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CMS-SUS-15-010 ; CERN-EP-2016-094
Phenomenological MSSM interpretation of CMS searches in pp collisions at $\sqrt{s}= $ 7 and 8 TeV
JHEP 10 (2016) 129
Abstract: Searches for new physics by the CMS collaboration are interpreted in the framework of the phenomenological minimal supersymmetric standard model (pMSSM). The data samples used in this study were collected at $\sqrt{s} = $ 7 and 8 TeV and have integrated luminosities of 5.0 fb$^{-1}$ and 19.5 fb$^{-1}$, respectively. A global Bayesian analysis is performed, incorporating results from a broad range of CMS supersymmetry searches, as well as constraints from other experiments. Because the pMSSM incorporates several well-motivated assumptions that reduce the 120 parameters of the MSSM to just 19 parameters defined at the electroweak scale, it is possible to assess the results of the study in a relatively straightforward way. Approximately half of the model points in a potentially accessible subspace of the pMSSM are excluded, including all pMSSM model points with a gluino mass below 500 GeV, as well as models with a squark mass less than 300 GeV. Models with chargino and neutralino masses below 200 GeV are disfavored, but no mass range of model points can be ruled out based on the analyses considered. The nonexcluded regions in the pMSSM parameter space are characterized in terms of physical processes and key observables, and implications for future searches are discussed.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1-a:
The distribution of the $Z$-significance of model points, weighted by the non-DCS prior density of each model point, for the individual 8 TeV searches (a-d), and for 7 TeV combined and 7+8 TeV combined searches (f). The leftmost bins contain the underflow entries.

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Figure 1-b:
The distribution of the $Z$-significance of model points, weighted by the non-DCS prior density of each model point, for the individual 8 TeV searches (a-d), and for 7 TeV combined and 7+8 TeV combined searches (f). The leftmost bins contain the underflow entries.

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Figure 1-c:
The distribution of the $Z$-significance of model points, weighted by the non-DCS prior density of each model point, for the individual 8 TeV searches (a-d), and for 7 TeV combined and 7+8 TeV combined searches (f). The leftmost bins contain the underflow entries.

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Figure 1-d:
The distribution of the $Z$-significance of model points, weighted by the non-DCS prior density of each model point, for the individual 8 TeV searches (a-d), and for 7 TeV combined and 7+8 TeV combined searches (f). The leftmost bins contain the underflow entries.

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Figure 2-a:
A summary of the impact of CMS searches on the probability density of the gluino mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the gluino mass (blue filled histograms) to posterior distributions after data from various CMS searches (line histograms), where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the gluino mass for various combinations of CMS data and data from Higgs boson measurements, where the shaded grey band gives the statistical uncertainty on the black histogram. Plot (f) shows the distribution of the gluino mass versus the $Z$-significance calculated from the combination of all searches.

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Figure 2-b:
A summary of the impact of CMS searches on the probability density of the gluino mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the gluino mass (blue filled histograms) to posterior distributions after data from various CMS searches (line histograms), where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the gluino mass for various combinations of CMS data and data from Higgs boson measurements, where the shaded grey band gives the statistical uncertainty on the black histogram. Plot (f) shows the distribution of the gluino mass versus the $Z$-significance calculated from the combination of all searches.

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Figure 2-c:
A summary of the impact of CMS searches on the probability density of the gluino mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the gluino mass (blue filled histograms) to posterior distributions after data from various CMS searches (line histograms), where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the gluino mass for various combinations of CMS data and data from Higgs boson measurements, where the shaded grey band gives the statistical uncertainty on the black histogram. Plot (f) shows the distribution of the gluino mass versus the $Z$-significance calculated from the combination of all searches.

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Figure 2-d:
A summary of the impact of CMS searches on the probability density of the gluino mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the gluino mass (blue filled histograms) to posterior distributions after data from various CMS searches (line histograms), where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the gluino mass for various combinations of CMS data and data from Higgs boson measurements, where the shaded grey band gives the statistical uncertainty on the black histogram. Plot (f) shows the distribution of the gluino mass versus the $Z$-significance calculated from the combination of all searches.

