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diff --git a/docs/dev/_images/sphx_glr_priors_004.png b/docs/dev/_images/sphx_glr_priors_004.png
diff --git a/docs/dev/_images/sphx_glr_simulate_3d_001.png b/docs/dev/_images/sphx_glr_simulate_3d_001.png
diff --git a/docs/dev/_images/sphx_glr_simulate_3d_002.png b/docs/dev/_images/sphx_glr_simulate_3d_002.png
diff --git a/docs/dev/_images/sphx_glr_simulate_3d_thumb.png b/docs/dev/_images/sphx_glr_simulate_3d_thumb.png
diff --git a/docs/dev/_images/sphx_glr_spectral_analysis_rad_max_005.png b/docs/dev/_images/sphx_glr_spectral_analysis_rad_max_005.png
diff --git a/docs/dev/_sources/sg_execution_times.rst.txt b/docs/dev/_sources/sg_execution_times.rst.txt
diff --git a/docs/dev/_sources/tutorials/analysis-1d/ebl.rst.txt b/docs/dev/_sources/tutorials/analysis-1d/ebl.rst.txt
@@ -352,7 +352,7 @@ compound model.
 
     SkyModel
 
-      Name                      : fqWXjR0p
+      Name                      : 40L1h-xI
       Datasets names            : None
       Spectral model type       : CompoundSpectralModel
       Spatial  model type       : 
@@ -367,7 +367,7 @@ compound model.
 
     SkyModel
 
-      Name                      : NdFUl7PQ
+      Name                      : SYblo9n5
       Datasets names            : None
       Spectral model type       : PowerLawSpectralModel
       Spatial  model type       : 

diff --git a/docs/dev/_sources/tutorials/analysis-1d/sed_fitting.rst.txt b/docs/dev/_sources/tutorials/analysis-1d/sed_fitting.rst.txt
@@ -162,7 +162,7 @@ attribute:
 
     <div class="output_subarea output_html rendered_html output_result">
     <div><i>Table length=5</i>
-    <table id="table140683087231680" class="table-striped table-bordered table-condensed">
+    <table id="table139879866143024" class="table-striped table-bordered table-condensed">
     <thead><tr><th>e_ref</th><th>e_min</th><th>e_max</th><th>dnde</th><th>dnde_errp</th><th>dnde_errn</th><th>dnde_ul</th><th>sqrt_ts</th><th>is_ul</th></tr></thead>
     <thead><tr><th>GeV</th><th>GeV</th><th>GeV</th><th>1 / (cm2 GeV s)</th><th>1 / (cm2 GeV s)</th><th>1 / (cm2 GeV s)</th><th>1 / (cm2 GeV s)</th><th></th><th></th></tr></thead>
     <thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float32</th><th>bool</th></tr></thead>

diff --git a/docs/dev/_sources/tutorials/analysis-1d/sg_execution_times.rst.txt b/docs/dev/_sources/tutorials/analysis-1d/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**01:21.063** total execution time for 8 files **from tutorials/analysis-1d**:
+**01:22.114** total execution time for 8 files **from tutorials/analysis-1d**:
 
 .. container::
 
