diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/artunc_2d.py b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/artunc_2d.py
new file mode 100644
index 0000000000..d03d639a6a
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/artunc_2d.py
@@ -0,0 +1,449 @@
+import yaml
+
+from nnpdf_data.filter_utils.utils import concat_matrices as cm
+from nnpdf_data.filter_utils.utils import covmat_to_artunc as cta
+from nnpdf_data.filter_utils.utils import matlist_to_matrix as mtm
+
+# d2Sig_dpTt_dyt
+
+#     y1   y2   y3
+# y1  652  653t 655t
+# y2  653  654  656t
+# y3  655  656  657
+
+hepdata_tables = "rawdata/Table652.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab652 = yaml.safe_load(file)
+mat652 = mtm(
+    5,
+    5,
+    [
+        tab652['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab652['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table653.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab653 = yaml.safe_load(file)
+mat653 = mtm(
+    4,
+    5,
+    [
+        tab653['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab653['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table654.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab654 = yaml.safe_load(file)
+mat654 = mtm(
+    4,
+    4,
+    [
+        tab654['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab654['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table655.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab655 = yaml.safe_load(file)
+mat655 = mtm(
+    4,
+    5,
+    [
+        tab655['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab655['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table656.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab656 = yaml.safe_load(file)
+mat656 = mtm(
+    4,
+    4,
+    [
+        tab656['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab656['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table657.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab657 = yaml.safe_load(file)
+mat657 = mtm(
+    4,
+    4,
+    [
+        tab657['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab657['dependent_variables'][0]['values']))
+    ],
+)
+
+d2Sig_dpTt_dyt_covmat = cm(
+    3, 3, [mat652, mat653.T, mat655.T, mat653, mat654, mat656.T, mat655, mat656, mat657]
+)
+d2Sig_dpTt_dyt_artunc = cta(13, d2Sig_dpTt_dyt_covmat)
+
+# d2Sig_dpTt_dyt_norm
+
+#     y1   y2   y3
+# y1  643  644t 646t
+# y2  644  645  647t
+# y3  646  647  648
+
+hepdata_tables = "rawdata/Table643.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab643 = yaml.safe_load(file)
+mat643 = mtm(
+    5,
+    5,
+    [
+        tab643['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab643['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table644.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab644 = yaml.safe_load(file)
+mat644 = mtm(
+    4,
+    5,
+    [
+        tab644['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab644['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table645.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab645 = yaml.safe_load(file)
+mat645 = mtm(
+    4,
+    4,
+    [
+        tab645['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab645['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table646.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab646 = yaml.safe_load(file)
+mat646 = mtm(
+    4,
+    5,
+    [
+        tab646['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab646['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table647.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab647 = yaml.safe_load(file)
+mat647 = mtm(
+    4,
+    4,
+    [
+        tab647['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab647['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table648.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab648 = yaml.safe_load(file)
+mat648 = mtm(
+    4,
+    4,
+    [
+        tab648['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab648['dependent_variables'][0]['values']))
+    ],
+)
+
+d2Sig_dpTt_dyt_norm_covmat = cm(
+    3, 3, [mat643, mat644.T, mat646.T, mat644, mat645, mat647.T, mat646, mat647, mat648]
+)
+d2Sig_dpTt_dyt_norm_artunc = cta(13, d2Sig_dpTt_dyt_norm_covmat, 1)
+
+# d2Sig_dmttBar_dpTt
+
+#     m1   m2   m3   m4
+# m1  704  705t 707t 710t
+# m2  705  706  708t 711t
+# m3  707  708  709  712t
+# m4  710  711  712  713
+
+hepdata_tables = "rawdata/Table704.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab704 = yaml.safe_load(file)
+mat704 = mtm(
+    3,
+    3,
+    [
+        tab704['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab704['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table705.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab705 = yaml.safe_load(file)
+mat705 = mtm(
+    4,
+    3,
+    [
+        tab705['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab705['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table706.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab706 = yaml.safe_load(file)
+mat706 = mtm(
+    4,
+    4,
+    [
+        tab706['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab706['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table707.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab707 = yaml.safe_load(file)
+mat707 = mtm(
+    5,
+    3,
+    [
+        tab707['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab707['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table708.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab708 = yaml.safe_load(file)
+mat708 = mtm(
+    5,
+    4,
+    [
+        tab708['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab708['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table709.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab709 = yaml.safe_load(file)
+mat709 = mtm(
+    5,
+    5,
+    [
+        tab709['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab709['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table710.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab710 = yaml.safe_load(file)
+mat710 = mtm(
+    3,
+    3,
+    [
+        tab710['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab710['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table711.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab711 = yaml.safe_load(file)
+mat711 = mtm(
+    3,
+    4,
+    [
+        tab711['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab711['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table712.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab712 = yaml.safe_load(file)
+mat712 = mtm(
+    3,
+    5,
+    [
+        tab712['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab712['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table713.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab713 = yaml.safe_load(file)
+mat713 = mtm(
+    3,
+    3,
+    [
+        tab713['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab713['dependent_variables'][0]['values']))
+    ],
+)
+
+d2Sig_dmttBar_dpTt_covmat = cm(
+    4,
+    4,
+    [
+        mat704,
+        mat705.T,
+        mat707.T,
+        mat710.T,
+        mat705,
+        mat706,
+        mat708.T,
+        mat711.T,
+        mat707,
+        mat708,
+        mat709,
+        mat712.T,
+        mat710,
+        mat711,