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Figure 2-e:
A summary of the impact of CMS searches on the probability density of the gluino mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the gluino mass (blue filled histograms) to posterior distributions after data from various CMS searches (line histograms), where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the gluino mass for various combinations of CMS data and data from Higgs boson measurements, where the shaded grey band gives the statistical uncertainty on the black histogram. Plot (f) shows the distribution of the gluino mass versus the $Z$-significance calculated from the combination of all searches.

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Figure 2-f:
A summary of the impact of CMS searches on the probability density of the gluino mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the gluino mass (blue filled histograms) to posterior distributions after data from various CMS searches (line histograms), where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the gluino mass for various combinations of CMS data and data from Higgs boson measurements, where the shaded grey band gives the statistical uncertainty on the black histogram. Plot (f) shows the distribution of the gluino mass versus the $Z$-significance calculated from the combination of all searches.

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Figure 3-a:
A summary of the impact of CMS searches on the probability density of the $\mathrm{ \tilde{u}_L } $ mass (equivalently, the $ \mathrm{ \tilde{c}_L } $ mass) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\mathrm{ \tilde{u}_L } $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\mathrm{ \tilde{u}_L } $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\mathrm{ \tilde{u}_L } $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 3-b:
A summary of the impact of CMS searches on the probability density of the $\mathrm{ \tilde{u}_L } $ mass (equivalently, the $ \mathrm{ \tilde{c}_L } $ mass) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\mathrm{ \tilde{u}_L } $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\mathrm{ \tilde{u}_L } $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\mathrm{ \tilde{u}_L } $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 3-c:
A summary of the impact of CMS searches on the probability density of the $\mathrm{ \tilde{u}_L } $ mass (equivalently, the $ \mathrm{ \tilde{c}_L } $ mass) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\mathrm{ \tilde{u}_L } $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\mathrm{ \tilde{u}_L } $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\mathrm{ \tilde{u}_L } $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 3-d:
A summary of the impact of CMS searches on the probability density of the $\mathrm{ \tilde{u}_L } $ mass (equivalently, the $ \mathrm{ \tilde{c}_L } $ mass) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\mathrm{ \tilde{u}_L } $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\mathrm{ \tilde{u}_L } $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\mathrm{ \tilde{u}_L } $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 3-e:
A summary of the impact of CMS searches on the probability density of the $\mathrm{ \tilde{u}_L } $ mass (equivalently, the $ \mathrm{ \tilde{c}_L } $ mass) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\mathrm{ \tilde{u}_L } $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\mathrm{ \tilde{u}_L } $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\mathrm{ \tilde{u}_L } $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 3-f:
A summary of the impact of CMS searches on the probability density of the $\mathrm{ \tilde{u}_L } $ mass (equivalently, the $ \mathrm{ \tilde{c}_L } $ mass) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\mathrm{ \tilde{u}_L } $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\mathrm{ \tilde{u}_L } $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\mathrm{ \tilde{u}_L } $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 4-a:
A summary of the impact of CMS searches on the probability density of the mass of the lightest colored SUSY particle (LCSP) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LCSP mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LCSP mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LCSP mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 4-b:
A summary of the impact of CMS searches on the probability density of the mass of the lightest colored SUSY particle (LCSP) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LCSP mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LCSP mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LCSP mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 4-c:
A summary of the impact of CMS searches on the probability density of the mass of the lightest colored SUSY particle (LCSP) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LCSP mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LCSP mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LCSP mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 4-d:
A summary of the impact of CMS searches on the probability density of the mass of the lightest colored SUSY particle (LCSP) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LCSP mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LCSP mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LCSP mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 4-e:
A summary of the impact of CMS searches on the probability density of the mass of the lightest colored SUSY particle (LCSP) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LCSP mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LCSP mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LCSP mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 4-f:
A summary of the impact of CMS searches on the probability density of the mass of the lightest colored SUSY particle (LCSP) in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LCSP mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LCSP mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LCSP mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 5-a:
A summary of the impact of CMS searches on the probability density of the $\tilde{ mathrm{ t } } _1$ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{ mathrm{ t } } _1$ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{ mathrm{ t } } _1$ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{ mathrm{ t } } _1$ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 5-b:
