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The SModelS wiki can be found at https://smodels.github.io/ <https://smodels.github.io/>
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Todo for next SModelS version (2.0.1 or 2.1.0):
- modelTester mode that returns all datasets
- validation mode that writes out next-to-best SRs
- combination that runs with missing txname files
- add new xsec computers
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MSSM EW-ino scan
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to what extent can we improve coverage [of mixed scenarios] by combining likelihoods from different analyses?
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need EMs for all the leading EW searches --> recasting
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IDM scenario : add EMs for TChiZ topology from EW SUSY (chargino, neutralino, slepton) and Higgs->inv analyses; can we cover the low mass region with prompt decays?
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Implement joint likelihoods in SModelS (add feature for analyses correlation matrix)
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Get likelihoods from individual analyses as function of signal strength
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how to build a combined likelihood function to be accessed after theory predictions?
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introduce likelihood object
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Numerical maximization of "heterogeneous" joint likelihoods
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Copula functions may be used to model correlations between analyses
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Generalize statistical procedure to deal with multiple signal strengths
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Aggregation algorithms
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Set small correlations to zero:
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do we gain in CPU performance?
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try to split off SRs with small correlations from large covariance matrix to get a smaller cov.M times product of approx. uncorrelated likelihoods
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up to what size may one neglect correlations before loosing in precision?
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try different types of distance measures (min, max, mean) between sets of SRs
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think about using Fisher information for aggregation
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generalize from symmetric to asymmetric uncertainties (variable Gaussian approach, cf Lilith)
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