+        mat712,
+        mat713,
+    ],
+)
+d2Sig_dmttBar_dpTt_artunc = cta(15, d2Sig_dmttBar_dpTt_covmat)
+
+# d2Sig_dmttBar_dpTt_norm
+
+#     m1   m2   m3   m4
+# m1  690  691t 693t 696t
+# m2  691  692  694t 697t
+# m3  693  694  695  698t
+# m4  696  697  698  699
+
+hepdata_tables = "rawdata/Table690.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab690 = yaml.safe_load(file)
+mat690 = mtm(
+    3,
+    3,
+    [
+        tab690['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab690['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table691.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab691 = yaml.safe_load(file)
+mat691 = mtm(
+    4,
+    3,
+    [
+        tab691['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab691['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table692.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab692 = yaml.safe_load(file)
+mat692 = mtm(
+    4,
+    4,
+    [
+        tab692['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab692['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table693.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab693 = yaml.safe_load(file)
+mat693 = mtm(
+    5,
+    3,
+    [
+        tab693['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab693['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table694.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab694 = yaml.safe_load(file)
+mat694 = mtm(
+    5,
+    4,
+    [
+        tab694['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab694['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table695.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab695 = yaml.safe_load(file)
+mat695 = mtm(
+    5,
+    5,
+    [
+        tab695['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab695['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table696.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab696 = yaml.safe_load(file)
+mat696 = mtm(
+    3,
+    3,
+    [
+        tab696['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab696['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table697.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab697 = yaml.safe_load(file)
+mat697 = mtm(
+    3,
+    4,
+    [
+        tab697['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab697['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table698.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab698 = yaml.safe_load(file)
+mat698 = mtm(
+    3,
+    5,
+    [
+        tab698['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab698['dependent_variables'][0]['values']))
+    ],
+)
+hepdata_tables = "rawdata/Table699.yaml"
+with open(hepdata_tables, 'r') as file:
+    tab699 = yaml.safe_load(file)
+mat699 = mtm(
+    3,
+    3,
+    [
+        tab699['dependent_variables'][0]['values'][i]['value']
+        for i in range(len(tab699['dependent_variables'][0]['values']))
+    ],
+)
+
+d2Sig_dmttBar_dpTt_norm_covmat = cm(
+    4,
+    4,
+    [
+        mat690,
+        mat691.T,
+        mat693.T,
+        mat696.T,
+        mat691,
+        mat692,
+        mat694.T,
+        mat697.T,
+        mat693,
+        mat694,
+        mat695,
+        mat698.T,
+        mat696,
+        mat697,
+        mat698,
+        mat699,
+    ],
+)
+d2Sig_dmttBar_dpTt_norm_artunc = cta(15, d2Sig_dmttBar_dpTt_norm_covmat, 1)
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dmttBar_dpTt.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dmttBar_dpTt.yaml
new file mode 100644
index 0000000000..776a4c16b2
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dmttBar_dpTt.yaml
@@ -0,0 +1,16 @@
+data_central:
+- 1.64901800e-02
+- 1.27791200e-02
+- 1.37289900e-04
+- 2.92004300e-03
+- 5.73671800e-03
+- 3.60783800e-03
+- 5.97787300e-05
+- 5.11317900e-04
+- 9.38240300e-04
+- 7.68020700e-04
+- 4.59993300e-04
+- 2.40302900e-05
+- 5.14975200e-05
+- 5.25731200e-05
+- 1.11432400e-05
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dmttBar_dpTt_norm.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dmttBar_dpTt_norm.yaml
new file mode 100644
index 0000000000..11479401d4
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dmttBar_dpTt_norm.yaml
@@ -0,0 +1,16 @@
+data_central:
+- 2.01052900e-05
+- 1.55806600e-05
+- 1.67387700e-07
+- 3.56019900e-06
+- 6.99436900e-06
+- 4.39877900e-06
+- 7.28839200e-08
+- 6.23413200e-07
+- 1.14392900e-06
+- 9.36392500e-07
+- 5.60836900e-07
+- 2.92984000e-08
+- 6.27872300e-08
+- 6.40986300e-08
+- 1.35861600e-08
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dpTt_dyt.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dpTt_dyt.yaml
new file mode 100644
index 0000000000..0c3c85d9dc
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dpTt_dyt.yaml
@@ -0,0 +1,14 @@
+data_central:
+- 1.953647
+- 2.231688
+- 0.706868
+- 1.49554300e-01
+- 1.12103100e-02
+- 1.618835
+- 1.740661
+- 5.16009200e-01
+- 2.09588100e-02
+- 8.31100200e-01
+- 8.30891700e-01
+- 1.95404600e-01
+- 5.17468300e-03
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dpTt_dyt_norm.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dpTt_dyt_norm.yaml
new file mode 100644
index 0000000000..b687ebfccb
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/data_d2Sig_dpTt_dyt_norm.yaml
@@ -0,0 +1,14 @@
+data_central:
+- 2.44700400e-03
+- 2.79525800e-03
+- 8.85373900e-04
+- 1.87321400e-04
+- 1.40412500e-05
+- 2.02764000e-03
+- 2.18023100e-03
+- 6.46317400e-04
+- 2.62515500e-05
+- 1.04097900e-03
+- 1.04071700e-03
+- 2.44750400e-04
+- 6.48145000e-06
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py
index 4d89d98905..351b0b7778 100644
--- a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py
@@ -1,3 +1,9 @@
+from artunc_2d import (
+    d2Sig_dmttBar_dpTt_artunc,
+    d2Sig_dmttBar_dpTt_norm_artunc,
+    d2Sig_dpTt_dyt_artunc,
+    d2Sig_dpTt_dyt_norm_artunc,
+)
 from lumiless_covmat import llcm_mtt, llcm_ptt, llcm_yt, llcm_ytt
 import yaml
 
@@ -21,6 +27,10 @@ def processData():
     ndata_dSig_dyt_norm = metadata['implemented_observables'][5]['ndata']
     ndata_dSig_dyttBar = metadata['implemented_observables'][6]['ndata']
     ndata_dSig_dyttBar_norm = metadata['implemented_observables'][7]['ndata']
+    ndata_d2Sig_dpTt_dyt = metadata['implemented_observables'][8]['ndata']
+    ndata_d2Sig_dpTt_dyt_norm = metadata['implemented_observables'][9]['ndata']
+    ndata_d2Sig_dmttBar_dpTt = metadata['implemented_observables'][10]['ndata']
+    ndata_d2Sig_dmttBar_dpTt_norm = metadata['implemented_observables'][11]['ndata']
 
     data_central_dSig_dmttBar = []
     kin_dSig_dmttBar = []
@@ -50,6 +60,18 @@ def processData():
     data_central_dSig_dyttBar_norm = []
     kin_dSig_dyttBar_norm = []
     error_dSig_dyttBar_norm = []
+    data_central_d2Sig_dpTt_dyt = []
+    kin_d2Sig_dpTt_dyt = []
+    error_d2Sig_dpTt_dyt = []
+    data_central_d2Sig_dpTt_dyt_norm = []
+    kin_d2Sig_dpTt_dyt_norm = []
+    error_d2Sig_dpTt_dyt_norm = []
+    data_central_d2Sig_dmttBar_dpTt = []
+    kin_d2Sig_dmttBar_dpTt = []
+    error_d2Sig_dmttBar_dpTt = []
+    data_central_d2Sig_dmttBar_dpTt_norm = []
+    kin_d2Sig_dmttBar_dpTt_norm = []
+    error_d2Sig_dmttBar_dpTt_norm = []
 
     covMatArray_dSig_dmttBar = []
     covMatArray_dSig_dmttBar_norm = []
@@ -673,5 +695,435 @@ def processData():