A summary of the impact of CMS searches on the probability density of the $\tilde{ mathrm{ t } } _1$ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{ mathrm{ t } } _1$ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{ mathrm{ t } } _1$ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{ mathrm{ t } } _1$ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 5-c:
A summary of the impact of CMS searches on the probability density of the $\tilde{ mathrm{ t } } _1$ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{ mathrm{ t } } _1$ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{ mathrm{ t } } _1$ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{ mathrm{ t } } _1$ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 5-d:
A summary of the impact of CMS searches on the probability density of the $\tilde{ mathrm{ t } } _1$ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{ mathrm{ t } } _1$ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{ mathrm{ t } } _1$ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{ mathrm{ t } } _1$ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 5-e:
A summary of the impact of CMS searches on the probability density of the $\tilde{ mathrm{ t } } _1$ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{ mathrm{ t } } _1$ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{ mathrm{ t } } _1$ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{ mathrm{ t } } _1$ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 5-f:
A summary of the impact of CMS searches on the probability density of the $\tilde{ mathrm{ t } } _1$ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{ mathrm{ t } } _1$ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{ mathrm{ t } } _1$ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{ mathrm{ t } } _1$ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 6-a:
A summary of the impact of CMS searches on the probability density of the $\tilde{\chi}^0_1 $ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{\chi}^0_1 $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{\chi}^0_1 $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{\chi}^0_1 $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 6-b:
A summary of the impact of CMS searches on the probability density of the $\tilde{\chi}^0_1 $ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{\chi}^0_1 $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{\chi}^0_1 $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{\chi}^0_1 $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 6-c:
A summary of the impact of CMS searches on the probability density of the $\tilde{\chi}^0_1 $ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{\chi}^0_1 $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{\chi}^0_1 $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{\chi}^0_1 $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 6-d:
A summary of the impact of CMS searches on the probability density of the $\tilde{\chi}^0_1 $ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{\chi}^0_1 $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{\chi}^0_1 $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{\chi}^0_1 $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 6-e:
A summary of the impact of CMS searches on the probability density of the $\tilde{\chi}^0_1 $ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{\chi}^0_1 $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{\chi}^0_1 $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{\chi}^0_1 $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 6-f:
A summary of the impact of CMS searches on the probability density of the $\tilde{\chi}^0_1 $ mass in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\tilde{\chi}^0_1 $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\tilde{\chi}^0_1 $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\tilde{\chi}^0_1 $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 7-a:
A summary of the impact of CMS searches on the probability density of the mass of the lightest non-degenerate (LND) chargino in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LND $\tilde{\chi}^{\pm} $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LND $\tilde{\chi}^{\pm} $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LND $\tilde{\chi}^{\pm} $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 7-b:
A summary of the impact of CMS searches on the probability density of the mass of the lightest non-degenerate (LND) chargino in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LND $\tilde{\chi}^{\pm} $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LND $\tilde{\chi}^{\pm} $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LND $\tilde{\chi}^{\pm} $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 7-c:
A summary of the impact of CMS searches on the probability density of the mass of the lightest non-degenerate (LND) chargino in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LND $\tilde{\chi}^{\pm} $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LND $\tilde{\chi}^{\pm} $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LND $\tilde{\chi}^{\pm} $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 7-d:
A summary of the impact of CMS searches on the probability density of the mass of the lightest non-degenerate (LND) chargino in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LND $\tilde{\chi}^{\pm} $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LND $\tilde{\chi}^{\pm} $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LND $\tilde{\chi}^{\pm} $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 7-e:
A summary of the impact of CMS searches on the probability density of the mass of the lightest non-degenerate (LND) chargino in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LND $\tilde{\chi}^{\pm} $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LND $\tilde{\chi}^{\pm} $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LND $\tilde{\chi}^{\pm} $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 7-f:
A summary of the impact of CMS searches on the probability density of the mass of the lightest non-degenerate (LND) chargino in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the LND $\tilde{\chi}^{\pm} $ mass to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the LND $\tilde{\chi}^{\pm} $ mass for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the LND $\tilde{\chi}^{\pm} $ mass versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading.