@@ -33,26 +33,26 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_tutorials_analysis-1d_spectral_analysis.py` (``spectral_analysis.py``)
-     - 00:44.102
+     - 00:44.814
      - 0.0
    * - :ref:`sphx_glr_tutorials_analysis-1d_spectral_analysis_hli.py` (``spectral_analysis_hli.py``)
-     - 00:07.867
-     - 0.0
-   * - :ref:`sphx_glr_tutorials_analysis-1d_spectrum_simulation.py` (``spectrum_simulation.py``)
-     - 00:07.023
+     - 00:07.929
      - 0.0
    * - :ref:`sphx_glr_tutorials_analysis-1d_ebl.py` (``ebl.py``)
-     - 00:06.978
+     - 00:07.104
      - 0.0
-   * - :ref:`sphx_glr_tutorials_analysis-1d_sed_fitting.py` (``sed_fitting.py``)
-     - 00:05.319
+   * - :ref:`sphx_glr_tutorials_analysis-1d_spectrum_simulation.py` (``spectrum_simulation.py``)
+     - 00:07.099
      - 0.0
-   * - :ref:`sphx_glr_tutorials_analysis-1d_extended_source_spectral_analysis.py` (``extended_source_spectral_analysis.py``)
-     - 00:04.450
+   * - :ref:`sphx_glr_tutorials_analysis-1d_sed_fitting.py` (``sed_fitting.py``)
+     - 00:05.371
      - 0.0
    * - :ref:`sphx_glr_tutorials_analysis-1d_spectral_analysis_rad_max.py` (``spectral_analysis_rad_max.py``)
-     - 00:04.435
+     - 00:04.544
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_analysis-1d_extended_source_spectral_analysis.py` (``extended_source_spectral_analysis.py``)
+     - 00:04.397
      - 0.0
    * - :ref:`sphx_glr_tutorials_analysis-1d_cta_sensitivity.py` (``cta_sensitivity.py``)
-     - 00:00.889
+     - 00:00.856
      - 0.0
diff --git a/docs/dev/_sources/tutorials/analysis-1d/spectral_analysis.rst.txt b/docs/dev/_sources/tutorials/analysis-1d/spectral_analysis.rst.txt
@@ -1216,7 +1216,7 @@ tutorial.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 44.102 seconds)
+   **Total running time of the script:** (0 minutes 44.814 seconds)
 
 
 .. _sphx_glr_download_tutorials_analysis-1d_spectral_analysis.py:

diff --git a/docs/dev/_sources/tutorials/analysis-1d/spectral_analysis_hli.rst.txt b/docs/dev/_sources/tutorials/analysis-1d/spectral_analysis_hli.rst.txt
@@ -351,7 +351,7 @@ Here is what the configuration for our analysis looks like:
                 selection_optional: all
         metadata:
             creator: Gammapy 1.3.dev1265+g1c271b525
-            date: '2024-10-21T15:20:41.837103'
+            date: '2024-10-21T17:37:18.073569'
             origin: null
     
 
@@ -572,7 +572,7 @@ One can export/import the `~gammapy.analysis.AnalysisConfig` to/from a YAML file
                 selection_optional: all
         metadata:
             creator: Gammapy 1.3.dev1265+g1c271b525
-            date: '2024-10-21T15:20:41.861238'
+            date: '2024-10-21T17:37:18.098023'
             origin: null
     
 
@@ -1108,7 +1108,7 @@ This is how we can write the model back to file again:
     covariance: model-best-fit_covariance.dat
     metadata:
         creator: Gammapy 1.3.dev1265+g1c271b525
-        date: '2024-10-21T15:20:45.411347'
+        date: '2024-10-21T17:37:21.604987'
         origin: null
 
 

diff --git a/docs/dev/_sources/tutorials/analysis-1d/spectral_analysis_rad_max.rst.txt b/docs/dev/_sources/tutorials/analysis-1d/spectral_analysis_rad_max.rst.txt
@@ -749,10 +749,10 @@ provide a good distribution of the background.
       result = super().__array_ufunc__(function, method, *arrays, **kwargs)
       model   type    name     value         unit      ... min max frozen link prior
     --------- ---- --------- ---------- -------------- ... --- --- ------ ---- -----
-    simulated      amplitude 4.3011e-11 cm-2 s-1 TeV-1 ... nan nan  False           
+    simulated      amplitude 4.0061e-11 cm-2 s-1 TeV-1 ... nan nan  False           
     simulated      reference 1.0000e+00            TeV ... nan nan   True           
-    simulated          alpha 2.4671e+00                ... nan nan  False           
-    simulated           beta 1.8258e-01                ... nan nan  False           
+    simulated          alpha 2.6368e+00                ... nan nan  False           
+    simulated           beta 1.6804e-01                ... nan nan  False           
 
