Changes between Version 58 and Version 59 of PublicAnalysisDatabase


Ignore:
Timestamp:
Mar 12, 2015, 8:34:36 AM (10 years ago)
Author:
Sabine Kraml
Comment:

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  • PublicAnalysisDatabase

    v58 v59  
    77 install delphesMA5tune
    88}}}
    9 within !MadAnalysis 5. If you have an older version of !MadAnalysis 5, first update it to the latest one.
     9within !MadAnalysis 5. If you have an older version of !MadAnalysis 5, first update it to the latest one. Also, beware that the standard Delphes and delphesMA5tune cannot be used simultaneously!!
    1010
    1111You then need to create a working directory by starting !MadAnalysis 5 as
     
    1313 ./bin/ma5 -R
    1414}}}
    15 and type
     15If you want to use our scripts for limit setting and efficiency maps (see below), type
     16{{{
     17 install RecastingTools
     18}}}
     19Then type
    1620{{{
    1721install PAD
    1822}}}
    19 The created working directory contains all the analyses that are publicly available.
     23to create a working directory that contains all the analyses that are publicly available.
    2024
    21 **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,
     25**New analyses** can be added by running the script newAnalyzer.py (located in !Build/SampleAnalyzer), passing as an argument the name of the analysis of interest. For instance,
    2226{{{
    2327 python newAnalyzer.py cms_sus_14_001
     
    2529will 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 (or downloaded from the list below in case you do not use the automatic PAD installation from above).
    2630
    27 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.
    28 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
    29 {{{
    30  install RecastingTools
    31 }}}
    32 within !MadAnalysis 5. This will create a local copy of [http://madanalysis.irmp.ucl.ac.be/attachment/wiki/PhysicsAnalysisDatabase/exclusion_CLs.py exclusion_CLs.py] (as well as [http://madanalysis.irmp.ucl.ac.be/attachment/wiki/PhysicsAnalysisDatabase/getmaps.py getmaps.py], see below) in every new working directory.
    33 In both cases, the code should be called as
     31After 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] Note that it requires [http://www.scipy.org/ SciPy] to be installed.
     32The path to the working directory of interest has to be provided in the variable analysis_path in the beginning of the code.
     33If you have done install !RecastingTools, then a local copy of [http://madanalysis.irmp.ucl.ac.be/attachment/wiki/PhysicsAnalysisDatabase/exclusion_CLs.py exclusion_CLs.py] is available in every new working directory. The code is called as
    3434{{{
    3535 ./exclusion_CLs.py analysis_name mypoint.txt [run_number] [cross section in pb]
    3636}}}
    37 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
     37The 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. Details are given in [http://arxiv.org/abs/1407.3278 arXiv:1407.3278].
     38
     39In order to get the **efficiency map** associated with a given benchmark point, the [http://madanalysis.irmp.ucl.ac.be/attachment/wiki/PhysicsAnalysisDatabase/getmaps.py getmaps.py] script can be run
    3840{{{
    3941 ./getmaps.py mypoint.txt
    4042}}}
    41 This creates one file for each analysis that have been executed, this file containing the efficiency associated with each of the signal regions of the relevant analysis. We recall that this script has to be installed with the ''install !RecastingTools'' command. Note that in order to have those scripts available, they must be installed before creating the working directory.
    42 
     43This creates one file for each analysis that has been executed, this file containing the efficiency associated with each of the signal regions of the relevant analysis.
     44(We stress that in order to have these scripts available, they must be installed before creating the working directory.)
    4345
    4446''We strongly encourage users to publish their re-implemented LHC analyses via Inspire.'' This way they not only become part of the public database, rendering them as useful as possible to the community, but they also become individually searchable and citable.