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Figure 8-a:
A summary of the impact of CMS searches on the probability density of the logarithm of the cross section for inclusive sparticle production in 8 TeV pp collisions, $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$, in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading. In plot (bottom left), the apparent enhancement of the left tail of the posterior density with respect to the prior is due to the suppression of the right tail and an overall renormalization.

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Figure 8-b:
A summary of the impact of CMS searches on the probability density of the logarithm of the cross section for inclusive sparticle production in 8 TeV pp collisions, $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$, in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading. In plot (bottom left), the apparent enhancement of the left tail of the posterior density with respect to the prior is due to the suppression of the right tail and an overall renormalization.

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Figure 8-c:
A summary of the impact of CMS searches on the probability density of the logarithm of the cross section for inclusive sparticle production in 8 TeV pp collisions, $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$, in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading. In plot (bottom left), the apparent enhancement of the left tail of the posterior density with respect to the prior is due to the suppression of the right tail and an overall renormalization.

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Figure 8-d:
A summary of the impact of CMS searches on the probability density of the logarithm of the cross section for inclusive sparticle production in 8 TeV pp collisions, $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$, in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading. In plot (bottom left), the apparent enhancement of the left tail of the posterior density with respect to the prior is due to the suppression of the right tail and an overall renormalization.

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Figure 8-e:
A summary of the impact of CMS searches on the probability density of the logarithm of the cross section for inclusive sparticle production in 8 TeV pp collisions, $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$, in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading. In plot (bottom left), the apparent enhancement of the left tail of the posterior density with respect to the prior is due to the suppression of the right tail and an overall renormalization.

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Figure 8-f:
A summary of the impact of CMS searches on the probability density of the logarithm of the cross section for inclusive sparticle production in 8 TeV pp collisions, $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$, in the pMSSM parameter space. Plots (a-d) compare the non-DCS prior distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ to posterior distributions after data from various CMS searches, where plot (d) shows the combined effect of CMS searches and the Higgs boson results. Plot (e) shows survival probabilities as a function of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ for various combinations of CMS data and data from Higgs boson measurements. Plot (f) shows the distribution of the $\log_{10}(\sigma ^{8\ \text{TeV} }_\mathrm {SUSY})$ versus the $Z$-significance calculated from the combination of all searches. See Fig. 2 for a description of the shading. In plot (bottom left), the apparent enhancement of the left tail of the posterior density with respect to the prior is due to the suppression of the right tail and an overall renormalization.

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Figure 9-a:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 9-b:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 9-c:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 9-d:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 9-e:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 9-f:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 9-g:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 9-h:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 9-i:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for the $\mathrm{ \tilde{u}_R }, {\mathrm{ \tilde{c} } _\mathrm {R}} $ mass, $\tilde{ mathrm{ b } }_1 $ mass, $\mathrm{ \tilde{e}_L } , {\tilde{\mu} _\mathrm {L}} $ mass, $ {\tilde{\tau} _1} $ mass, $\tilde{\chi}^0 _2$ mass, $\tilde{\chi}^{\pm} $ mass, the higgsino mass parameter $\mu $, $\tan\beta$, and A mass.

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Figure 10-a:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for $\Omega _{\tilde{\chi}^0 _{1}}$, $\xi \sigma ^{\text {SD}}(p \tilde{\chi}^0_1 )$, and $\xi \sigma ^{\text {SI}}(p \tilde{\chi}^0_1 )$.

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Figure 10-b:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for $\Omega _{\tilde{\chi}^0 _{1}}$, $\xi \sigma ^{\text {SD}}(p \tilde{\chi}^0_1 )$, and $\xi \sigma ^{\text {SI}}(p \tilde{\chi}^0_1 )$.

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Figure 10-c:
Comparison of prior and posterior distributions after several combinations of data from the CMS searches for $\Omega _{\tilde{\chi}^0 _{1}}$, $\xi \sigma ^{\text {SD}}(p \tilde{\chi}^0_1 )$, and $\xi \sigma ^{\text {SI}}(p \tilde{\chi}^0_1 )$.