 
 

diff --git a/docs/dev/_sources/tutorials/analysis-1d/spectrum_simulation.rst.txt b/docs/dev/_sources/tutorials/analysis-1d/spectrum_simulation.rst.txt
@@ -411,14 +411,14 @@ dealing with simulations based on observations of real off counts.
     SpectrumDatasetOnOff
     --------------------
 
-      Name                            : cIYcfWzq 
+      Name                            : GBi9ruj2 
 
-      Total counts                    : 315 
-      Total background counts         : 24.00
-      Total excess counts             : 291.00
+      Total counts                    : 318 
+      Total background counts         : 22.60
+      Total excess counts             : 295.40
 
-      Predicted counts                : 305.50
-      Predicted background counts     : 24.13
+      Predicted counts                : 304.24
+      Predicted background counts     : 22.87
       Predicted excess counts         : 281.37
 
       Exposure min                    : 2.53e+08 m2 s
@@ -428,7 +428,7 @@ dealing with simulations based on observations of real off counts.
       Number of fit bins              : 9 
 
       Fit statistic type              : wstat
-      Fit statistic value (-2 log(L)) : 4.69
+      Fit statistic value (-2 log(L)) : 3.49
 
       Number of models                : 1 
       Number of parameters            : 3
@@ -446,7 +446,7 @@ dealing with simulations based on observations of real off counts.
           amplitude                     :   2.50e-12   +/- 0.0e+00 1 / (cm2 s TeV)
           reference             (frozen):      1.000       TeV         
   
-        Total counts_off                : 120 
+        Total counts_off                : 113 
       Acceptance                      : 9 
       Acceptance off                  : 45 
 

diff --git a/docs/dev/_sources/tutorials/analysis-2d/detect.rst.txt b/docs/dev/_sources/tutorials/analysis-2d/detect.rst.txt
@@ -425,7 +425,7 @@ normalisation factor:
 
     SkyModel
 
-      Name                      : tkXhjcYI
+      Name                      : XKBsiUjQ
       Datasets names            : None
       Spectral model type       : PowerLawSpectralModel
       Spatial  model type       : PointSpatialModel
@@ -624,7 +624,7 @@ Here’s some suggestions what to do next:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 20.602 seconds)
+   **Total running time of the script:** (0 minutes 21.353 seconds)
 
 
 .. _sphx_glr_download_tutorials_analysis-2d_detect.py:

diff --git a/docs/dev/_sources/tutorials/analysis-2d/modeling_2D.rst.txt b/docs/dev/_sources/tutorials/analysis-2d/modeling_2D.rst.txt
@@ -343,7 +343,7 @@ analysis as *3D*, and define the geometry of the analysis.
                 selection_optional: all
         metadata:
             creator: Gammapy 1.3.dev1265+g1c271b525
-            date: '2024-10-21T15:21:52.201865'
+            date: '2024-10-21T17:38:30.133331'
             origin: null
     
 

diff --git a/docs/dev/_sources/tutorials/analysis-2d/ring_background.rst.txt b/docs/dev/_sources/tutorials/analysis-2d/ring_background.rst.txt
@@ -326,7 +326,7 @@ MSH 1552
                 selection_optional: all
         metadata:
             creator: Gammapy 1.3.dev1265+g1c271b525
-            date: '2024-10-21T15:21:40.028003'
+            date: '2024-10-21T17:38:17.498534'
             origin: null
     
 
@@ -477,7 +477,7 @@ create the config
                 selection_optional: all
         metadata:
             creator: Gammapy 1.3.dev1265+g1c271b525
-            date: '2024-10-21T15:21:40.085408'
+            date: '2024-10-21T17:38:17.556809'
             origin: null
     
 
@@ -776,7 +776,7 @@ to be a standard normal distribution.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 11.981 seconds)
+   **Total running time of the script:** (0 minutes 12.414 seconds)
 