     with open('uncertainties_dSig_dyttBar_norm.yaml', 'w') as file:
         yaml.dump(uncertainties_dSig_dyttBar_norm_yaml, file, sort_keys=False)
 
+    # d2Sig_dpTt_dyt data
+    hepdata_tables = "rawdata/Table649.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input1 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table650.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input2 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table651.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input3 = yaml.safe_load(file)
+
+    sqrts = float(input1['dependent_variables'][0]['qualifiers'][0]['value'])
+    m_t2 = 29756.25
+    values1 = input1['dependent_variables'][0]['values']
+    values2 = input2['dependent_variables'][0]['values']
+    values3 = input3['dependent_variables'][0]['values']
+
+    for i in range(len(values1)):
+        pT_t_min = input1['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input1['independent_variables'][0]['values'][i]['high']
+        y_t_min = 0.0
+        y_t_max = 0.75
+        data_central_value = values1[i]['value']
+        data_central_d2Sig_dpTt_dyt.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dpTt_dyt):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_artunc[i][j])
+        error_d2Sig_dpTt_dyt.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'y_t': {'min': y_t_min, 'mid': None, 'max': y_t_max},
+        }
+        kin_d2Sig_dpTt_dyt.append(kin_value)
+    for i in range(len(values2)):
+        pT_t_min = input2['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input2['independent_variables'][0]['values'][i]['high']
+        y_t_min = 0.75
+        y_t_max = 1.5
+        data_central_value = values2[i]['value']
+        data_central_d2Sig_dpTt_dyt.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dpTt_dyt):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_artunc[i + 5][j])
+        error_d2Sig_dpTt_dyt.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'y_t': {'min': y_t_min, 'mid': None, 'max': y_t_max},
+        }
+        kin_d2Sig_dpTt_dyt.append(kin_value)
+    for i in range(len(values3)):
+        pT_t_min = input3['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input3['independent_variables'][0]['values'][i]['high']
+        y_t_min = 1.5
+        y_t_max = 2.5
+        data_central_value = values3[i]['value']
+        data_central_d2Sig_dpTt_dyt.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dpTt_dyt):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_artunc[i + 9][j])
+        error_d2Sig_dpTt_dyt.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'y_t': {'min': y_t_min, 'mid': None, 'max': y_t_max},
+        }
+        kin_d2Sig_dpTt_dyt.append(kin_value)
+
+    error_definition_d2Sig_dpTt_dyt = {}
+    for i in range(ndata_d2Sig_dpTt_dyt):
+        error_definition_d2Sig_dpTt_dyt['ArtUnc_' + str(i + 1)] = {
+            'definition': 'artificial uncertainty ' + str(i + 1),
+            'treatment': 'ADD',
+            'type': 'CORR',
+        }
+
+    data_central_d2Sig_dpTt_dyt_yaml = {'data_central': data_central_d2Sig_dpTt_dyt}
+    kinematics_d2Sig_dpTt_dyt_yaml = {'bins': kin_d2Sig_dpTt_dyt}
+    uncertainties_d2Sig_dpTt_dyt_yaml = {
+        'definitions': error_definition_d2Sig_dpTt_dyt,
+        'bins': error_d2Sig_dpTt_dyt,
+    }
+
+    with open('data_d2Sig_dpTt_dyt.yaml', 'w') as file:
+        yaml.dump(data_central_d2Sig_dpTt_dyt_yaml, file, sort_keys=False)
+
+    with open('kinematics_d2Sig_dpTt_dyt.yaml', 'w') as file:
+        yaml.dump(kinematics_d2Sig_dpTt_dyt_yaml, file, sort_keys=False)
+
+    with open('uncertainties_d2Sig_dpTt_dyt.yaml', 'w') as file:
+        yaml.dump(uncertainties_d2Sig_dpTt_dyt_yaml, file, sort_keys=False)
+
+    # d2Sig_dpTt_dyt_norm data
+    hepdata_tables = "rawdata/Table640.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input1 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table641.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input2 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table642.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input3 = yaml.safe_load(file)
+
+    sqrts = float(input1['dependent_variables'][0]['qualifiers'][0]['value'])
+    m_t2 = 29756.25
+    values1 = input1['dependent_variables'][0]['values']
+    values2 = input2['dependent_variables'][0]['values']
+    values3 = input3['dependent_variables'][0]['values']
+
+    for i in range(len(values1)):
+        pT_t_min = input1['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input1['independent_variables'][0]['values'][i]['high']
+        y_t_min = 0.0
+        y_t_max = 0.75
+        data_central_value = values1[i]['value']
+        data_central_d2Sig_dpTt_dyt_norm.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dpTt_dyt_norm):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_norm_artunc[i][j])
+        error_d2Sig_dpTt_dyt_norm.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'y_t': {'min': y_t_min, 'mid': None, 'max': y_t_max},
+        }
+        kin_d2Sig_dpTt_dyt_norm.append(kin_value)
+    for i in range(len(values2)):
+        pT_t_min = input2['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input2['independent_variables'][0]['values'][i]['high']
+        y_t_min = 0.75
+        y_t_max = 1.5
+        data_central_value = values2[i]['value']
+        data_central_d2Sig_dpTt_dyt_norm.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dpTt_dyt_norm):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_norm_artunc[i + 5][j])
+        error_d2Sig_dpTt_dyt_norm.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'y_t': {'min': y_t_min, 'mid': None, 'max': y_t_max},
+        }
+        kin_d2Sig_dpTt_dyt_norm.append(kin_value)
+    for i in range(len(values3)):
+        pT_t_min = input3['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input3['independent_variables'][0]['values'][i]['high']
+        y_t_min = 1.5
+        y_t_max = 2.5
+        data_central_value = values3[i]['value']
+        data_central_d2Sig_dpTt_dyt_norm.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dpTt_dyt_norm):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_norm_artunc[i + 9][j])
+        error_d2Sig_dpTt_dyt_norm.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'y_t': {'min': y_t_min, 'mid': None, 'max': y_t_max},
+        }
+        kin_d2Sig_dpTt_dyt_norm.append(kin_value)
+
+    error_definition_d2Sig_dpTt_dyt_norm = {}
+    for i in range(ndata_d2Sig_dpTt_dyt_norm):
+        error_definition_d2Sig_dpTt_dyt_norm['ArtUnc_' + str(i + 1)] = {
+            'definition': 'artificial uncertainty ' + str(i + 1),
+            'treatment': 'ADD',
+            'type': 'CORR',
+        }
+
+    data_central_d2Sig_dpTt_dyt_norm_yaml = {'data_central': data_central_d2Sig_dpTt_dyt_norm}
+    kinematics_d2Sig_dpTt_dyt_norm_yaml = {'bins': kin_d2Sig_dpTt_dyt_norm}
+    uncertainties_d2Sig_dpTt_dyt_norm_yaml = {
+        'definitions': error_definition_d2Sig_dpTt_dyt_norm,
+        'bins': error_d2Sig_dpTt_dyt_norm,
+    }
+
+    with open('data_d2Sig_dpTt_dyt_norm.yaml', 'w') as file:
+        yaml.dump(data_central_d2Sig_dpTt_dyt_norm_yaml, file, sort_keys=False)
+
+    with open('kinematics_d2Sig_dpTt_dyt_norm.yaml', 'w') as file:
+        yaml.dump(kinematics_d2Sig_dpTt_dyt_norm_yaml, file, sort_keys=False)
+
