Expand EIC commondata to account for different perturbative orders

nnpdf_data/nnpdf_data/filter_utils/eic_utils.py

@@ -96,6 +96,8 @@ def write_data(
     asym: bool = True,
     abserr: Optional[Union[np.ndarray, None]] = None,
     add_fluctuate: bool = False,
+    sys_error: float = 0.0,
+    suffix: str = "",
 ) -> None:
     """Write the input kinematics, central values, and uncertainties
     into the new commondata format.
@@ -122,7 +124,7 @@ def write_data(
     print(f"The dataset has {len(data_central)} datapoints!")
 
     data_central_yaml = {"data_central": data_central}
-    with open("data.yaml", "w") as file:
+    with open(f"data_{suffix}.yaml", "w") as file:
         yaml.dump(data_central_yaml, file, sort_keys=False)
 
     if asym:
@@ -184,15 +186,18 @@ def write_data(
 
         # -----------------------------------------------------------------
         # Prepare the uncertainty values
-        errors = [{"stat": float(d["abs"]), "sys": 0.0} for _, d in df.iterrows()]
+        errors = [
+            {"stat": float(d["abs"]), "sys": float(data_central[i] * sys_error)}
+            for i, d in df.iterrows()
+        ]
 
         error_definition = {
             "stat": {
                 "description": "statistical uncertainty",
                 "treatment": "ADD",
                 "type": "UNCORR",
             },
-            "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"},
+            "sys": {"description": "systematic uncertainty", "treatment": "MULT", "type": "CORR"},
         }
 
     # -----------------------------------------------------------------
@@ -202,5 +207,5 @@ def write_data(
         yaml.dump(kinematics_yaml, file, sort_keys=False)
 
     uncertainties_yaml = {"definitions": error_definition, "bins": errors}
-    with open("uncertainties.yaml", "w") as file:
+    with open(f"uncertainties_{suffix}.yaml", "w") as file:
         yaml.dump(uncertainties_yaml, file, sort_keys=False)

nnpdf_data/nnpdf_data/new_commondata/ATHENA_NC_105GEV_EP/data_nlo.yaml

@@ -0,0 +1,124 @@
+data_central:
+- -7.9686135798526e-05
+- 0.0002622778592100214
+- -8.971990952500228e-05
+- 0.0003628747566496608
+- 0.0003025455606930224
+- -0.0003289396500082594
+- 0.000527054559951973
+- 0.0004032644714491676
+- 0.0001481775475596897
+- -0.0006079219455117313
+- 0.0005024371133567035
+- 0.0005457329516728618
+- 0.0005443908463106457
+- 0.00017035475863076682
+- -0.0002337125541561955
+- 0.0005645489349221586
+- 0.0007706117390689029
+- 0.0006587939550546941
+- 0.0009382957243788438
+- 0.000777917208132874
+- 0.00037375785249127105
+- 0.00047748047883363243
+- 0.0007119676009007722
+- 0.0008295811417789234
+- 0.0011488113066331566
+- 0.001450630379123243
+- 0.002078282116525751
+- 0.0024206334590696587
+- 0.0004405019776883573
+- 0.0007483436903050735
+- 0.0009872885740138074
+- 0.0013416345834552875
+- 0.0018842729468733271
+- 0.00258061458881251
+- 0.0039818104246081626
+- 0.005626434699792646
+- 0.0006934233360681582
+- 0.001028315280783365
+- 0.0014186099044476248
+- 0.0019842314954966905
+- 0.002997442001906029
+- 0.004799903586210154
+- 0.007185279701466692
+- 0.011048600628194181
+- 0.0008483582626409018
+- 0.0012098791895980272
+- 0.0020981550383013287
+- 0.0032510779021936356
+- 0.004924952060087364
+- 0.007869355840293713
+- 0.012327664818173363
+- 0.019373305654178406
+- 0.0012702189970770893
+- 0.0019516512271589685
+- 0.0027882257686412757
+- 0.004709829515748181
+- 0.0076610106528119705
+- 0.011941775238752323
+- 0.020512539207820386
+- 0.033199757077112244
+- 0.001766225587548656
+- 0.0028700405543423996
+- 0.00445125142621223
+- 0.007328448152888959
+- 0.011373304782740777
+- 0.019174161857557808
+- 0.03192182372156644
+- 0.052150831686440184
+- 0.0024532942817132005
+- 0.004389477501758794
+- 0.006998345079620076
+- 0.01056874188430606
+- 0.018037201498317657
+- 0.028670268151369555
+- 0.04870711544113141
+- 0.0809062734710754
+- 0.003761905022154242
+- 0.00609560205469274
+- 0.009009697922423439
+- 0.0155883006163242
+- 0.025115802273797182
+- 0.04360557684501048
+- 0.07282022986865623
+- 0.1187394126377662
+- 0.005296962994242974
+- 0.008713152265362425
+- 0.01379190285650563
+- 0.02254310429766776
+- 0.03644366417781698
+- 0.061166719038238254
+- 0.1013487295607234
+- 0.1675171964965923
+- 0.007170480945043473
+- 0.01207701366471271
+- 0.018426746989812726
+- 0.030887562862464444
+- 0.04924067191448828
+- 0.0836229782621661
+- 0.13723561833633344
+- 0.22225297807177194
+- 0.010180052675848867
+- 0.01546611145021116
+- 0.02573869826452503
+- 0.04043385918178369
+- 0.06758788773895415
+- 0.10690652802285827
+- 0.1774920798074007
+- 0.2886214497436867
+- 0.012675193009394273
+- 0.018662707587756032
+- 0.03589600521832406
+- 0.05419357611943356
+- 0.07841029808872996
+- 0.13592881332923945
+- 0.21975087129836593
+- 0.34091679158712623
+- 0.008261810311290464
+- 0.030557722485239133
+- 0.03545078323896834
+- 0.07774683149865645
+- 0.11086575147231159
+- 0.16948280631982732
+- 0.24658998569172716