 
 .. _sphx_glr_download_tutorials_analysis-2d_ring_background.py:

diff --git a/docs/dev/_sources/tutorials/analysis-2d/sg_execution_times.rst.txt b/docs/dev/_sources/tutorials/analysis-2d/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:38.043** total execution time for 3 files **from tutorials/analysis-2d**:
+**00:39.489** total execution time for 3 files **from tutorials/analysis-2d**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_tutorials_analysis-2d_detect.py` (``detect.py``)
-     - 00:20.602
+     - 00:21.353
      - 0.0
    * - :ref:`sphx_glr_tutorials_analysis-2d_ring_background.py` (``ring_background.py``)
-     - 00:11.981
+     - 00:12.414
      - 0.0
    * - :ref:`sphx_glr_tutorials_analysis-2d_modeling_2D.py` (``modeling_2D.py``)
-     - 00:05.461
+     - 00:05.722
      - 0.0
diff --git a/docs/dev/_sources/tutorials/analysis-3d/analysis_3d.rst.txt b/docs/dev/_sources/tutorials/analysis-3d/analysis_3d.rst.txt
@@ -296,7 +296,7 @@ the analysis, we will programmatically build a config file from scratch.
                 selection_optional: all
         metadata:
             creator: Gammapy 1.3.dev1265+g1c271b525
-            date: '2024-10-21T15:21:57.849191'
+            date: '2024-10-21T17:38:36.069422'
             origin: null
     
     AnalysisConfig
@@ -410,7 +410,7 @@ the analysis, we will programmatically build a config file from scratch.
                 selection_optional: all
         metadata:
             creator: Gammapy 1.3.dev1265+g1c271b525
-            date: '2024-10-21T15:21:57.856860'
+            date: '2024-10-21T17:38:36.077317'
             origin: null
     
 
@@ -1065,21 +1065,21 @@ Data reduction
     Dataset 0: 
 
       Type       : MapDataset
-      Name       : pLkEF4nX
+      Name       : aoOPBCbk
       Instrument : CTA
       Models     : 
 
     Dataset 1: 
 
       Type       : MapDataset
-      Name       : tsObHt3d
+      Name       : cFT7raXQ
       Instrument : CTA
       Models     : 
 
     Dataset 2: 
 
       Type       : MapDataset
-      Name       : nt13MIWU
+      Name       : uNmR6G-m
       Instrument : CTA
       Models     : 
 
@@ -1112,7 +1112,7 @@ You can access each one by name or by index, eg:
     MapDataset
     ----------
 
-      Name                            : pLkEF4nX 
+      Name                            : aoOPBCbk 
 
       Total counts                    : 40481 
       Total background counts         : 36014.51
@@ -1180,9 +1180,9 @@ map, omit the region argument.
       name   counts       excess       ... n_fit_bins stat_type stat_sum
                                        ...                              
     -------- ------ ------------------ ... ---------- --------- --------
-    pLkEF4nX  40481 4466.4930435940405 ...     693940      cash      nan
-    tsObHt3d  40525  4510.505523195905 ...     693940      cash      nan
-    nt13MIWU  40235  4220.480554966147 ...     693940      cash      nan
+    aoOPBCbk  40481 4466.4930435940405 ...     693940      cash      nan
+    cFT7raXQ  40525  4510.505523195905 ...     693940      cash      nan
+    uNmR6G-m  40235  4220.480554966147 ...     693940      cash      nan
     Models
 
     Component 0: SkyModel
@@ -1203,8 +1203,8 @@ map, omit the region argument.
 
     Component 1: FoVBackgroundModel
 
-      Name                      : pLkEF4nX-bkg
-      Datasets names            : ['pLkEF4nX']
+      Name                      : aoOPBCbk-bkg
+      Datasets names            : ['aoOPBCbk']
       Spectral model type       : PowerLawNormSpectralModel
       Parameters:
         norm                          :      1.000   +/-    0.00             
@@ -1213,8 +1213,8 @@ map, omit the region argument.
 