+    with open('uncertainties_d2Sig_dpTt_dyt_norm.yaml', 'w') as file:
+        yaml.dump(uncertainties_d2Sig_dpTt_dyt_norm_yaml, file, sort_keys=False)
+
+    # d2Sig_dmttBar_dpTt data
+    hepdata_tables = "rawdata/Table700.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input1 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table701.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input2 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table702.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input3 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table703.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input4 = yaml.safe_load(file)
+
+    sqrts = float(input1['dependent_variables'][0]['qualifiers'][0]['value'])
+    m_t2 = 29756.25
+    values1 = input1['dependent_variables'][0]['values']
+    values2 = input2['dependent_variables'][0]['values']
+    values3 = input3['dependent_variables'][0]['values']
+    values4 = input4['dependent_variables'][0]['values']
+
+    for i in range(len(values1)):
+        pT_t_min = input1['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input1['independent_variables'][0]['values'][i]['high']
+        m_ttBar_min = 325
+        m_ttBar_max = 500
+        data_central_value = values1[i]['value']
+        data_central_d2Sig_dmttBar_dpTt.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dmttBar_dpTt):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_artunc[i][j])
+        error_d2Sig_dmttBar_dpTt.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'm_ttBar': {'min': m_ttBar_min, 'mid': None, 'max': m_ttBar_max},
+        }
+        kin_d2Sig_dmttBar_dpTt.append(kin_value)
+    for i in range(len(values2)):
+        pT_t_min = input2['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input2['independent_variables'][0]['values'][i]['high']
+        m_ttBar_min = 500
+        m_ttBar_max = 700
+        data_central_value = values2[i]['value']
+        data_central_d2Sig_dmttBar_dpTt.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dmttBar_dpTt):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_artunc[i + 3][j])
+        error_d2Sig_dmttBar_dpTt.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'm_ttBar': {'min': m_ttBar_min, 'mid': None, 'max': m_ttBar_max},
+        }
+        kin_d2Sig_dmttBar_dpTt.append(kin_value)
+    for i in range(len(values3)):
+        pT_t_min = input3['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input3['independent_variables'][0]['values'][i]['high']
+        m_ttBar_min = 700
+        m_ttBar_max = 1000
+        data_central_value = values3[i]['value']
+        data_central_d2Sig_dmttBar_dpTt.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dmttBar_dpTt):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_artunc[i + 7][j])
+        error_d2Sig_dmttBar_dpTt.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'm_ttBar': {'min': m_ttBar_min, 'mid': None, 'max': m_ttBar_max},
+        }
+        kin_d2Sig_dmttBar_dpTt.append(kin_value)
+    for i in range(len(values4)):
+        pT_t_min = input4['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input4['independent_variables'][0]['values'][i]['high']
+        m_ttBar_min = 1000
+        m_ttBar_max = 2000
+        data_central_value = values4[i]['value']
+        data_central_d2Sig_dmttBar_dpTt.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dmttBar_dpTt):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_artunc[i + 12][j])
+        error_d2Sig_dmttBar_dpTt.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'm_ttBar': {'min': m_ttBar_min, 'mid': None, 'max': m_ttBar_max},
+        }
+        kin_d2Sig_dmttBar_dpTt.append(kin_value)
+
+    error_definition_d2Sig_dmttBar_dpTt = {}
+    for i in range(ndata_d2Sig_dmttBar_dpTt):
+        error_definition_d2Sig_dmttBar_dpTt['ArtUnc_' + str(i + 1)] = {
+            'definition': 'artificial uncertainty ' + str(i + 1),
+            'treatment': 'ADD',
+            'type': 'CORR',
+        }
+
+    data_central_d2Sig_dmttBar_dpTt_yaml = {'data_central': data_central_d2Sig_dmttBar_dpTt}
+    kinematics_d2Sig_dmttBar_dpTt_yaml = {'bins': kin_d2Sig_dmttBar_dpTt}
+    uncertainties_d2Sig_dmttBar_dpTt_yaml = {
+        'definitions': error_definition_d2Sig_dmttBar_dpTt,
+        'bins': error_d2Sig_dmttBar_dpTt,
+    }
+
+    with open('data_d2Sig_dmttBar_dpTt.yaml', 'w') as file:
+        yaml.dump(data_central_d2Sig_dmttBar_dpTt_yaml, file, sort_keys=False)
+
+    with open('kinematics_d2Sig_dmttBar_dpTt.yaml', 'w') as file:
+        yaml.dump(kinematics_d2Sig_dmttBar_dpTt_yaml, file, sort_keys=False)
+
+    with open('uncertainties_d2Sig_dmttBar_dpTt.yaml', 'w') as file:
+        yaml.dump(uncertainties_d2Sig_dmttBar_dpTt_yaml, file, sort_keys=False)
+
+    # d2Sig_dmttBar_dpTt_norm data
+    hepdata_tables = "rawdata/Table686.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input1 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table687.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input2 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table688.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input3 = yaml.safe_load(file)
+    hepdata_tables = "rawdata/Table689.yaml"
+    with open(hepdata_tables, 'r') as file:
+        input4 = yaml.safe_load(file)
+
+    sqrts = float(input1['dependent_variables'][0]['qualifiers'][0]['value'])
+    m_t2 = 29756.25
+    values1 = input1['dependent_variables'][0]['values']
+    values2 = input2['dependent_variables'][0]['values']
+    values3 = input3['dependent_variables'][0]['values']
+    values4 = input4['dependent_variables'][0]['values']
+
+    for i in range(len(values1)):
+        pT_t_min = input1['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input1['independent_variables'][0]['values'][i]['high']
+        m_ttBar_min = 325
+        m_ttBar_max = 500
+        data_central_value = values1[i]['value']
+        data_central_d2Sig_dmttBar_dpTt_norm.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dmttBar_dpTt_norm):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_norm_artunc[i][j])
+        error_d2Sig_dmttBar_dpTt_norm.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'm_ttBar': {'min': m_ttBar_min, 'mid': None, 'max': m_ttBar_max},
+        }
+        kin_d2Sig_dmttBar_dpTt_norm.append(kin_value)
+    for i in range(len(values2)):
+        pT_t_min = input2['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input2['independent_variables'][0]['values'][i]['high']
+        m_ttBar_min = 500
+        m_ttBar_max = 700
+        data_central_value = values2[i]['value']
+        data_central_d2Sig_dmttBar_dpTt_norm.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dmttBar_dpTt_norm):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_norm_artunc[i + 3][j])
+        error_d2Sig_dmttBar_dpTt_norm.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'm_ttBar': {'min': m_ttBar_min, 'mid': None, 'max': m_ttBar_max},
+        }
+        kin_d2Sig_dmttBar_dpTt_norm.append(kin_value)
+    for i in range(len(values3)):
+        pT_t_min = input3['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input3['independent_variables'][0]['values'][i]['high']
+        m_ttBar_min = 700
+        m_ttBar_max = 1000
+        data_central_value = values3[i]['value']