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Figure 11-a:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-b:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-c:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-d:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-e:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-f:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-g:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-h:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-i:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-j:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-k:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 11-l:
Marginalized non-DCS distributions (first column), compared with posterior distributions (second column) and survival probabilities (third column) after inclusion of the considered CMS searches, are shown for the $\tilde{\chi}^0_1 $ mass versus gluino mass (first row), the LCSP mass (second row), the top squark mass (third row), and the logarithm of the cross section for inclusive sparticle production at 8 TeV (bottom row).

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Figure 12-a:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-b:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-c:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-d:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-e:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-f:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-g:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-h:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-i:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-j:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-k:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 12-l:
The twelve most common principal processes in the pMSSM, listed in order of their frequency before the constraints of the CMS searches. Both on-shell and off-shell states are included. Indices of particle charge, flavor, and chirality are ignored in the construction, with the exception of the flavor of the third-generation squarks and quarks. Asterisks in the labels indicate where process names involving long decay chains have been abbreviated.

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Figure 13-a:
The left plot shows the fraction of excluded (dark) and nonexcluded (light) points out of all considered points, by principal process. Color is assigned to the processes that are most common after the constraints of the CMS searches, which are selected for further study. The dominance of principal processes, as defined in Eq. {eq:dominance}, is given in (right) where the bands show the RMS range of the dominance.

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Figure 13-b:
The left plot shows the fraction of excluded (dark) and nonexcluded (light) points out of all considered points, by principal process. Color is assigned to the processes that are most common after the constraints of the CMS searches, which are selected for further study. The dominance of principal processes, as defined in Eq. {eq:dominance}, is given in (right) where the bands show the RMS range of the dominance.

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Figure 14:
A parallel coordinates plot showing several hundred selected nonexcluded model points for the six most common principal processes, with seven key properties. From the left, the selected properties are: the principal process, the 8 TeV signal production cross section (in $\log_{\text {10}}$ scale), the average value of the ${E_{\mathrm {T}}^{\text {miss}}} $, the average number of b-jets, leptons, and jets, and finally, the average ${p_{\mathrm {T}}}$ momentum of the leading jet. Color is assigned based on the principal process. Orange codes for process 1, blue for process 2, green for 3, red for 4, violet for 7, and cyan for 10. The range of each axis is given at its lower and upper end. Lines arching toward higher vertical positions typically indicate more ``discoverable'' scenarios.

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Figure 15:
A parallel coordinates plot of the nonexcluded pMSSM points with the axes set as the principal process, the average ${E_{\mathrm {T}}^{\text {miss}}} $ (in GeV), and the fiducial cross section (in linear scale) for various thresholds on the ${E_{\mathrm {T}}^{\text {miss}}} $. All nonexcluded points corresponding to processes 1, 2, 3, 4, 7, and 10 that have a fiducial cross section greater than 100 fb are shown. Color is assigned to values of the principal process in the same manner as in Fig. 14.

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Figure 16:
A parallel coordinates plot of the nonexcluded pMSSM points with the axes set as the principal process, the average ${H_{\mathrm {T}}} $ (in GeV), and the fiducial cross section (in linear scale) for various thresholds on the ${H_{\mathrm {T}}} $. All nonexcluded points corresponding to processes 1, 2, 3, 4, 7, and 10 that have a fiducial cross section greater than 60 fb are shown. Color is assigned to values of the principal process in the same manner as in Fig. 14.

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Figure 17:
A parallel coordinates plot of the nonexcluded pMSSM points with the axes set as the principal process and the fiducial cross section (in linear scale) for various thresholds on the sub-leading lepton ${p_{\mathrm {T}}}$ (in GeV). All nonexcluded points corresponding to processes 1, 2, 3, 4, 7, and 10 that have a fiducial cross section greater than 30 fb are shown. Color is assigned to values of the principal process in the same manner as in Fig. 14.
Tables

