diff --git a/DaVinciExamples/python/DaVinciExamples/tupling/option_davinci_tupling_DTF_pvs.py b/DaVinciExamples/python/DaVinciExamples/tupling/option_davinci_tupling_DTF_pvs.py index 85cbf1e6354af0d80de9905b39a7535303719763..505e3cf736455f89e0ac6b68d98b0527c4dcb7c6 100644 --- a/DaVinciExamples/python/DaVinciExamples/tupling/option_davinci_tupling_DTF_pvs.py +++ b/DaVinciExamples/python/DaVinciExamples/tupling/option_davinci_tupling_DTF_pvs.py @@ -13,9 +13,13 @@ Example options to show the usage of the DecayTreeFitter with PV constraints. rst_title: DecayTreeFitter with PV constraints rst_description: This example shows how to use DecayTreeFitter with PV constraints. It creates two ntuples. The first ntuple is filled with versions of the DecayTreeFitter algorithm: - A. use a constraint to the PV associated to the particle ("OWNPV"); - B. use a constraint to the best PV from a list; - C. perform multiple fits, each with another PV from the list in the event (WH advices against using this). + + A. use a constraint to the PV associated to the particle ("OWNPV"); + + B. use a constraint to the best PV from a list; + + C. perform multiple fits, each with another PV from the list in the event (WH advices against using this). + To fill the second ntuple, the PV associated to each candidate is first unbiased. Then it fits the new particle list with DecayTreeFitter using the associated PV (method A). rst_running: lbexec DaVinciExamples.tupling.option_davinci_tupling_DTF_pvs:main $DAVINCIEXAMPLESROOT/example_data/test_passthrough_thor_lines.yaml rst_yaml: ../DaVinciExamples/example_data/test_passthrough_thor_lines.yaml diff --git a/DaVinciTutorials/python/DaVinciTutorials/tutorial4_trigger_eventinfo.py b/DaVinciTutorials/python/DaVinciTutorials/tutorial4_trigger_eventinfo.py index c2b042a98880d268d9e032dab13e4703b268b5a6..897f3fb0618b78196a44fa7b232ecde5414589b5 100644 --- a/DaVinciTutorials/python/DaVinciTutorials/tutorial4_trigger_eventinfo.py +++ b/DaVinciTutorials/python/DaVinciTutorials/tutorial4_trigger_eventinfo.py @@ -40,7 +40,7 @@ The function `get_decreports` takes as input: The `Hlt1` decisions can be stored in similar way to `Hlt2` and `Spruce` (see for example `option_trigger_decisions` in `DaVinciExamples` folder). -For details, one can also refer to this `talk <https://indico.cern.ch/event/1164051/#5-accessing-hlt1-decisions-usi>`_ +For details, one can also refer to this `talk <https://indico.cern.ch/event/1164051/>`_ that shows how to persist Hlt1 decisions, since one needs to add few options to the Moore script. rst_running: lbexec DaVinciTutorials.tutorial3_ThOrfunctors:main $DAVINCITUTORIALSROOT/options.yaml diff --git a/DaVinciTutorials/python/DaVinciTutorials/tutorial6_DecayTreeFit.py b/DaVinciTutorials/python/DaVinciTutorials/tutorial6_DecayTreeFit.py index b671629b118c3ea16b75de83f276f2515ac3e5b4..90c4f31843a93481a476bbc6604326b9f5ba9940 100644 --- a/DaVinciTutorials/python/DaVinciTutorials/tutorial6_DecayTreeFit.py +++ b/DaVinciTutorials/python/DaVinciTutorials/tutorial6_DecayTreeFit.py @@ -33,7 +33,7 @@ For more information on DTF see: - the original `article <https://inspirehep.net/literature/679286>`_ - the `LHCb page <https://twiki.cern.ch/twiki/bin/view/LHCb/DecayTreeFitter>`_ - - a lecture from its `author <https://www.nikhef.nl/~wouterh/topicallectures/TrackingAndVertexing/part6.pdf>`_ + - a lecture from its `author <https://www.nikhef.nl/~wouterh/teaching/TrackingAndVertexing/part6.pdf>`_ rst_running: lbexec DaVinciTutorials.tutorial6_DecayTreeFit:main $DAVINCITUTORIALSROOT/options.yaml rst_yaml: ../DaVinciTutorials/options.yaml diff --git a/doc/conf.py b/doc/conf.py index 3da52be09410c18d981b8cdabff96a67da24b37c..9e9e50f77aa98b80c1f314dbe418c88cf11ff37f 100644 --- a/doc/conf.py +++ b/doc/conf.py @@ -43,12 +43,12 @@ extensions = [ "sphinx_rtd_theme", "sphinx.ext.autodoc", "sphinx.ext.napoleon", + "autoapi.extension", "sphinx.ext.viewcode", "sphinx.ext.graphviz", "sphinx.ext.todo", "graphviz_linked", "sphinxcontrib.autodoc_pydantic", - "autoapi.extension", ] # Control the display of the DaVinci.Options object