Changes between Version 10 and Version 11 of SRCombinations

Timestamp:

Feb 19, 2020, 8:20:48 PM (5 years ago)

Author:

GaelAlguero

Comment:

--

SRCombinations

@@ -79 +79 @@
 == Combining SR using covariance matrices with the [https://cds.cern.ch/record/2242860 simplified likelihood] method ==
 
-Covariance matrices provided for some CMS SUSY searches, can be used to build an approximate simplified likelihood. {{{info}}} files from the [http://madanalysis.irmp.ucl.ac.be/wiki/PublicAnalysisDatabase Public Analysis Database] can be extended with the covariance information from which MadAnalysis5 builds a simplified likelihood. This allows to compute combined CLs and combined cross-section upper limits. The standard syntax of the {{{info}}} file
+Covariance matrices provided for some CMS SUSY searches, can be used to build an approximate simplified likelihood. {{{info}}} files from the [http://madanalysis.irmp.ucl.ac.be/wiki/PublicAnalysisDatabase Public Analysis Database] (PAD) can be extended with the covariance information from which MadAnalysis5 builds a simplified likelihood. This allows to compute combined CLs and combined cross-section upper limits. The standard syntax of the {{{info}}} file
 {{{
 <analysis id="analysis name">
@@ -110 +110 @@
 <analysis id="cms_sus_16_039" cov_subset="SRs_A">
 }}}
-The susbset description will be printed to the output file with the results from simplified likelihood combination, after the usual exclusion information:
+[http://cms-results.web.cern.ch/cms-results/public-results/publications/SUS-17-001/index.html CMS-SUS-17-001] provided a set of "super signal regions" (SSRs) with their covariances, aimed to be used for approximate reinterpretation. These SSRs were implemented in the PAD and thus have recently been updated with their covariance information. The {{{info}}} file is attached to this page as concrete example with a reduced number of signal regions.
+
+The subset description will be printed to the output file with the results from simplified likelihood combination, after the usual exclusion information:
 {{{
 <set> <tag> <cov_subset> <exp> <obs> <CLs> ||