+        data_central_d2Sig_dmttBar_dpTt_norm.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dmttBar_dpTt_norm):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_norm_artunc[i + 7][j])
+        error_d2Sig_dmttBar_dpTt_norm.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'm_ttBar': {'min': m_ttBar_min, 'mid': None, 'max': m_ttBar_max},
+        }
+        kin_d2Sig_dmttBar_dpTt_norm.append(kin_value)
+    for i in range(len(values4)):
+        pT_t_min = input4['independent_variables'][0]['values'][i]['low']
+        pT_t_max = input4['independent_variables'][0]['values'][i]['high']
+        m_ttBar_min = 1000
+        m_ttBar_max = 2000
+        data_central_value = values4[i]['value']
+        data_central_d2Sig_dmttBar_dpTt_norm.append(data_central_value)
+        error_value = {}
+        for j in range(ndata_d2Sig_dmttBar_dpTt_norm):
+            error_value['ArtUnc_' + str(j + 1)] = float(d2Sig_dmttBar_dpTt_norm_artunc[i + 12][j])
+        error_d2Sig_dmttBar_dpTt_norm.append(error_value)
+        kin_value = {
+            # 'sqrts': {'min': None, 'mid': sqrts, 'max': None},
+            'm_t2': {'min': None, 'mid': m_t2, 'max': None},
+            'pT_t': {'min': pT_t_min, 'mid': None, 'max': pT_t_max},
+            'm_ttBar': {'min': m_ttBar_min, 'mid': None, 'max': m_ttBar_max},
+        }
+        kin_d2Sig_dmttBar_dpTt_norm.append(kin_value)
+
+    error_definition_d2Sig_dmttBar_dpTt_norm = {}
+    for i in range(ndata_d2Sig_dmttBar_dpTt_norm):
+        error_definition_d2Sig_dmttBar_dpTt_norm['ArtUnc_' + str(i + 1)] = {
+            'definition': 'artificial uncertainty ' + str(i + 1),
+            'treatment': 'ADD',
+            'type': 'CORR',
+        }
+
+    data_central_d2Sig_dmttBar_dpTt_norm_yaml = {
+        'data_central': data_central_d2Sig_dmttBar_dpTt_norm
+    }
+    kinematics_d2Sig_dmttBar_dpTt_norm_yaml = {'bins': kin_d2Sig_dmttBar_dpTt_norm}
+    uncertainties_d2Sig_dmttBar_dpTt_norm_yaml = {
+        'definitions': error_definition_d2Sig_dmttBar_dpTt_norm,
+        'bins': error_d2Sig_dmttBar_dpTt_norm,
+    }
+
+    with open('data_d2Sig_dmttBar_dpTt_norm.yaml', 'w') as file:
+        yaml.dump(data_central_d2Sig_dmttBar_dpTt_norm_yaml, file, sort_keys=False)
+
+    with open('kinematics_d2Sig_dmttBar_dpTt_norm.yaml', 'w') as file:
+        yaml.dump(kinematics_d2Sig_dmttBar_dpTt_norm_yaml, file, sort_keys=False)
+
+    with open('uncertainties_d2Sig_dmttBar_dpTt_norm.yaml', 'w') as file:
+        yaml.dump(uncertainties_d2Sig_dmttBar_dpTt_norm_yaml, file, sort_keys=False)
+
 
 processData()
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dmttBar_dpTt.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dmttBar_dpTt.yaml
new file mode 100644
index 0000000000..d7348732ed
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dmttBar_dpTt.yaml
@@ -0,0 +1,181 @@
+bins:
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 90.0
+  m_ttBar:
+    min: 325
+    mid: null
+    max: 500
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 90.0
+    mid: null
+    max: 180.0
+  m_ttBar:
+    min: 325
+    mid: null
+    max: 500
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 180.0
+    mid: null
+    max: 1000.0
+  m_ttBar:
+    min: 325
+    mid: null
+    max: 500
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 80.0
+  m_ttBar:
+    min: 500
+    mid: null
+    max: 700
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 80.0
+    mid: null
+    max: 170.0
+  m_ttBar:
+    min: 500
+    mid: null
+    max: 700
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 170.0
+    mid: null
+    max: 280.0
+  m_ttBar:
+    min: 500
+    mid: null
+    max: 700
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 280.0
+    mid: null
+    max: 1000.0
+  m_ttBar:
+    min: 500
+    mid: null
+    max: 700
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 80.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 80.0
+    mid: null
+    max: 170.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 170.0
+    mid: null
+    max: 270.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 270.0
+    mid: null
+    max: 370.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 370.0
+    mid: null
+    max: 1000.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 180.0
+  m_ttBar:
+    min: 1000
+    mid: null
+    max: 2000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 180.0
+    mid: null
+    max: 280.0
+  m_ttBar:
+    min: 1000
+    mid: null
+    max: 2000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 280.0
+    mid: null
+    max: 1000.0
+  m_ttBar:
+    min: 1000
+    mid: null
+    max: 2000
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dmttBar_dpTt_norm.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dmttBar_dpTt_norm.yaml
new file mode 100644
index 0000000000..d7348732ed
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dmttBar_dpTt_norm.yaml
@@ -0,0 +1,181 @@
+bins:
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 90.0
+  m_ttBar:
+    min: 325
+    mid: null
+    max: 500
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 90.0
+    mid: null
+    max: 180.0
+  m_ttBar:
+    min: 325
+    mid: null
+    max: 500
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 180.0
+    mid: null
+    max: 1000.0
+  m_ttBar:
+    min: 325
+    mid: null
+    max: 500
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 80.0
+  m_ttBar:
+    min: 500
+    mid: null
+    max: 700
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 80.0
+    mid: null
+    max: 170.0
+  m_ttBar:
+    min: 500
+    mid: null
+    max: 700
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 170.0
+    mid: null
+    max: 280.0
+  m_ttBar:
+    min: 500
+    mid: null
+    max: 700
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 280.0
+    mid: null
+    max: 1000.0
+  m_ttBar:
+    min: 500
+    mid: null
+    max: 700
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 80.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 80.0
+    mid: null
+    max: 170.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 170.0
+    mid: null
+    max: 270.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 270.0
+    mid: null
+    max: 370.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 370.0
+    mid: null
+    max: 1000.0
+  m_ttBar:
+    min: 700
+    mid: null
+    max: 1000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 180.0
+  m_ttBar:
+    min: 1000
+    mid: null
+    max: 2000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 180.0
+    mid: null
+    max: 280.0
+  m_ttBar:
+    min: 1000
+    mid: null
+    max: 2000
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 280.0
+    mid: null
+    max: 1000.0
+  m_ttBar:
+    min: 1000
+    mid: null
+    max: 2000
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dpTt_dyt.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dpTt_dyt.yaml
new file mode 100644
index 0000000000..9f44ca498d
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dpTt_dyt.yaml
@@ -0,0 +1,157 @@
+bins:
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 85.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 85.0
+    mid: null
+    max: 175.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 175.0
+    mid: null
+    max: 285.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 285.0
+    mid: null