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Table 1:
The measurements that form the basis of the non-DCS prior $p^{\textrm {non-DCS}}(\theta )$ for the pMSSM parameters, their observed values and likelihoods. The observables are the decay branching fractions $\mathcal {B}( \mathrm{ b } \to \mathrm{s} \gamma )$ and $\mathcal {B}(\mathrm{B_s} \to \mu \mu )$, the SUSY to SM ratio for the branching fraction of the decay $\mathrm{B} \to \tau \nu $, $R(\mathrm{B} \to \tau \nu )$, the difference in the muon anomolous magnetic moment from its SM prediction $\Delta a_\mu $, the strong coupling constant at the Z boson mass $\alpha _\mathrm {s}(m_{\mathrm{ Z } })$, the top and bottom quark masses $m_{\mathrm{ t } }$ and $m_{\mathrm{ b } }(m_{\mathrm{ b } })$, the Higgs boson mass $m_{\mathrm{h} }$ and signal strength $\mu _{\mathrm{h} }$, and sparticle mass limits from LEP. All data except $\mu _{\mathrm{h} }$ were used in the initial MCMC scan. Details are given in the text.

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Table 2:
The CMS analyses considered in this study. Each row gives the analysis description, the center-of-mass energy at which data were collected, the associated integrated luminosity, the likelihood used, and the reference to the analysis documentation.
Summary
The impact of a representative set of the 7 and 8 TeV CMS SUSY searches on a potentially accessible subspace of the minimal supersymmetric standard model (pMSSM) has been investigated. The subspace of the pMSSM is defined by restricting the ranges of the 19 pMSSM parameters to values that are either physically motivated or that correspond to models that are potentially accessible in the long-term LHC program. An additional restriction is imposed that the lightest chargino decay promptly or with a lifetime that leads to at most a short decay length in the detector. The set of searches, taken individually and in combination, include those with all-hadronic final states, like-sign and opposite-sign charged leptons, and multiple leptons in configurations sensitive to electroweak production of superpartner particles. They are found to exclude all analyzed pMSSM points with a gluino mass less than 500 GeV, and 98% of scenarios in which the lightest colored supersymmetric particle is less than 300 GeV. While the sensitivity of searches to top squarks extends up to $m_{\tilde{\text{t}}_1}\approx$ 700 GeV, the overall impact on the top squark mass is small because the region of highest sensitivity, $m_{\tilde{\text{t}}_1} \leq$ 500 GeV, is already suppressed by the results of previous experiments, such as the measurement of the $\mathrm{ b }\to\mathrm{s}\gamma$ branching fraction. Neutralino and chargino masses less than $300 GeV$ are significantly disfavored, but not ruled out, by the CMS data. Measurements of the Higgs boson mass and signal strengths are included in this study, but add little to the model constraints.

