update the closure test docs

doc/sphinx/source/tutorials/closuretest.md

@@ -55,12 +55,7 @@ closuretest:
   filterseed  : 0   # Random seed to be used in filtering data partitions
   fakedata    : False
   fakepdf     : MMHT2014nnlo68cl
-  errorsize   : 1.0 # uncertainties rescaling
   fakenoise   : False
-  rancutprob  : 1.0 # Fraction of data to be included in the fit
-  rancutmethod: 0   # Method to select rancutprob data fraction
-  rancuttrnval: False # 0(1) to output training(valiation) chi2 in report
-  printpdf4gen: False # To print info on PDFs during minimization
 ```
 
 Setting ``fakedata`` to ``True`` will cause closure test pseudodata to be generated
@@ -80,21 +75,15 @@ closuretest:
   filterseed  : 0   # Random seed to be used in filtering data partitions
   fakedata    : True
   fakepdf     : MMHT2014nnlo68cl
-  errorsize   : 1.0 # uncertainties rescaling
   fakenoise   : True
-  rancutprob  : 1.0 # Fraction of data to be included in the fit
-  rancutmethod: 0   # Method to select rancutprob data fraction
-  rancuttrnval: False # 0(1) to output training(valiation) chi2 in report
-  printpdf4gen: False # To print info on PDFs during minimization
 ```
 Note that it is *critical* that two closure tests which are to be compared have
 the same ``filterseed``. They should also both have been run during a time where
 no major changes were made to data generation. This is because fits with
 different level 1 noise produce different closure test estimators. See for
 example a [report](https://vp.nnpdf.science/mbcTUd6-TQmQFvaGd37bkg==/)
 comparing two level 2 closure tests with identical settings apart from
-``filterseed``. Note that setting ``filterseed`` to 0 will use the default seed for
-the selected ``fitting::rngalgo``.
+``filterseed``.
 
 There are still some relevant settings to the closure test. For the above example
 we would choose that the t0 set was the same as the underlying law:

validphys2/src/validphys/closuretest/runcards/NNPDF40_closure_test.yml

@@ -92,16 +92,13 @@ datacuts:
 
 ############################################################
 theory:
-  theoryid: 53        # database id
+  theoryid: 700        # database id
 
 ############################################################
 trvlseed: 1727532335
 nnseed: 1737785873
 mcseed: 2123509817
 genrep: true          # true = generate MC replicas, false = use real data
-# Deprecated options still required by closure tests
-rngalg: 0
-seed: 4
 
 parameters: # This defines the parameter dictionary that is passed to the Model Trainer
   nodes_per_layer: [18, 24, 36, 8]
@@ -168,12 +165,7 @@ closuretest:
   filterseed: 3345348918 # Random seed to be used in filtering data partitions
   fakedata: true     # true = to use FAKEPDF to generate pseudo-data
   fakepdf: 201204-mw-001_closure_fakepdf      # Theory input for pseudo-data
-  errorsize: 1.0    # uncertainties rescaling
   fakenoise: true    # true = to add random fluctuations to pseudo-data
-  rancutprob: 1.0   # Fraction of data to be included in the fit
-  rancutmethod: 0   # Method to select rancutprob data fraction
-  rancuttrnval: false # 0(1) to output training(valiation) chi2 in report
-  printpdf4gen: false # To print info on PDFs during minimization
 
 ############################################################
 debug: false