Bayesian Implications of Current LHC Supersymmetry and Dark Matter Detection Searches for the Constrained MSSM

Enrico Maria Sessolo; Leszek Roszkowski; Warsaw); Yue-Lin Sming Tsai (NCBJ

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Bayesian Implications of Current LHC Supersymmetry and Dark Matter Detection Searches for the Constrained MSSM

Leszek Roszkowski, Enrico Maria Sessolo, Yue-Lin Sming Tsai (NCBJ, Warsaw)

High Energy Physics - Phenomenology · Submitted 7 Feb 2012

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The authors' main claim While we confirm earlier conclusions that at present LHC limits provide the strongest constraints on the model's parameters, we also find that when the uncertainties are not treated in an excessively conservative way, the new bounds from dwarf spheroidal have the power to significantly constrain the focus point/hyperbolic branch region.

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arXiv ID1202.1503 (version 3)

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CitationEnrico Maria Sessolo, Leszek Roszkowski, Warsaw), Yue-Lin Sming Tsai (NCBJ. "Bayesian Implications of Current LHC Supersymmetry and Dark Matter Detection Searches for the Constrained MSSM." arXiv:1202.1503 (2012). https://pith.science/paper/3SDU2CLS

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We investigate the impact of recent limits from LHC searches for supersymmetry and from direct and indirect searches for dark matter on global Bayesian inferences of the parameter space of the Constrained Minimal Supersymmetric Standard Model (CMSSM). In particular we apply recent exclusion limits from the CMS \alpha_T analysis of 1.1/fb of integrated luminosity, the current direct detection dark matter limit from XENON100, as well as recent experimental constraints on \gamma-ray fluxes from dwarf spheroidal satellite galaxies of the Milky Way from the FermiLAT telescope, in addition to updating values for other non-LHC experimental constraints. We extend the range of scanned parameters to include a significant fraction of the focus point/hyperbolic branch region. While we confirm earlier conclusions that at present LHC limits provide the strongest constraints on the model's parameters, we also find that when the uncertainties are not treated in an excessively conservative way, the new bounds from dwarf spheroidal have the power to significantly constrain the focus point/hyperbolic branch region. Their effect is then comparable, if not stronger, to that from XENON100. We further analyze the effects of one-year projected sensitivities on the neutrino flux from the Sun in the 86-string IceCube+DeepCore configuration at the South Pole. We show that data on neutrinos from the Sun, expected for the next few months at IceCube and DeepCore, have the potential to further constrain the same region of parameter space independently of the LHC and can yield additional investigating power for the model.

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What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	We investigate the impact of recent limits from LHC searches for supersymmetry and from direct and indirect searches for dark matter on global Bayesian inferences of the parameter space of the Constrained Minimal Supersymmetric Standard Model (CMSSM).	contribution 1.00	0.88	0.07	asserted 0.62
s1	In particular we apply recent exclusion limits from the CMS \alpha_T analysis of 1.1/fb of integrated luminosity, the current direct detection dark matter limit from XENON100, as well as recent experimental constraints on \gamma-ray fluxes from dwarf spheroidal satellite galaxies of the Milky Way from the FermiLAT telescope, in addition to updating values for other non-LHC experimental constraints.	method 0.96	0.61	0.03	asserted 0.97
s2	We extend the range of scanned parameters to include a significant fraction of the focus point/hyperbolic branch region.	method 0.68	0.93	0.03	asserted 0.99
s3	While we confirm earlier conclusions that at present LHC limits provide the strongest constraints on the model's parameters, we also find that when the uncertainties are not treated in an excessively conservative way, the new bounds from dwarf spheroidal have the power to significantly constrain the focus point/hyperbolic branch region.	result 0.90	0.92	0.55	asserted 0.91
s4	Their effect is then comparable, if not stronger, to that from XENON100.	result 0.85	0.86	0.13	asserted 0.93
s5	We further analyze the effects of one-year projected sensitivities on the neutrino flux from the Sun in the 86-string IceCube+DeepCore configuration at the South Pole.	contribution 0.85	0.83	0.03	asserted 0.83
s6	We show that data on neutrinos from the Sun, expected for the next few months at IceCube and DeepCore, have the potential to further constrain the same region of parameter space independently of the LHC and can yield additional investigating power for the model.	result 0.86	0.82	0.13	hedged possibility 0.75

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Original abstract

We investigate the impact of recent limits from LHC searches for supersymmetry and from direct and indirect searches for dark matter on global Bayesian inferences of the parameter space of the Constrained Minimal Supersymmetric Standard Model (CMSSM). In particular we apply recent exclusion limits from the CMS \alpha_T analysis of 1.1/fb of integrated luminosity, the current direct detection dark matter limit from XENON100, as well as recent experimental constraints on \gamma-ray fluxes from dwarf spheroidal satellite galaxies of the Milky Way from the FermiLAT telescope, in addition to updating values for other non-LHC experimental constraints. We extend the range of scanned parameters to include a significant fraction of the focus point/hyperbolic branch region. While we confirm earlier conclusions that at present LHC limits provide the strongest constraints on the model's parameters, we also find that when the uncertainties are not treated in an excessively conservative way, the new bounds from dwarf spheroidal have the power to significantly constrain the focus point/hyperbolic branch region. Their effect is then comparable, if not stronger, to that from XENON100. We further analyze the effects of one-year projected sensitivities on the neutrino flux from the Sun in the 86-string IceCube+DeepCore configuration at the South Pole. We show that data on neutrinos from the Sun, expected for the next few months at IceCube and DeepCore, have the potential to further constrain the same region of parameter space independently of the LHC and can yield additional investigating power for the model.