Approximately half of this potentially-accessible subspace of the pMSSM is excluded by the CMS data. Of the surviving points, about half have cross sections greater than 10 fb, and some have cross sections greater than 1 pb. Most high cross section points correspond to electroweak gaugino production with mass splittings between the second-lightest and the lightest SUSY particle less than 3 GeV. Nonexcluded model points with low-mass gluinos correspond to processes involving intermediate electroweak gauginos that are nearly degenerate with the lightest SUSY particle. The surviving points evade the experimental constraints largely because they overlap with the kinematical parameter space of more copiously produced standard model processes. Some of these may be probed by future searches that target the nonexcluded processes detailed in Section 5, benefiting as well from the higher energy and luminosity of the LHC.
References
1 P. Ramond Dual theory for free fermions PRD 3 (1971) 2415
2 \relax Yu. A. Gol'fand and E. P. Likhtman Extension of the algebra of Poincar$ \'e $ group generators and violation of P invariance JEPTL 13 (1971)323
3 D. V. Volkov and V. P. Akulov Possible universal neutrino interaction JEPTL 16 (1972)438
4 J. Wess and B. Zumino Supergauge transformations in four-dimensions Nucl. Phys. B 70 (1974) 39
5 P. Fayet Supergauge invariant extension of the Higgs mechanism and a model for the electron and its neutrino Nucl. Phys. B 90 (1975) 104
6 D. J. H. Chung et al. The soft supersymmetry breaking Lagrangian: theory and applications PR 407 (2005) 1 hep-ph/0312378
7 ATLAS Collaboration Summary of the searches for squarks and gluinos using $ \sqrt{s} = $ 8 TeV pp collisions with the ATLAS experiment at the LHC JHEP 10 (2015) 054 1507.05525
8 CMS Collaboration Search for new physics in the multijet and missing transverse momentum final state in proton-proton collisions at $ \sqrt{s} = $ 7 TeV PRL 109 (2012) 171803 CMS-SUS-12-011
1207.1898
9 CMS Collaboration Search for supersymmetry in events with b-quark jets and missing transverse energy in pp collisions at 7$ TeV $ PRD 86 (2012) 072010 CMS-SUS-12-003
1208.4859
10 CMS Collaboration Search for electroweak production of charginos and neutralinos using leptonic final states in pp collisions at $ \sqrt{s} = $ 7 TeV JHEP 11 (2012) 147 CMS-SUS-12-006
1209.6620
11 CMS Collaboration Search for new physics in the multijet and missing transverse momentum final state in proton-proton collisions at $ \sqrt{s} = $ 8 TeV JHEP 06 (2014) 055 CMS-SUS-13-012
1402.4770
12 CMS Collaboration Search for supersymmetry in hadronic final states using MT2 in pp collisions at $ \sqrt{s} = $ 7 TeV JHEP 10 (2012) 018 CMS-SUS-12-002
1207.1798
13 CMS Collaboration Search for gluino mediated bottom- and top-squark production in multijet final states in pp collisions at 8$ TeV $ PLB 725 (2013) 243 CMS-SUS-12-024
1305.2390
14 CMS Collaboration Search for dark matter, extra dimensions, and unparticles in monojet events in proton-proton collisions at $ \sqrt{s} = $ 8 TeV EPJC 75 (2015) 235 CMS-EXO-12-048
1408.3583
15 CMS Collaboration Searches for third-generation squark production in fully hadronic final states in proton-proton collisions at $ \sqrt{s} = $ 8 TeV JHEP 06 (2015) 116 CMS-SUS-14-001
1503.08037
16 CMS Collaboration Search for physics beyond the standard model in events with two leptons, jets, and missing transverse momentum in pp collisions at $ \sqrt{s} = $ 8 TeV JHEP 04 (2015) 124 CMS-SUS-14-014
1502.06031
17 CMS Collaboration Search for new physics in events with same-sign dileptons and jets in pp collisions at $ \sqrt{s} $ = 8 TeV JHEP 01 (2014) 163, , Erratum: \DOI10.1007/JHEP01(2015)014 CMS-SUS-13-013
1311.6736
18 CMS Collaboration Searches for electroweak production of charginos, neutralinos, and sleptons decaying to leptons and W, Z, and Higgs bosons in pp collisions at 8$ TeV $ EPJC 74 (2014) 3036 CMS-SUS-13-006
1405.7570
19 A. H. Chamseddine, R. L. Arnowitt, and P. Nath Locally supersymmetric grand unification PRL 49 (1982) 970
20 R. Barbieri, S. Ferrara, and C. A. Savoy Gauge models with spontaneously broken local supersymmetry PLB 119 (1982) 343
21 L. E. Ibanez Locally supersymmetric SU(5) grand unification PLB 118 (1982) 73
22 L. J. Hall, J. D. Lykken, and S. Weinberg Supergravity as the messenger of supersymmetry breaking PRD 27 (1983) 2359
