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MCLimits Fitting Code: Tool for Measuring Sensitivity |
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ttH_massDistribution_Example.C - this is the 'driver' code effectively for MCLIMITS. It defines the input to mclimits and which methods from mclimits should be run. |
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> | This file is available for testing here: /home/cwright/roofit/Rick/tthiggs_CSC_updateForThesis/ttH_massDistribution_Example.C
You will also need the following rootfiles in order to run: /home/cwright/roofit/Rick/tthiggs_CSC_updateForThesis/rootfiles/
(You need them all!) |
| | Useful Output
The outcomes from the MCLimits code is heavily dependent on the methods which are selected and run. However there are a set of standard outputs that are of use when doing a hypothesis test, and assessing sensitivity. These are detailed here. |
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- J. Heinrich's Bayesian Limit results (s95med, s95p1,s95p2,s95m1,s95m2) |
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> | The details of these tools are all included in the MCLIMITS documentation (that comes along with the tarball), and rather than repeat the details of each tool here, I recommend you read the paper! |
| | Useful Statistics Documentation
There is a myriad of statistics books and papers available. A simple list of papers that are useful for understanding the statistical concepts adopted in the mclimits code are listed here: |
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