Update version to v10.4.1

Aliya Nigamova · Aliya Nigamova · commit 5e00e6420653 · 2025-12-05T16:34:09.000+01:00
diff --git a/bin/combine.cpp b/bin/combine.cpp
@@ -33,7 +33,7 @@
 using namespace std;
 
 // Update whenever we have a new Tag
-std::string combineTagString = "v10.3.3";
+std::string combineTagString = "v10.4.1";
 // 
 
 int main(int argc, char **argv) {
diff --git a/docs/index.md b/docs/index.md
@@ -37,14 +37,14 @@ releases on github under
 The nominal installation method is inside CMSSW. The current release targets
 the CMSSW `14_1_X` series because of the recent switch to el9 at lxplus machines.
 
-Currently, the recommended tag is **v10.3.3**: [see release notes](https://github.com/cms-analysis/HiggsAnalysis-CombinedLimit/releases/tag/v10.3.3)
+Currently, the recommended tag is **v10.4.1**: [see release notes](https://github.com/cms-analysis/HiggsAnalysis-CombinedLimit/releases/tag/v10.4.1)
 The `git clone` command below contains this tag and is optimised to reduce disk usage.
 
 ```sh
 cmsrel CMSSW_14_1_0_pre4
 cd CMSSW_14_1_0_pre4/src
 cmsenv
-git -c advice.detachedHead=false clone --depth 1 --branch v10.3.3 https://github.com/cms-analysis/HiggsAnalysis-CombinedLimit.git HiggsAnalysis/CombinedLimit
+git -c advice.detachedHead=false clone --depth 1 --branch v10.4.1 https://github.com/cms-analysis/HiggsAnalysis-CombinedLimit.git HiggsAnalysis/CombinedLimit
 cd HiggsAnalysis/CombinedLimit
 scramv1 b clean; scramv1 b -j$(nproc --ignore=2) # always make a clean build, with n - 2 cores on the system
 ```
@@ -226,7 +226,7 @@ Pre-compiled versions of the tool are available as container images from the [CM
 ```sh
 docker run --name combine -it gitlab-registry.cern.ch/cms-cloud/combine-standalone:<tag>
 ```
-where you must replace `<tag>` with a particular version of the tool. Containers are available from `v9.2.1` and `v10.0.1` onwards. If no tag is specified the latest version of the container will be loaded, which is `v10.3.3` at the moment.
+where you must replace `<tag>` with a particular version of the tool. Containers are available from `v9.2.1` and `v10.0.1` onwards. If no tag is specified the latest version of the container will be loaded, which is `v10.4.1` at the moment.
 
 You will now have the compiled <span style="font-variant:small-caps;">Combine</span> binary available as well as the complete package of tool.
 The container can be re-started using `docker start -i combine`.
diff --git a/test/references/LHC-limits.out b/test/references/LHC-limits.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> using the Profile Likelihood test statistic modified for upper limits (Q_LHC)
 >>> Method used is HybridNew
diff --git a/test/references/LHC-significance.out b/test/references/LHC-significance.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> using the Profile Likelihood test statistic modified for upper limits (Q_LHC)
 >>> Method used is HybridNew
diff --git a/test/references/MarkovChainMC.out b/test/references/MarkovChainMC.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MarkovChainMC
 
diff --git a/test/references/cmshistfunc.out b/test/references/cmshistfunc.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Set Range of Parameter r To : (-5,5)
diff --git a/test/references/cmshistfunc_channel_masks.out b/test/references/cmshistfunc_channel_masks.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Set Range of Parameter r To : (-5,5)
diff --git a/test/references/cmshistfunc_shapeN.out b/test/references/cmshistfunc_shapeN.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Set Range of Parameter r To : (-5,5)
diff --git a/test/references/cmshistsum.out b/test/references/cmshistsum.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Set Range of Parameter r To : (-5,5)
diff --git a/test/references/cmshistsum_channel_masks.out b/test/references/cmshistsum_channel_masks.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Set Range of Parameter r To : (-5,5)
diff --git a/test/references/cmshistsum_shapeN.out b/test/references/cmshistsum_shapeN.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Set Range of Parameter r To : (-5,5)
diff --git a/test/references/counting_datacard.out b/test/references/counting_datacard.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Warning: Did not find a parameter with name r
diff --git a/test/references/counting_datacard_from_csv.out b/test/references/counting_datacard_from_csv.out
@@ -1,6 +1,6 @@
 Argument --algo not specified but --fromfile is set to fixed.csv, defaulting to --algo fixed.
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Doing initial fit: 
@@ -9,7 +9,7 @@ Set Default Value of Parameter r_qqH To : 1
  Evaluating fixed point with r_ggH= 1
  Evaluating fixed point with r_qqH= 1
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Doing initial fit: 
@@ -18,7 +18,7 @@ Set Default Value of Parameter r_qqH To : 2
  Evaluating fixed point with r_ggH= 1
  Evaluating fixed point with r_qqH= 2
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Doing initial fit: 
@@ -27,7 +27,7 @@ Set Default Value of Parameter r_qqH To : 1
  Evaluating fixed point with r_ggH= 2
  Evaluating fixed point with r_qqH= 1
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Doing initial fit: 
diff --git a/test/references/hzz4l-significance.out b/test/references/hzz4l-significance.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is Significance
 
diff --git a/test/references/multi-signal-ChannelCompatibilityCheck.out b/test/references/multi-signal-ChannelCompatibilityCheck.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is ChannelCompatibilityCheck
 
diff --git a/test/references/multi-signal.out b/test/references/multi-signal.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Doing initial fit: 
diff --git a/test/references/parametric-analysis-significance.out b/test/references/parametric-analysis-significance.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is Significance
 
diff --git a/test/references/parametric_analysis.out b/test/references/parametric_analysis.out
@@ -1,5 +1,5 @@
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Set Range of Parameter r To : (-2,1)
diff --git a/test/references/test_interference_py.out b/test/references/test_interference_py.out
@@ -232,7 +232,7 @@ Will scale ch1/VBFHH using CMSInterferenceFunc dependent on parameters ["expr::a
 Will scale ch1/background by 1
 Injecting external morph for prop_binch1_processVBFHH_externalMorph
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is GenerateOnly
 Generate toy 1/10
@@ -245,12 +245,12 @@ Generate toy 7/10
 Generate toy 8/10
 Generate toy 9/10
 Generate toy 10/10
-mean   expected limit: r < 6.95253e-310 +/- 0 @ 95%CL (10 toyMC)
-median expected limit: r < 6.95253e-310 @ 95%CL (10 toyMC)
-   68% expected band : 6.95253e-310 < r < 6.95253e-310
-   95% expected band : 6.95253e-310 < r < 6.95253e-310
+mean   expected limit: r < 6.95286e-310 +/- 0 @ 95%CL (10 toyMC)
+median expected limit: r < 6.95286e-310 @ 95%CL (10 toyMC)
+   68% expected band : 6.95286e-310 < r < 6.95286e-310
+   95% expected band : 6.95286e-310 < r < 6.95286e-310
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Doing initial fit: 
@@ -333,12 +333,12 @@ best fit parameter values:
     kl :    +1.283
     kv :    +0.565
    k2v :    +0.200
-mean   expected limit: r < 6.95262e-310 +/- 0 @ 95%CL (10 toyMC)
-median expected limit: r < 6.95262e-310 @ 95%CL (10 toyMC)
-   68% expected band : 6.95262e-310 < r < 6.95262e-310
-   95% expected band : 6.95262e-310 < r < 6.95262e-310
+mean   expected limit: r < 6.9528e-310 +/- 0 @ 95%CL (10 toyMC)
+median expected limit: r < 6.9528e-310 @ 95%CL (10 toyMC)
+   68% expected band : 6.9528e-310 < r < 6.9528e-310
+   95% expected band : 6.9528e-310 < r < 6.9528e-310
  <<< Combine >>> 
- <<< v10.3.3 >>>
+ <<< v10.4.1 >>>
 >>> Random number generator seed is 123456
 >>> Method used is MultiDimFit
 Doing initial fit: 
@@ -421,8 +421,8 @@ best fit parameter values:
     kl :    +1.283
     kv :    +0.565
    k2v :    +0.200
-mean   expected limit: r < 6.95264e-310 +/- 0 @ 95%CL (10 toyMC)
-median expected limit: r < 6.95264e-310 @ 95%CL (10 toyMC)
-   68% expected band : 6.95264e-310 < r < 6.95264e-310
-   95% expected band : 6.95264e-310 < r < 6.95264e-310
+mean   expected limit: r < 6.95275e-310 +/- 0 @ 95%CL (10 toyMC)
+median expected limit: r < 6.95275e-310 @ 95%CL (10 toyMC)
+   68% expected band : 6.95275e-310 < r < 6.95275e-310
+   95% expected band : 6.95275e-310 < r < 6.95275e-310
 Out of 10 toys, {'kl': 0, 'kv': 0, 'k2v': 0} are not matching (tolerance: 1e-4) between CMSHistFunc and CMSHistSum