23 P. Nath Twenty years of SUGRA in Beyond the desert. Proceedings, 4th International Conference, Particle physics beyond the standard model, BEYOND 2003, Castle Ringberg, Tegernsee, Germany, June 9-14, 2003, p. 3 2003 hep-ph/0307123
24 G. L. Kane, C. F. Kolda, L. Roszkowski, and J. D. Wells Study of constrained minimal supersymmetry PRD 49 (1994) 6173 hep-ph/9312272
25 H. Baer et al. Multichannel search for minimal supergravity at $ \mathrm{ p \bar{p} } $ and $ \mathrm{ e^{+} e^{-} } $ colliders PRD 51 (1995) 1046 hep-ph/9408265
26 J. Alwall, P. Schuster, and N. Toro Simplified models for a first characterization of new physics at the LHC PRD 79 (2009) 075020 0810.3921
27 LHC New Physics Working Group Simplified models for LHC new physics searches JPG 39 (2012) 105005 1105.2838
28 CMS Collaboration Interpretation of searches for supersymmetry with simplified models PRD 88 (2013) 052017 CMS-SUS-11-016
1301.2175
29 MSSM Working Group The minimal supersymmetric standard model: group summary report in GDR (Groupement De Recherche) - Supersym\'etrie Montpellier, France, April 15-17, 1998 1998 hep-ph/9901246
30 G. R. Farrar and S. Weinberg Supersymmetry at ordinary energies. 2. R invariance, Goldstone bosons, and gauge fermion masses PRD 27 (1983) 2732
31 CMS Collaboration The fast simulation of the CMS detector at LHC J. Phys. Conf. Ser. 331 (2011) 032049
32 CMS Collaboration Validation and tuning of the CMS full simulation J. Phys. Conf. Ser. 331 (2011) 032015
33 C. P. Robert The Bayesian choice: from decision-theoretic foundations to computational implementation Springer Verlag, New York, 2nd edition
34 A. O'Hagan Bayesian inference volume 2B of Kendall's Advanced Theory of Statistics Edward Arnold, London
35 S. Sekmen et al. Interpreting LHC SUSY searches in the phenomenological MSSM JHEP 02 (2012) 075 1109.5119
36 CMS Collaboration Search for supersymmetry at the LHC in events with Jets and missing transverse energy PRL 107 (2011) 221804 CMS-SUS-11-003
1109.2352
37 CMS Collaboration Search for new physics with same-sign isolated dilepton events with jets and missing transverse energy PRL 109 (2012) 071803 CMS-SUS-11-010
1205.6615
38 CMS Collaboration Search for new physics in events with opposite-sign leptons, jets, and missing transverse energy in pp collisions at $ \sqrt{s} = $ 7 TeV PLB 718 (2013) 815 CMS-SUS-11-011
1206.3949
39 ATLAS Collaboration Summary of the ATLAS experiment's sensitivity to supersymmetry after LHC Run 1 -- interpreted in the phenomenological MSSM JHEP 10 (2015) 134 1508.06608
40 C. R. Das and M. K. Parida New formulas and predictions for running fermion masses at higher scales in SM, 2 HDM, and MSSM EPJC 20 (2001) 121 hep-ph/0010004
41 A. A. Markov Extension of the limit theorems of probability theory to a sum of variables connected in a chain reprinted in Appendix B of: R. Howard, \it Dynamic Probabilistic Systems, volume 1: Markov Chains, John Wiley and Sons
42 N. Metropolis et al. Equation of state calculations by fast computing machines J. Chem. Phys 21 (1953) 1087
43 W. K. Hastings Monte Carlo sampling methods using Markov chains and their applications Biometrika 57 (1970) 97
44 B. A. Berg Markov chain Monte Carlo simulations and their statistical analysis World Scientific, Singapore
45 Heavy Flavor Averaging Group (HFAG) Collaboration Averages of b-hadron, c-hadron, and $ \tau $-lepton properties as of summer 2014 1412.7515
46 LHCb and CMS Collaborations Observation of the rare $ \mathrm{B_{s}}^0\rightarrow\mu^+\mu^- $ decay from the combined analysis of CMS and LHCb data Nature 522 (2015) 68 CMS-BPH-13-007
1411.4413
47 K. Hagiwara et al. $ (g-2)_{\mu} $ and $ \alpha(M_Z^2) $ re-evaluated using new precise data JPG 38 (2011) 085003 1105.3149
48 Particle Data Group, K. A. Olive et al. Review of Particle Physics CPC 38 (2014) 090001
49 Tevatron Electroweak Working Group, CDF and D0 Collaborations Combination of CDF and D0 results on the mass of the top quark using up to 8.7 fb$ ^{-1} $ at the Tevatron 1305.3929
50 J. Bernon, B. Dumont, and S. Kraml Status of Higgs couplings after run 1 of the LHC PRD 90 (2014) 071301 1409.1588
51 J. Bernon and B. Dumont Lilith: a tool for constraining new physics from Higgs measurements EPJC 75 (2015), no. 9, 440 1502.04138
Compact Muon Solenoid
LHC, CERN