reactivate use_t0_sampling

.github/workflows/fitbot.yml

@@ -10,7 +10,7 @@ on:
 env:
   N3FIT_MAXNREP: 20 # total number of replicas to fit
   POSTFIT_NREP: 16 # requested replicas for postfit
-  REFERENCE_SET: NNBOT-4083fbacb-2025-02-20 # reference set for exact results
+  REFERENCE_SET: NNBOT-5684b6fe5-2025-05-12 # reference set for exact results
   STABLE_REFERENCE_SET: NNBOT-c0f99b7b3-2024-02-28 # reference set for last tag
   PYTHONHASHSEED: "0"
 

doc/sphinx/source/n3fit/runcard_detailed.rst

@@ -58,6 +58,33 @@ to fix it such that it is the same for all replicas with ``same_trvl_per_replica
 
 .. _preprocessing-label:
 
+
+Monte Carlo replica data
+------------------------
+The uncertainties on the PDFs are determined trough a Monte Carlo sampling procedure
+where each pseudodata replica is generated by adding some noise to the central value
+of the data points. 
+In order to generate the pseudodata, the user can set the following parameter in the runcard:
+
+.. code-block:: yaml
+
+    genrep: true
+
+The noise is generated by sampling from a normal distribution
+that is centred around zero. There are two options for the covariance matrix
+of the noise: the experimental covariance matrix or the t0 covariance matrix (default).
+
+In order to not use the t0-covariance matrix in the pseudodata generation, it is enough 
+to set 
+
+.. code-block:: yaml
+
+    use_t0_sampling: false
+
+in the runcard.
+
+
+
 Preprocessing
 -------------
 The behaviour of the preprocessing in the ``n3fit`` code is controlled, as in the old ``nnfit`` code, through the ``fitting:basis`` parameter of the nnpdf runcard.

extra_tests/regression_fits/central_16.json

@@ -71,25 +71,23 @@
   ],
   "timing": {
     "walltime": {
-      "Total": 11.937033891677856,
+      "Total": 11.688510417938232,
       "start": 0.0,
-      "replica_set": 0.21915078163146973,
-      "replica_fitted": 11.936966180801392,
-      "replica_set_to_replica_fitted": 11.717815399169922
+      "replica_set": 0.2990105152130127,
+      "replica_fitted": 11.688410520553589,
+      "replica_set_to_replica_fitted": 11.389400005340576
     },
     "cputime": {
-      "Total": 13.590334369999997,
+      "Total": 13.442929807,
       "start": 0.0,
-      "replica_set": 0.2182931840000002,
-      "replica_fitted": 13.59026488,
-      "replica_set_to_replica_fitted": 13.371971696
+      "replica_set": 0.2861135499999996,
+      "replica_fitted": 13.442828878999999,
+      "replica_set_to_replica_fitted": 13.156715328999999
     }
   },
   "version": {
-    "keras": "3.7.0",
-    "tensorflow": "2.18.0, mkl=False",
     "numpy": "1.26.4",
-    "nnpdf": "4.0.9.post1787.dev0+07f3cbb3f",
-    "validphys": "4.0.9.post1787.dev0+07f3cbb3f"
+    "nnpdf": "4.0.10.post47.dev0+c3a29a9bf",
+    "validphys": "4.0.10.post47.dev0+c3a29a9bf"
   }
 }

extra_tests/regression_fits/diagonal_45.json

@@ -51,45 +51,43 @@
   ],
   "stop_epoch": 1100,
   "best_epoch": 1099,
-  "erf_tr": 3.7433674335479736,
-  "erf_vl": 3.0657362937927246,
-  "chi2": 2.1767046451568604,
+  "erf_tr": 3.585289716720581,
+  "erf_vl": 2.9731712341308594,
+  "chi2": 2.1915249824523926,
   "pos_state": "POS_VETO",
   "arc_lengths": [
-    1.3174412808078453,
-    1.507056700647889,
-    1.1761946212451913,
-    1.0013647595041133,
-    1.224693450344471
+    1.3177722493965613,
+    1.512841482093963,
+    1.1766475125696163,
+    1.001576902820413,
+    1.2186306501969704
   ],
   "integrability": [
-    0.0008957577374548997,
-    0.0008957577374534287,
-    4.806768413267992e-05,
-    0.46389435231685505,
-    0.007004016137214464
+    0.0008946541565823252,
+    0.0008946541565825195,
+    4.7493198848669316e-05,
+    0.46384941786527567,
+    0.007007003587203298
   ],
   "timing": {
     "walltime": {
-      "Total": 11.051729440689087,
+      "Total": 11.086242198944092,
       "start": 0.0,
-      "replica_set": 0.22888803482055664,
-      "replica_fitted": 11.051657915115356,
-      "replica_set_to_replica_fitted": 10.8227698802948
+      "replica_set": 0.2999849319458008,
+      "replica_fitted": 11.086170434951782,
+      "replica_set_to_replica_fitted": 10.786185503005981
     },
     "cputime": {
-      "Total": 12.532767175,
+      "Total": 12.684770879,
       "start": 0.0,
-      "replica_set": 0.22790395100000005,
-      "replica_fitted": 12.532694279000001,
-      "replica_set_to_replica_fitted": 12.304790328
+      "replica_set": 0.28631316500000015,
+      "replica_fitted": 12.684697672,
+      "replica_set_to_replica_fitted": 12.398384507
     }
   },
   "version": {
-    "keras": "3.7.0",
-    "tensorflow": "2.18.0, mkl=False",
     "numpy": "1.26.4",
-    "nnpdf": "4.0.9.post1787.dev0+07f3cbb3f",
-    "validphys": "4.0.9.post1787.dev0+07f3cbb3f"
+    "nnpdf": "4.0.10.post47.dev0+c3a29a9bf",
+    "validphys": "4.0.10.post47.dev0+c3a29a9bf"
   }
 }