+    max: 390.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 390.0
+    mid: null
+    max: 1000.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 85.0
+  y_t:
+    min: 0.75
+    mid: null
+    max: 1.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 85.0
+    mid: null
+    max: 175.0
+  y_t:
+    min: 0.75
+    mid: null
+    max: 1.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 175.0
+    mid: null
+    max: 285.0
+  y_t:
+    min: 0.75
+    mid: null
+    max: 1.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 285.0
+    mid: null
+    max: 1000.0
+  y_t:
+    min: 0.75
+    mid: null
+    max: 1.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 85.0
+  y_t:
+    min: 1.5
+    mid: null
+    max: 2.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 85.0
+    mid: null
+    max: 175.0
+  y_t:
+    min: 1.5
+    mid: null
+    max: 2.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 175.0
+    mid: null
+    max: 300.0
+  y_t:
+    min: 1.5
+    mid: null
+    max: 2.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 300.0
+    mid: null
+    max: 1000.0
+  y_t:
+    min: 1.5
+    mid: null
+    max: 2.5
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dpTt_dyt_norm.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dpTt_dyt_norm.yaml
new file mode 100644
index 0000000000..9f44ca498d
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/kinematics_d2Sig_dpTt_dyt_norm.yaml
@@ -0,0 +1,157 @@
+bins:
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 85.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 85.0
+    mid: null
+    max: 175.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 175.0
+    mid: null
+    max: 285.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 285.0
+    mid: null
+    max: 390.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 390.0
+    mid: null
+    max: 1000.0
+  y_t:
+    min: 0.0
+    mid: null
+    max: 0.75
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 85.0
+  y_t:
+    min: 0.75
+    mid: null
+    max: 1.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 85.0
+    mid: null
+    max: 175.0
+  y_t:
+    min: 0.75
+    mid: null
+    max: 1.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 175.0
+    mid: null
+    max: 285.0
+  y_t:
+    min: 0.75
+    mid: null
+    max: 1.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 285.0
+    mid: null
+    max: 1000.0
+  y_t:
+    min: 0.75
+    mid: null
+    max: 1.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 0.0
+    mid: null
+    max: 85.0
+  y_t:
+    min: 1.5
+    mid: null
+    max: 2.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 85.0
+    mid: null
+    max: 175.0
+  y_t:
+    min: 1.5
+    mid: null
+    max: 2.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 175.0
+    mid: null
+    max: 300.0
+  y_t:
+    min: 1.5
+    mid: null
+    max: 2.5
+- m_t2:
+    min: null
+    mid: 29756.25
+    max: null
+  pT_t:
+    min: 300.0
+    mid: null
+    max: 1000.0
+  y_t:
+    min: 1.5
+    mid: null
+    max: 2.5
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/metadata.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/metadata.yaml
index 23d3889ddb..38fa3b0d85 100644
--- a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/metadata.yaml
@@ -12,8 +12,8 @@ hepdata:
   url: "https://www.hepdata.net/record/ins1750330"
   version: 1
 
-version: 2
-version_comment: "Add uncertainty variant without luminosity uncertainty"
+version: 3
+version_comment: "Implement double differential distributions; PTT-YT and PTT-YT-NORM have bugged covariance matrices that should be updated if and when fixed by the experimentalists"
 
 implemented_observables:
 
@@ -244,3 +244,121 @@ implemented_observables:
         - - ATLAS_TTBAR_13TEV_LJ_DIF_YTTBAR
         - - ATLAS_TTBAR_13TEV_LJ_DIF_YTTBAR-INTEGRATED
       operation: 'ratio'
+
+  - observable: {description: "double differential cross section w.r.t. transverse momentum and absolute rapidity of top", label: '$\frac{d^2\sigma}{dpT_td|y_t|}$', units: '$\frac{pb}{GeV}$'}
+    observable_name: PTT-YT
+    process_type: HQP_PTQ
+    ndata: 13
+    tables: [649, 650, 651]
+    kinematics:
+      variables:
+        pT_t: {description: "transverse momentum of t", label: "$pT_t$", units: "$GeV$"}
+        y_t: {description: "absolute rapidity of t", label: '$|y_{t}|$', units: ""}
+        m_t2: {description: "top mass squared", label: '$m_{t}^2$', units: '$GeV^2$'}
+        # sqrts: {description: "center of mass energy", label: '$\sqrt{s}$', units: 'GeV'}
+      file: kinematics_d2Sig_dpTt_dyt.yaml
+    data_central: data_d2Sig_dpTt_dyt.yaml
+    data_uncertainties:
+      - uncertainties_d2Sig_dpTt_dyt.yaml
+    kinematic_coverage: [pT_t, y_t, m_t2]
+    plotting:
+      dataset_label: 'ATLAS 13 TeV top quark pair in l+j channel: $\frac{d^2\sigma}{dpT_td|y_t|}$'
+      kinematics_override: identity
+      x_scale: log
+      plot_x: pT_t
+      y_label: '$\frac{d^2\sigma}{dpT_td|y_t|}$ ($pb/GeV$)'
+      figure_by:
+        - y_t
+    theory:
+      FK_tables:
+        - - ATLAS_TTBAR_13TEV_LJ_DIF_PTT-YT
+      operation: 'null'
+
+  - observable: {description: "normalized double differential cross section w.r.t. transverse momentum and absolute rapidity of top", label: '$\frac{1}{\sigma}\frac{d^2\sigma}{dpT_td|y_t|}$', units: '$\frac{1}{GeV}$'}
+    observable_name: PTT-YT-NORM
+    process_type: HQP_PTQ
+    ndata: 13
+    tables: [640, 641, 642]
+    kinematics:
+      variables:
+        pT_t: {description: "transverse momentum of t", label: "$pT_t$", units: "$GeV$"}
+        y_t: {description: "absolute rapidity of t", label: '$|y_{t}|$', units: ""}
+        m_t2: {description: "top mass squared", label: '$m_{t}^2$', units: '$GeV^2$'}
+        # sqrts: {description: "center of mass energy", label: '$\sqrt{s}$', units: 'GeV'}
+      file: kinematics_d2Sig_dpTt_dyt_norm.yaml
+    data_central: data_d2Sig_dpTt_dyt_norm.yaml
+    data_uncertainties:
+      - uncertainties_d2Sig_dpTt_dyt_norm.yaml
+    kinematic_coverage: [pT_t, y_t, m_t2]
+    plotting:
+      dataset_label: 'ATLAS 13 TeV top quark pair in l+j channel: $\frac{1}{\sigma}\frac{d^2\sigma}{dpT_td|y_t|}$'
+      kinematics_override: identity
+      x_scale: log
+      plot_x: pT_t
+      y_label: '$\frac{1}{\sigma}\frac{d^2\sigma}{dpT_td|y_t|}$ ($1/GeV$)'
+      figure_by:
+        - y_t
+    theory:
+      FK_tables:
+        - - ATLAS_TTBAR_13TEV_LJ_DIF_PTT-YT
+        - - ATLAS_TTBAR_13TEV_LJ_DIF_PTT-YT-INTEGRATED
+      operation: 'ratio'
+
+  - observable: {description: "double differential cross section w.r.t. transverse momentum of top and invariant mass of top pair", label: '$\frac{d^2\sigma}{dm_{t\bar{t}}dpT_t}$', units: '$\frac{pb}{GeV^2}$'}
+    observable_name: MTTBAR-PTT
+    process_type: HQP_PTQ
+    ndata: 15
+    tables: [700, 701, 702, 703]
+    kinematics:
+      variables:
+        m_ttBar: {description: "invariant mass of ttBar", label: '$m_{t\bar{t}}$', units: "$GeV$"}
+        pT_t: {description: "transverse momentum of t", label: "$pT_t$", units: "$GeV$"}
+        m_t2: {description: "top mass squared", label: '$m_{t}^2$', units: '$GeV^2$'}
+        # sqrts: {description: "center of mass energy", label: '$\sqrt{s}$', units: 'GeV'}
+      file: kinematics_d2Sig_dmttBar_dpTt.yaml