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Cited by 13 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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How the literature uses it

29 arXiv papers cite this in 49 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 21 sentences without a confident label

Uses its method or tool 7 papers

We follow the procedure outlined in detail in Refs. [ref] .

Two ultimate tests of constrained supersymmetry · Scanning Methodology and Constraints · 0.99
Since each limit was obtained by assuming the dominance by one single channel, we can approximately reconstruct the upper limit suitable to our case by applying the same method as in Sec. 4.1 of [ref] .

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We follow the procedure outlined in detail in our previous papers [ref] , of which we give a short summary here.

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The non-observation of gamma rays from DM annihilation in the nearby dwarf galaxies [ref] has been used to place constraints on the DM particle mass $m_χ≳40$ GeV, for neutralino annihilation to the $b b̅$ channel with a velocity-independent cross section $=$ 1 pb$×$c, although these bounds would be relaxed with a more general analysis including the velocity-dependent contributions [ref] .

Dark matter and Higgs bosons in the MSSM · Introduction · 0.82

Compares with it 2 papers

Most notably, the high probability mode which, in that paper and in Ref. [ref] , was spread over the focus point (FP)/hyperbolic branch (HB) region at large and $≪$, has now moved up to the $A$-funnel region.

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Technically, the methods employed to obtain the results presented in this paper differ in various aspects from our previous studies [ref] and from those used in other global fits with LHC exclusions [ref] .

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[ref] ), typically within the context of a global fitting analysis [ref] .

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In the Bayesian approach model selection is based on the Bayes factor, and requires comparison to alternative hypotheses [ref] .

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Since then, several publications have studied the impact of a Higgs boson in the 125 GeV range on the parameter space of supersymmetric (Susy) extensions of the SM [ref] .

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What it cites · 63 sentences without a confident label

Builds on 1 paper

In this paper we look deeper into the FP/HB region and perform a Bayesian analysis of the CMSSM with its soft mass parameters extended to $m_0≤4$ TeV and $m_1/2≤2$ TeV, which is for each parameter twice as large as in [ref] .

Bayesian Implications of Current LHC and XENON100 Search Limits for the Constrained MSSM · Introduction · 1.00

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In order to calculate the likelihood for the LHC signal, we generally follow the procedure detailed in Ref. [ref] .

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We include $τ$ in the likelihood, following the procedure described in [ref] for the treatment of upper bounds.

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Notice that SuperBayeS (following DarkSusy [ref] ) uses tables from WimpSim [ref] for the propagation of the neutrino flux through the Sun and to Earth, so that matter effects and neutrino oscillations are properly accounted for.

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The bounds are reported in Fig. 2 of Ref. [ref] .

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The observables we use to constrain the PS, and their experimental and theoretical errors, are reported in Table [ref] and are the same as given in Ref. [ref] .

Bayesian Implications of Current LHC and XENON100 Search Limits for the Constrained MSSM · Methodology · 0.90
We incorporate in our scan the constraints induced on the SI neutralino-proton cross section $σ_p^SI$ by the 90% C.L. upper bound $σ_p,90^SI$, which was recently published by the XENON100 Collaboration [ref] .

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Compares with 5 papers

First, we have checked that, without including the dSphs $γ$-ray constraint, our results agreed well with those of Ref. [ref] .

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Reference [ref] adopted frequentist

Supersymmetry in Light of 1/fb of LHC Data · Introduction · 0.84
Two recent papers [ref] also considered the impact of the XENON100 bound on CMSSM PS in the Bayesian framework but their treatment of the theoretical uncertainties differs from ours.

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Cites as support 3 papers

While presently available data do not allow us to draw any definite conclusions, the results for the full configuration (which should be published soon) will have significant constraining power, as noted already in Refs. [ref] .

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While presently available data do not allow us to draw any definite conclusions, the results for the full configuration (which should be published soon) will have significant constraining power, as noted already in Refs. [ref] .

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While presently available data do not allow us to draw any definite conclusions, the results for the full configuration (which should be published soon) will have significant constraining power, as noted already in Refs. [ref] .

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Cites as background 10 papers

The Large Hadron Collider (LHC) at CERN started its run at center of mass energy $√(s)=7$ TeV more than a year ago, and in 2011 published several results based on an integrated luminosity of 1.1 fb$^-1$ [ref] .

Search for Supersymmetry at the LHC in Events with Jets and Missing Transverse Energy · Introduction · 0.91
The Large Hadron Collider (LHC) at CERN started its run at center of mass energy $√(s)=7$ TeV more than a year ago, and in 2011 published several results based on an integrated luminosity of 1.1 fb$^-1$ [ref] .

Search for squarks and gluinos using final states with jets and missing transverse momentum with the ATLAS detector in sqrt(s) = 7 TeV proton-proton collisions · Introduction · 0.91
Recently, there have been many studies, both experimental and phenomenological, of the impact of bounds from new physics searches at the LHC on the parameter space (PS) of the CMSSM [ref] .

Supersymmetry in Light of 1/fb of LHC Data · Introduction · 0.96

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