     Component 2: FoVBackgroundModel
 
-      Name                      : tsObHt3d-bkg
-      Datasets names            : ['tsObHt3d']
+      Name                      : cFT7raXQ-bkg
+      Datasets names            : ['cFT7raXQ']
       Spectral model type       : PowerLawNormSpectralModel
       Parameters:
         norm                          :      1.000   +/-    0.00             
@@ -1223,8 +1223,8 @@ map, omit the region argument.
 
     Component 3: FoVBackgroundModel
 
-      Name                      : nt13MIWU-bkg
-      Datasets names            : ['nt13MIWU']
+      Name                      : uNmR6G-m-bkg
+      Datasets names            : ['uNmR6G-m']
       Spectral model type       : PowerLawNormSpectralModel
       Parameters:
         norm                          :      1.000   +/-    0.00             
@@ -1339,8 +1339,8 @@ Check best-fit parameters and error estimates:
 
     Component 1: FoVBackgroundModel
 
-      Name                      : pLkEF4nX-bkg
-      Datasets names            : ['pLkEF4nX']
+      Name                      : aoOPBCbk-bkg
+      Datasets names            : ['aoOPBCbk']
       Spectral model type       : PowerLawNormSpectralModel
       Parameters:
         norm                          :      1.118   +/-    0.01             
@@ -1349,8 +1349,8 @@ Check best-fit parameters and error estimates:
 
     Component 2: FoVBackgroundModel
 
-      Name                      : tsObHt3d-bkg
-      Datasets names            : ['tsObHt3d']
+      Name                      : cFT7raXQ-bkg
+      Datasets names            : ['cFT7raXQ']
       Spectral model type       : PowerLawNormSpectralModel
       Parameters:
         norm                          :      1.119   +/-    0.01             
@@ -1359,8 +1359,8 @@ Check best-fit parameters and error estimates:
 
     Component 3: FoVBackgroundModel
 
-      Name                      : nt13MIWU-bkg
-      Datasets names            : ['nt13MIWU']
+      Name                      : uNmR6G-m-bkg
+      Datasets names            : ['uNmR6G-m']
       Spectral model type       : PowerLawNormSpectralModel
       Parameters:
         norm                          :      1.111   +/-    0.01             
@@ -1489,7 +1489,7 @@ Exercises
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 37.177 seconds)
+   **Total running time of the script:** (0 minutes 38.845 seconds)
 
 
 .. _sphx_glr_download_tutorials_analysis-3d_analysis_3d.py:

diff --git a/docs/dev/_sources/tutorials/analysis-3d/cta_data_analysis.rst.txt b/docs/dev/_sources/tutorials/analysis-3d/cta_data_analysis.rst.txt
@@ -818,7 +818,7 @@ profile to compute the flux and flux error.
 
     <div class="output_subarea output_html rendered_html output_result">
     <div><i>Table length=5</i>
-    <table id="table140683071675456" class="table-striped table-bordered table-condensed">
+    <table id="table139880345116048" class="table-striped table-bordered table-condensed">
     <thead><tr><th>e_ref</th><th>e_min</th><th>e_max</th><th>dnde</th><th>dnde_err</th><th>ts</th><th>sqrt_ts</th><th>npred</th><th>npred_excess</th><th>stat</th><th>stat_null</th><th>counts</th><th>success</th></tr></thead>
     <thead><tr><th>TeV</th><th>TeV</th><th>TeV</th><th>1 / (cm2 s TeV)</th><th>1 / (cm2 s TeV)</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>
     <thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64[1]</th><th>float32[1]</th><th>float64</th><th>float64</th><th>float64[1]</th><th>bool</th></tr></thead>
@@ -912,7 +912,7 @@ What next?
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 17.160 seconds)
+   **Total running time of the script:** (0 minutes 17.516 seconds)
 
 
 .. _sphx_glr_download_tutorials_analysis-3d_cta_data_analysis.py: