up

Author: farakiko

ParT_Finetuned/v35_30/model.onnx

@@ -281,7 +281,7 @@
     "    \"2016\":    \"../eos/hww/Dec20_hww_2016\",\n",
     "    \"2016APV\": \"../eos/hww/Dec20_hww_2016APV\",    \n",
     "    \"2017\":    \"../eos/hww/Dec20_hww_2017\",\n",
-    "#     \"2017\":    \"../eos/hww/Jun5_hww_2017\",    \n",
+    "#     \"2017\":    \"../eos/hww/Jun5_hww_2017\",\n",
     "    \"2018\":    \"../eos/hww/Dec20_hww_2018\",    \n",
     "}"
    ]

binder/combine.ipynb

@@ -26,9 +26,6 @@
 pd.set_option("mode.chained_assignment", None)
 
 
-with open("./trg_eff_SF_ARC.pkl", "rb") as f:
-    TRIGGER_SF = pkl.load(f)
-
 THWW_SF = {
     "ggF": 0.948,
     "VBF": 0.984,
@@ -37,6 +34,9 @@
 ptbinning_trgSF = [2000, 200, 170, 150, 130, 110, 90, 70, 50, 30]
 etabinning_trgSF = [-2.5, -1.5, -0.5, 0.5, 1.5, 2.5]
 
+with open("./trg_eff_SF_ARC.pkl", "rb") as f:
+    TRIGGER_SF = pkl.load(f)
+
 
 def get_nominal(df, year, ch, sample_label, region, region_sel, xsecweight, is_data):
     """Compute the nominal event weight."""

binder/cutflows_Oct10.ipynb

@@ -4,4 +4,10 @@ We build stacked histograms after processing first the parquets into an `events_
 
 To make the `events_dict` object, run the command `python make_stacked_hists.py --make-events-dict` but make sure to first edit the `config_make_events_dict.yaml`.
 
-To plot the stacked histograms after building the `events_dict` object, run the command `python make_stacked_hists.py --plot-stacked-hists` but make sure to first edit the `config_plot_stacked_hists.yaml`.
+To plot the stacked histograms after building the `events_dict` object, run the command `python make_stacked_hists.py --plot-stacked-hists` but make sure to first edit the `config_plot_stacked_hists.yaml`.
+
+# Making cutflow tables
+
+To print LaTeX cutflow table, run `python make_cutflow_table.py --years 2017 --channels ele,mu --add-cuts` but make sure to first edit the `config_make_cutflow_table.yaml`.
+
+The option `--add-cuts` allows you to include additional cuts that you define in the config file.

binder/hists_plots.ipynb

@@ -1,8 +1,8 @@
 samples_dir:
-    "2018": ../eos/July18_hww_2018
-    "2017": ../eos/July18_hww_2017
-    "2016": ../eos/July18_hww_2016
-    "2016APV": ../eos/July18_hww_2016APV
+    "2018": ../eos/hww/Dec20_hww_2018
+    "2017": ../eos/hww/Dec20_hww_2017
+    "2016": ../eos/hww/Dec20_hww_2016
+    "2016APV": ../eos/hww/Dec20_hww_2016APV
 
 samples:
     - ggF
@@ -28,4 +28,4 @@ add_cuts:
 add_data: True
 add_sumgenweight: True
 
-THWW_path: ../../weaver-core-dev/experiments_finetuning/v35_30/model.onnx
+THWW_path: ../ParT_Finetuned/v35_30/model.onnx

combine/make_templates.py

@@ -1,8 +1,8 @@
 samples_dir:
-    "2018": ../eos/July18_hww_2018
-    "2017": ../eos/July18_hww_2017
-    "2016": ../eos/July18_hww_2016
-    "2016APV": ../eos/July18_hww_2016APV
+    "2018": ../eos/hww/Dec20_hww_2018
+    "2017": ../eos/hww/Dec20_hww_2017
+    "2016": ../eos/hww/Dec20_hww_2016
+    "2016APV": ../eos/hww/Dec20_hww_2016APV
 
 years:
     - "2018"
@@ -17,10 +17,10 @@ channels:
 presel:
     ele:
         msoftdrop: (fj_mass>40)
-        # THWW: (THWW>0.75)
+        THWW: (THWW>0.75)
     mu:
         msoftdrop: (fj_mass>40)
-        # THWW: (THWW>0.75)
+        THWW: (THWW>0.75)
 
 samples:
     - ggF
@@ -39,6 +39,6 @@ samples:
     - WJetsLNu
     - Data
 
-THWW_path: ../../weaver-core-dev/experiments_finetuning/v35_30/model.onnx
+THWW_path: ../ParT_Finetuned/v35_30/model.onnx
 
-outdir: "hists/v1/"
+outdir: "hists/v2/"