --git a/plot_styles/ad_bar.py b/plot_styles/ad_bar.py index 30749198..2f974608 100644 --- a/plot_styles/ad_bar.py +++ b/plot_styles/ad_bar.py @@ -170,7 +170,9 @@ def plot_ad_sig_summary( legends=["calibration", "models"] if include_uncalibrated else ["models"], style=style, in_figure=True, - CMS_label="2016 CMS Open Data DoubleMuon" + CMS_label="2016 CMS Open Data DoubleMuon", + y_start=1.0, + y_gap=0.05, ) plt.tight_layout(rect=(0.0, 0.0, 1.0, 0.95)) diff --git a/plot_styles/core/legend.py b/plot_styles/core/legend.py index ee9b0554..9d6c9c1a 100644 --- a/plot_styles/core/legend.py +++ b/plot_styles/core/legend.py @@ -37,6 +37,11 @@ def plot_legend( ``"calibration"``, ``"dataset"``, ``"heads"``, ``"models"``, ``"ad_mass"``. """ + if style is not None and style.legend_y_start is not None: + y_start = style.legend_y_start + if style is not None and style.legend_y_gap is not None: + y_gap = style.legend_y_gap + y_start_origin: float = y_start if legends is None: legends = ["calibration", "dataset", "heads", "models"] @@ -57,6 +62,11 @@ def plot_legend( if style is not None and style.cms_label_x_start is not None else 0.05 ) + cms_label_ha = ( + style.cms_label_ha + if style is not None and style.cms_label_ha is not None + else "left" + ) cms_label_y_start = ( style.cms_label_y_start if style is not None and style.cms_label_y_start is not None @@ -210,7 +220,7 @@ def add_legend(handles, labels, ncol, fontsize=legend_fontsize): cms_label_y_start, CMS_label, transform=fig.transFigure, - ha="left", + ha=cms_label_ha, va="top", fontsize=cms_label_fontsize, fontweight="bold", diff --git a/plot_styles/core/theme.py b/plot_styles/core/theme.py index 17747c52..59547633 100644 --- a/plot_styles/core/theme.py +++ b/plot_styles/core/theme.py @@ -39,9 +39,12 @@ class PlotStyle: full_axis: bool = True legend_anchor: tuple[float, float] | None = None legend_loc: str | None = None + legend_y_start: float | None = None + legend_y_gap: float | None = None cms_label_fontsize: float | None = None cms_label_y_start: float | None = None cms_label_x_start: float | None = None + cms_label_ha: str | None = None unified_y_pad: float | None = None def _resolved_sizes(self) -> dict:

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"/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/haa_ma30" + InputPath: "/pscratch/sd/t/tihsu/database/exotic-higgs-decay-foundation-model-large-dataset-segmentation-pretrain-ab3/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/haa_ma30/analysis_ntuple.root:{SamplePath}_MVAscore30_{RegionPath}{VariationPath}" + VariationPath: "" + +Regions: + - Name: "SR" + RegionPath: "SR" + + +Samples: + - Name: "Pseudodata" + SamplePath: "QCD" + Data: True + DisableStaterror: True + + - Name: "QCD" + SamplePath: "QCD" + DisableStaterror: True + + - Name: "haa_ma30" + SamplePath: "haa_ma30" + DisableStaterror: True + +NormFactors: + - Name: "mu" + Samples: "haa_ma30" + Nominal: 0 + Bounds: [0, 1] + +Systematics: + - Name: "NormQCD" + Up: + Normalization: 0.3 + Down: + Normalization: -0.3 + Type: "Normalization" + Samples: "QCD" + diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/haa_ma30/workspace.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/haa_ma30/workspace.json new file mode 100644 index 00000000..0484776a --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/haa_ma30/workspace.json @@ -0,0 +1,126 @@ +{ + "channels": [ + { + "name": "SR", + "samples": [ + { + "data": [ + 167803424.0, + 98626160.0, + 63737364.0, + 44247328.0, + 32020802.0, + 23729482.0, + 18795516.0, + 15365718.0, + 12843837.0, + 11174391.0, + 9807739.0, + 8818145.0, + 7938659.0, + 7284937.5, + 6545964.5, + 5979836.0, + 5461267.0, + 4673441.0, + 3656574.0, + 1995602.875 + ], + "modifiers": [ + { + "data": { + "hi": 1.3, + "lo": 0.7 + }, + "name": "NormQCD", + "type": "normsys" + } + ], + "name": "QCD" + }, + { + "data": [ + 7373.43994140625, + 9411.7900390625, + 10231.955078125, + 9896.25, + 9646.984375, + 9158.50390625, + 8957.4833984375, + 8800.6875, + 8939.3916015625, + 9140.412109375, + 9679.1474609375, + 10609.8740234375, + 11522.5078125, + 13203.041015625, + 15064.486328125, + 18489.853515625, + 23479.14453125, + 30199.208984375, + 41225.1015625, + 74313.546875 + ], + "modifiers": [ + { + "data": null, + "name": "mu", + "type": "normfactor" + } + ], + "name": "haa_ma30" + } + ] + } + ], + "measurements": [ + { + "config": { + "parameters": [ + { + "bounds": [ + [ + 0, + 1 + ] + ], + "inits": [ + 0 + ], + "name": "mu" + } + ], + "poi": "mu" + }, + "name": "haa_Br" + } + ], + "observations": [ + { + "data": [ + 167803424.0, + 98626160.0, + 63737364.0, + 44247328.0, + 32020802.0, + 23729482.0, + 18795516.0, + 15365718.0, + 12843837.0, + 11174391.0, + 9807739.0, + 8818145.0, + 7938659.0, + 7284937.5, + 6545964.5, + 5979836.0, + 5461267.0, + 4673441.0, + 3656574.0, + 1995602.875 + ], + "name": "SR" + } + ], + "version": "1.0.0" +} \ No newline at end of file diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/haa_ma30/yields_per_bin_post-fit.txt b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/haa_ma30/yields_per_bin_post-fit.txt new file mode 100644 index 00000000..336d3e1c --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/haa_ma30/yields_per_bin_post-fit.txt @@ -0,0 +1,7 @@ +sample SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR SR + bin 1 bin 2 bin 3 bin 4 bin 5 bin 6 bin 7 bin 8 bin 9 bin 10 bin 11 bin 12 bin 13 bin 14 bin 15 bin 16 bin 17 bin 18 bin 19 bin 20 +-------- ---------------------- --------------------- --------------------- --------------------- --------------------- --------------------- -------------------- -------------------- -------------------- -------------------- ------------------- ------------------- ------------------- ------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- +QCD 167803423.97 ± 7365.82 98626159.98 ± 4329.25 63737363.99 ± 2797.79 44247327.99 ± 1942.26 32020801.99 ± 1405.57 23729482.00 ± 1041.62 18795516.00 ± 825.04 15365718.00 ± 674.49 12843837.00 ± 563.79 11174391.00 ± 490.51 9807739.00 ± 430.52 8818145.00 ± 387.08 7938659.00 ± 348.47 7284937.50 ± 319.78 6545964.50 ± 287.34 5979836.00 ± 262.49 5461267.00 ± 239.73 4673441.00 ± 205.14 3656574.00 ± 160.51 1995602.87 ± 87.60 +haa_ma30 0.00 ± 510.36 0.00 ± 651.44 0.00 ± 708.21 0.00 ± 684.98 0.00 ± 667.72 0.00 ± 633.91 0.00 ± 620.00 0.00 ± 609.15 0.00 ± 618.75 0.00 ± 632.66 0.00 ± 669.95 0.00 ± 734.37 0.00 ± 797.54 0.00 ± 913.86 0.00 ± 1042.70 0.00 ± 1279.79 0.00 ± 1625.12 0.00 ± 2090.26 0.00 ± 2853.42 0.01 ± 5143.66 +total 167803423.97 ± 7260.48 98626159.98 ± 4220.83 63737363.99 ± 2716.57 44247327.99 ± 1898.44 32020802.00 ± 1404.20 23729482.00 ± 1081.86 18795516.00 ± 905.53 15365718.00 ± 793.17 12843837.00 ± 730.45 11174391.00 ± 701.54 9807739.00 ± 704.25 8818145.00 ± 743.59 7938659.00 ± 790.15 7284937.50 ± 892.95 6545964.50 ± 1013.03 5979836.00 ± 1243.30 5461267.00 ± 1584.87 4673441.00 ± 2050.80 3656574.00 ± 2819.28 1995602.88 ± 5123.38 +data 167803424.00 98626160.00 63737364.00 44247328.00 32020802.00 23729482.00 18795516.00 15365718.00 12843837.00 11174391.00 9807739.00 8818145.00 7938659.00 7284937.50 6545964.50 5979836.00 5461267.00 4673441.00 3656574.00 1995602.88 diff --git a/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/summary/ExpectedLimit.json b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/summary/ExpectedLimit.json new file mode 100644 index 00000000..e5d6d325 --- /dev/null +++ b/data/BSM/fit/evenet-pretrain-ablation3-assignment-off-segmentation-on-dataset_size1.0/summary/ExpectedLimit.json @@ -0,0 +1,9 @@ +{ + "haa_ma30": [ + 0.020580422201769068, + 0.02558042220176908, + 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