+    data_central: data_d2Sig_dmttBar_dpTt.yaml
+    data_uncertainties:
+      - uncertainties_d2Sig_dmttBar_dpTt.yaml
+    kinematic_coverage: [pT_t, m_ttBar, m_t2]
+    plotting:
+      dataset_label: 'ATLAS 13 TeV top quark pair in l+j channel: $\frac{d^2\sigma}{dm_{t\bar{t}}dpT_t}$'
+      kinematics_override: identity
+      x_scale: log
+      plot_x: pT_t
+      y_label: '$\frac{d^2\sigma}{dm_{t\bar{t}}dpT_t}$ ($\frac{pb}{GeV^2}$)'
+      figure_by:
+        - m_ttBar
+    theory:
+      FK_tables:
+        - - ATLAS_TTBAR_13TEV_LJ_DIF_MTTBAR-PTT
+      operation: 'null'
+
+  - observable: {description: "normalized double differential cross section w.r.t. transverse momentum of top and invariant mass of top pair", label: '$\frac{1}{\sigma}\frac{d^2\sigma}{dm_{t\bar{t}}dpT_t}$', units: '$\frac{1}{GeV^2}$'}
+    observable_name: MTTBAR-PTT-NORM
+    process_type: HQP_PTQ
+    ndata: 15
+    tables: [686, 687, 688, 689]
+    kinematics:
+      variables:
+        m_ttBar: {description: "invariant mass of ttBar", label: '$m_{t\bar{t}}$', units: "$GeV$"}
+        pT_t: {description: "transverse momentum of t", label: "$pT_t$", units: "$GeV$"}
+        m_t2: {description: "top mass squared", label: '$m_{t}^2$', units: '$GeV^2$'}
+        # sqrts: {description: "center of mass energy", label: '$\sqrt{s}$', units: 'GeV'}
+      file: kinematics_d2Sig_dmttBar_dpTt_norm.yaml
+    data_central: data_d2Sig_dmttBar_dpTt_norm.yaml
+    data_uncertainties:
+      - uncertainties_d2Sig_dmttBar_dpTt_norm.yaml
+    kinematic_coverage: [pT_t, m_ttBar, m_t2]
+    plotting:
+      dataset_label: 'ATLAS 13 TeV top quark pair in l+j channel: $\frac{1}{\sigma}\frac{d^2\sigma}{dm_{t\bar{t}}dpT_t}$'
+      kinematics_override: identity
+      x_scale: log
+      plot_x: pT_t
+      y_label: '$\frac{1}{\sigma}\frac{d^2\sigma}{dm_{t\bar{t}}dpT_t}$ ($\frac{1}{GeV^2}$)'
+      figure_by:
+        - m_ttBar
+    theory:
+      FK_tables:
+        - - ATLAS_TTBAR_13TEV_LJ_DIF_MTTBAR-PTT
+        - - ATLAS_TTBAR_13TEV_LJ_DIF_MTTBAR-PTT-INTEGRATED
+      operation: 'ratio'
diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dmttBar_dpTt.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dmttBar_dpTt.yaml
new file mode 100644
index 0000000000..4743988697
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dmttBar_dpTt.yaml
@@ -0,0 +1,287 @@
+definitions:
+  ArtUnc_1:
+    definition: artificial uncertainty 1
+    treatment: ADD
+    type: CORR
+  ArtUnc_2:
+    definition: artificial uncertainty 2
+    treatment: ADD
+    type: CORR
+  ArtUnc_3:
+    definition: artificial uncertainty 3
+    treatment: ADD
+    type: CORR
+  ArtUnc_4:
+    definition: artificial uncertainty 4
+    treatment: ADD
+    type: CORR
+  ArtUnc_5:
+    definition: artificial uncertainty 5
+    treatment: ADD
+    type: CORR
+  ArtUnc_6:
+    definition: artificial uncertainty 6
+    treatment: ADD
+    type: CORR
+  ArtUnc_7:
+    definition: artificial uncertainty 7
+    treatment: ADD
+    type: CORR
+  ArtUnc_8:
+    definition: artificial uncertainty 8
+    treatment: ADD
+    type: CORR
+  ArtUnc_9:
+    definition: artificial uncertainty 9
+    treatment: ADD
+    type: CORR
+  ArtUnc_10:
+    definition: artificial uncertainty 10
+    treatment: ADD
+    type: CORR
+  ArtUnc_11:
+    definition: artificial uncertainty 11
+    treatment: ADD
+    type: CORR
+  ArtUnc_12:
+    definition: artificial uncertainty 12
+    treatment: ADD
+    type: CORR
+  ArtUnc_13:
+    definition: artificial uncertainty 13
+    treatment: ADD
+    type: CORR
+  ArtUnc_14:
+    definition: artificial uncertainty 14
+    treatment: ADD
+    type: CORR
+  ArtUnc_15:
+    definition: artificial uncertainty 15
+    treatment: ADD
+    type: CORR
+bins:
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+  ArtUnc_2: 2.74220057e-04
+  ArtUnc_3: -1.55664500e-05
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diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dmttBar_dpTt_norm.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dmttBar_dpTt_norm.yaml
new file mode 100644
index 0000000000..fbaf12cdfe
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dmttBar_dpTt_norm.yaml
@@ -0,0 +1,287 @@
+definitions:
+  ArtUnc_1:
+    definition: artificial uncertainty 1
+    treatment: ADD
+    type: CORR
+  ArtUnc_2:
+    definition: artificial uncertainty 2
+    treatment: ADD
+    type: CORR
+  ArtUnc_3:
+    definition: artificial uncertainty 3
+    treatment: ADD
+    type: CORR
+  ArtUnc_4:
+    definition: artificial uncertainty 4
+    treatment: ADD
+    type: CORR
+  ArtUnc_5:
+    definition: artificial uncertainty 5
+    treatment: ADD
+    type: CORR
+  ArtUnc_6:
+    definition: artificial uncertainty 6
+    treatment: ADD
+    type: CORR
+  ArtUnc_7:
+    definition: artificial uncertainty 7
+    treatment: ADD
+    type: CORR
+  ArtUnc_8:
+    definition: artificial uncertainty 8
+    treatment: ADD
+    type: CORR
+  ArtUnc_9:
+    definition: artificial uncertainty 9
+    treatment: ADD
+    type: CORR
+  ArtUnc_10:
+    definition: artificial uncertainty 10
+    treatment: ADD
+    type: CORR
+  ArtUnc_11:
+    definition: artificial uncertainty 11
+    treatment: ADD
+    type: CORR
+  ArtUnc_12:
+    definition: artificial uncertainty 12
+    treatment: ADD
+    type: CORR
+  ArtUnc_13:
+    definition: artificial uncertainty 13
+    treatment: ADD
+    type: CORR
+  ArtUnc_14:
+    definition: artificial uncertainty 14
+    treatment: ADD
+    type: CORR
+  ArtUnc_15:
+    definition: artificial uncertainty 15
+    treatment: ADD
+    type: CORR
+bins:
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diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dpTt_dyt.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dpTt_dyt.yaml
new file mode 100644
index 0000000000..5f913a36b0
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dpTt_dyt.yaml
@@ -0,0 +1,223 @@
+definitions:
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+    treatment: ADD
+    type: CORR
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+    definition: artificial uncertainty 2
+    treatment: ADD
+    type: CORR
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+    definition: artificial uncertainty 3
+    treatment: ADD
+    type: CORR
+  ArtUnc_4:
+    definition: artificial uncertainty 4
+    treatment: ADD
+    type: CORR
+  ArtUnc_5:
+    definition: artificial uncertainty 5
+    treatment: ADD
+    type: CORR
+  ArtUnc_6:
+    definition: artificial uncertainty 6
+    treatment: ADD
+    type: CORR
+  ArtUnc_7:
+    definition: artificial uncertainty 7
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+    type: CORR
+  ArtUnc_8:
+    definition: artificial uncertainty 8
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+    type: CORR
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+    definition: artificial uncertainty 9
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+    type: CORR
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+    definition: artificial uncertainty 10
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+    type: CORR
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+    definition: artificial uncertainty 11
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+    type: CORR
