Merge pull request gammapy#5596 from meeseeksmachine/auto-backport-of…

…-pr-5589-on-v1.3.x

Backport PR gammapy#5589 on branch v1.3.x (Fix select_nested_models docstring fit)

examples/tutorials/data/cta.py

@@ -18,8 +18,10 @@
 analyse CTAO data and to use Gammapy, if you are a member of the CTAO
 consortium, you can use the simulated dataset from:
 
-- the CTA first data challenge which ran in 2017 and 2018 (https://forge.in2p3.fr/projects/data-challenge-1-dc-1/wiki),
-- the CTAO Science Data Challenge of 2024 (https://ctaoobservatory.sharepoint.com/:f:/r/sites/share-open-data/Shared%20Documents/Reference%20datasets/Internal%20Science%20Data%20Challenge?csf=1&web=1&e=gNuFzI)
+- the CTA first data challenge which ran in 2017 and 2018 (see `here <https://forge.in2p3.fr/projects/data-challenge-1-dc-1/wiki>`__
+  for CTAO members)
+- the CTAO Science Data Challenge of 2024 (see `here <https://ctaoobservatory.sharepoint.com/:f:/r/sites/share-open-data/Shared%20Documents/Reference%20datasets/Internal%20Science%20Data%20Challenge?csf=1&web=1&e=gNuFzI>`__
+  for CTAO members)
 
 Gammapy fully supports the FITS data formats (events, IRFs) used in CTA
 1DC and SDC. The XML sky model format is not supported, but are also not needed

gammapy/modeling/selection.py

@@ -197,9 +197,10 @@ def select_nested_models(
     n_free_parameters : int, optional
         Number of free parameters to consider between the two hypothesis
         in order to estimate the `ts_threshold` from the `n_sigma` threshold.
-        Default is len(parameters).
+        Default is ``len(parameters)``.
     fit : `Fit`, optional
-        Fit instance specifying the backend and fit options. Default is None.
+        Fit instance specifying the backend and fit options. Default is None, which utilises
+        the "minuit" backend with tol=0.1 and strategy=1.
 
     Returns
     -------