Changes between Version 55 and Version 56 of PublicAnalysisDatabase

Timestamp:

Mar 10, 2015, 6:49:50 PM (10 years ago)

Author:

Sabine Kraml

Comment:

--

PublicAnalysisDatabase

@@ -19 +19 @@
 The created working directory contains all the analyses that are publicly available.
 
-New analyses can be added in a second step by running the script newAnalyzer.py (located in !Build/SampleAnalyzer), passing as an argument the name of the analysis of interest. For instance,
+**New analyses** can be added in a second step by running the script newAnalyzer.py (located in !Build/SampleAnalyzer), passing as an argument the name of the analysis of interest. For instance,
 {{{
- python newAnalyzer.py cms_sus_13_011
+ python newAnalyzer.py cms_sus_14_001
 }}}
-will create and modify all necessary files for adding the analysis named cms_sus_13_011. In particular, a pair of header and source C++ files cms_sus_13_011.cpp and cms_sus_13_011.h are now available in the subdirectory !Build/SampleAnalyzer/User/Analyzer. These files must be replaced by those available for download in the database (see list below).
+will create and modify the necessary files for adding the analysis named cms_sus_14_001. In particular, a pair of header and source C++ files cms_sus_14_001.cpp and cms_sus_14_001.h are now available in the subdirectory !Build/SampleAnalyzer/User/Analyzer. You can now either implement the analysis yourself or replace the newly created files with those shared by somebody else.
 
-After execution of an analysis, exclusion under the CLs prescription can be computed with the Python code [http://madanalysis.irmp.ucl.ac.be/attachment/wiki/PhysicsAnalysisDatabase/exclusion_CLs.py exclusion_CLs.py] It requires [http://www.scipy.org/ SciPy] to be installed.
+After execution of an analysis, **exclusion under the CLs prescription** can be computed with the Python code [http://madanalysis.irmp.ucl.ac.be/attachment/wiki/PhysicsAnalysisDatabase/exclusion_CLs.py exclusion_CLs.py] It requires [http://www.scipy.org/ SciPy] to be installed.
 The path to the working directory of interest has to be provided in the variable analysis_path in the beginning of the code. The limit-setting code can also be obtained with the command
 {{{
@@ -35 +35 @@
  ./exclusion_CLs.py analysis_name mypoint.txt [run_number] [cross section in pb]
 }}}
-The exclusion results will be printed on the screen and in an output file located in the directory mypoint.txt/ of the output of the analysis. In order to get the efficiency map associated with a given benchmark point, the following script can be run
+The exclusion results will be printed on the screen and in an output file located in the directory mypoint.txt/ of the output of the analysis. In order to get the **efficiency map** associated with a given benchmark point, the following script can be run
 {{{
  ./getmaps.py mypoint.txt