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+    definition: artificial uncertainty 12
+    treatment: ADD
+    type: CORR
+  ArtUnc_13:
+    definition: artificial uncertainty 13
+    treatment: ADD
+    type: CORR
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diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dpTt_dyt_norm.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dpTt_dyt_norm.yaml
new file mode 100644
index 0000000000..3c44747063
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_TTBAR_13TEV_LJ_DIF/uncertainties_d2Sig_dpTt_dyt_norm.yaml
@@ -0,0 +1,223 @@
+definitions:
+  ArtUnc_1:
+    definition: artificial uncertainty 1
+    treatment: ADD
+    type: CORR
+  ArtUnc_2:
+    definition: artificial uncertainty 2
+    treatment: ADD
+    type: CORR
+  ArtUnc_3:
+    definition: artificial uncertainty 3
+    treatment: ADD
+    type: CORR
+  ArtUnc_4:
+    definition: artificial uncertainty 4
+    treatment: ADD
+    type: CORR
+  ArtUnc_5:
+    definition: artificial uncertainty 5
+    treatment: ADD
+    type: CORR
+  ArtUnc_6:
+    definition: artificial uncertainty 6
+    treatment: ADD
+    type: CORR
+  ArtUnc_7:
+    definition: artificial uncertainty 7
+    treatment: ADD
+    type: CORR
+  ArtUnc_8:
+    definition: artificial uncertainty 8
+    treatment: ADD
+    type: CORR
+  ArtUnc_9:
+    definition: artificial uncertainty 9
+    treatment: ADD
+    type: CORR
+  ArtUnc_10:
+    definition: artificial uncertainty 10
+    treatment: ADD
+    type: CORR
+  ArtUnc_11:
+    definition: artificial uncertainty 11
+    treatment: ADD
+    type: CORR
+  ArtUnc_12:
+    definition: artificial uncertainty 12
+    treatment: ADD
+    type: CORR
+  ArtUnc_13:
+    definition: artificial uncertainty 13
+    treatment: ADD
+    type: CORR
+bins:
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+  ArtUnc_9: 2.23902101e-10
+  ArtUnc_10: 1.66685532e-11
+  ArtUnc_11: 5.18787262e-12
+  ArtUnc_12: 6.26705190e-11
+  ArtUnc_13: -1.96837503e-09
+- ArtUnc_1: 3.93571424e-08
+  ArtUnc_2: 5.50521472e-08
+  ArtUnc_3: -1.56414165e-08
+  ArtUnc_4: -7.25227836e-08
+  ArtUnc_5: -5.54816502e-08
+  ArtUnc_6: -4.15897124e-10
+  ArtUnc_7: 3.86165938e-09
+  ArtUnc_8: -1.21712928e-10
+  ArtUnc_9: 5.04109080e-10
+  ArtUnc_10: -5.52932955e-12
+  ArtUnc_11: -2.45081193e-13
+  ArtUnc_12: -4.77401687e-13
+  ArtUnc_13: -1.88847350e-11
+- ArtUnc_1: 1.74520890e-07
+  ArtUnc_2: -1.51457471e-07
+  ArtUnc_3: -4.46570690e-08
+  ArtUnc_4: -8.18163403e-08
+  ArtUnc_5: 3.27197048e-08
+  ArtUnc_6: -6.46202487e-09
+  ArtUnc_7: -1.32370426e-09
+  ArtUnc_8: -9.13725246e-10
+  ArtUnc_9: 4.52611733e-11
+  ArtUnc_10: -1.06866885e-11
+  ArtUnc_11: 2.21261785e-13
+  ArtUnc_12: -2.76248405e-12
+  ArtUnc_13: -3.19175922e-12
+- ArtUnc_1: 1.48852258e-07
+  ArtUnc_2: -2.12212452e-07
+  ArtUnc_3: -7.21415018e-08
+  ArtUnc_4: 4.73217554e-08
+  ArtUnc_5: -2.74936903e-08
+  ArtUnc_6: 2.47850041e-09
+  ArtUnc_7: -9.94814106e-10
+  ArtUnc_8: 5.12329245e-09
+  ArtUnc_9: 9.20034721e-10
+  ArtUnc_10: 1.64715547e-11
+  ArtUnc_11: 6.39483875e-13
+  ArtUnc_12: 5.98447988e-13
+  ArtUnc_13: 6.17463861e-11
+- ArtUnc_1: 1.52344216e-11
+  ArtUnc_2: -1.69036279e-09
+  ArtUnc_3: -1.43887657e-09
+  ArtUnc_4: 2.02796805e-09
+  ArtUnc_5: -1.83464441e-10
+  ArtUnc_6: -2.54771077e-10
+  ArtUnc_7: -2.29499456e-10
+  ArtUnc_8: 8.34626173e-11
+  ArtUnc_9: 5.56191426e-10
+  ArtUnc_10: 3.58414717e-10
+  ArtUnc_11: 1.35228578e-11
+  ArtUnc_12: -7.46248508e-10
+  ArtUnc_13: -1.00678059e-09
+- ArtUnc_1: 1.05073465e-08
+  ArtUnc_2: 1.11387193e-08
+  ArtUnc_3: -7.00621742e-09
+  ArtUnc_4: -9.73308153e-09
+  ArtUnc_5: -6.97529641e-09
+  ArtUnc_6: 1.58587479e-08
+  ArtUnc_7: -2.31893808e-08
+  ArtUnc_8: -5.25819175e-09
+  ArtUnc_9: -7.29492157e-10
+  ArtUnc_10: 2.55398794e-10
+  ArtUnc_11: 3.27769364e-13
+  ArtUnc_12: -1.51106151e-12
+  ArtUnc_13: 2.30282464e-11
+- ArtUnc_1: 3.76907241e-09
+  ArtUnc_2: 1.89104117e-09
+  ArtUnc_3: -1.58079883e-08
+  ArtUnc_4: -1.24030070e-08
+  ArtUnc_5: 1.12004577e-08
+  ArtUnc_6: 3.65142251e-08
+  ArtUnc_7: 1.00786665e-08
+  ArtUnc_8: 1.06840712e-09
+  ArtUnc_9: 1.21068768e-09
+  ArtUnc_10: 9.54479917e-11
+  ArtUnc_11: -2.57338921e-13
+  ArtUnc_12: 7.43406308e-13
+  ArtUnc_13: -2.62305477e-12
+- ArtUnc_1: 1.91754511e-08
+  ArtUnc_2: -3.50789700e-08
+  ArtUnc_3: -1.57618555e-08
+  ArtUnc_4: 9.96401733e-09
+  ArtUnc_5: -4.79520863e-09
+  ArtUnc_6: 1.00041098e-09
+  ArtUnc_7: 5.22955365e-09
+  ArtUnc_8: -1.02781086e-08
+  ArtUnc_9: -1.29223586e-08
+  ArtUnc_10: 2.64162040e-10
+  ArtUnc_11: 2.76339725e-13
+  ArtUnc_12: -3.50497944e-12
+  ArtUnc_13: -9.19114127e-11
+- ArtUnc_1: 2.29742735e-08
+  ArtUnc_2: -2.12621803e-08
+  ArtUnc_3: -2.08698696e-08
+  ArtUnc_4: 1.64608072e-08
+  ArtUnc_5: -2.84922598e-09
+  ArtUnc_6: -2.53692037e-09
+  ArtUnc_7: 4.33600332e-09
+  ArtUnc_8: -1.69555122e-08
+  ArtUnc_9: 8.39669276e-09
+  ArtUnc_10: -1.43802400e-10
+  ArtUnc_11: -1.13945276e-12
+  ArtUnc_12: 1.29344747e-11
+  ArtUnc_13: -4.27392222e-12
+- ArtUnc_1: 5.07102329e-10
+  ArtUnc_2: -7.27703631e-10
+  ArtUnc_3: -7.22864150e-10
+  ArtUnc_4: 8.64087965e-10
+  ArtUnc_5: 6.67043347e-12
+  ArtUnc_6: -1.62473615e-10
+  ArtUnc_7: -2.29245672e-10
+  ArtUnc_8: 2.07961230e-10
+  ArtUnc_9: 2.41456177e-10
+  ArtUnc_10: 2.46545267e-10
+  ArtUnc_11: 4.77039088e-11
+  ArtUnc_12: 1.09042949e-09
+  ArtUnc_13: -6.12452859e-10
+- ArtUnc_1: 6.99328519e-11
+  ArtUnc_2: -9.54750240e-11
+  ArtUnc_3: -1.19343697e-09
+  ArtUnc_4: -3.11338626e-10
+  ArtUnc_5: -2.36970559e-10
+  ArtUnc_6: 1.82186793e-09
+  ArtUnc_7: -1.05612471e-09
+  ArtUnc_8: -1.55664038e-10
+  ArtUnc_9: -8.73653422e-10
+  ArtUnc_10: -3.94779421e-09
+  ArtUnc_11: -4.33706103e-12
+  ArtUnc_12: -2.64527063e-11
+  ArtUnc_13: -3.68842914e-10
diff --git a/validphys2/src/validphys/cuts/filters.yaml b/validphys2/src/validphys/cuts/filters.yaml
index 30dbb8ad2d..6b974ae574 100644
--- a/validphys2/src/validphys/cuts/filters.yaml
+++ b/validphys2/src/validphys/cuts/filters.yaml
@@ -70,6 +70,18 @@
    linearly dependent on the others
   rule: "m_ttBar<1985 or y_ttBar<1.645"
 
+- dataset: ATLAS_TTBAR_13TEV_LJ_DIF_MTTBAR-PTT-NORM
+  reason: |
+   We remove the last bin of the normalised distribution because it is
+   linearly dependent on the others
+  rule: "pT_t<640 or m_ttBar<1500"
+
+- dataset: ATLAS_TTBAR_13TEV_LJ_DIF_PTT-YT-NORM
+  reason: |
+   We remove the last bin of the normalised distribution because it is
+   linearly dependent on the others
+  rule: "pT_t<650 or y_t<2.0"
+
 - dataset: ATLAS_TTBAR_13TEV_LJ_DIF_MTTBAR-NORM
   reason: |
    We remove the last bin of the normalised distribution because it is
diff --git a/validphys2/src/validphys/process_options.py b/validphys2/src/validphys/process_options.py
index e90ca8ba33..459a8dc4bf 100644
--- a/validphys2/src/validphys/process_options.py
+++ b/validphys2/src/validphys/process_options.py
@@ -384,7 +384,14 @@ def _dymll_xq2map(kin_info):
 HQP_PTQ = _Process(
     "HQP_PTQ",
     "Transverse momentum of top quark in top pair production",
-    accepted_variables=(_Vars.pT_t, _Vars.y_t, _Vars.y_ttBar, _Vars.sqrts, _Vars.m_t2),
+    accepted_variables=(
+        _Vars.pT_t,
+        _Vars.m_ttBar,
+        _Vars.y_t,
+        _Vars.y_ttBar,
+        _Vars.sqrts,
+        _Vars.m_t2,
+    ),
     xq2map_function=_hqp_ptq_xq2map,
 )