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A Bayesian view of the current status of dark matter direct searches

High Energy Physics - Phenomenology · Submitted 25 May 2011

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We find that when uncertainties in the scintillation efficiency of Xenon100 have been accounted for, the resulting exclusion limit is not sufficiently constraining to rule out the CoGeNT preferred parameter region, contrary to previous claims.

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arXiv ID1105.5121 (version 2)
Pith IDLVPO2R2O, Pith's permanent record of this paper and its review
CitationChiara Arina, Jan Hamann, Yvonne Y. Y. Wong. "A Bayesian view of the current status of dark matter direct searches." arXiv:1105.5121 (2011). https://pith.science/paper/LVPO2R2O
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What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.60 · human participants 0.01 · controlled comparison 0.06 · randomized assignment 0.01 · states quantitative result 0.15 · compares with prior results 0.93 · mentions code or data availability 0.02.

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arXiv listing abstract v2. Results and the main claim are underlined; .

Bayesian statistical methods offer a simple and consistent framework for incorporating uncertainties into a multi-parameter inference problem. In this work we apply these methods to a selection of current direct dark matter searches. We consider the simplest scenario of spin-independent elastic WIMP scattering, and infer the WIMP mass and cross-section from the experimental data with the essential systematic uncertainties folded into the analysis. We find that when uncertainties in the scintillation efficiency of Xenon100 have been accounted for, the resulting exclusion limit is not sufficiently constraining to rule out the CoGeNT preferred parameter region, contrary to previous claims. In the same vein, we also investigate the impact of astrophysical uncertainties on the preferred WIMP parameters. We find that within the class of smooth and isotropic WIMP velocity distributions, it is difficult to reconcile the DAMA and the CoGeNT preferred regions by tweaking the astrophysics parameters alone. If we demand compatibility between these experiments, then the inference process naturally concludes that a high value for the sodium quenching factor for DAMA is preferred.

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#sentencerolethe authors' own workstates the main conclusionstrength
s0 Bayesian statistical methods offer a simple and consistent framework for incorporating uncertainties into a multi-parameter inference problem. background 0.93 0.06 0.02 asserted 1.00
s1 In this work we apply these methods to a selection of current direct dark matter searches. contribution 0.95 0.91 0.02 asserted 0.94
s2 We consider the simplest scenario of spin-independent elastic WIMP scattering, and infer the WIMP mass and cross-section from the experimental data with the essential systematic uncertainties folded into the analysis. method 0.72 0.92 0.06 asserted 0.96
s3 We find that when uncertainties in the scintillation efficiency of Xenon100 have been accounted for, the resulting exclusion limit is not sufficiently constraining to rule out the CoGeNT preferred parameter region, contrary to previous claims. result 1.00 0.95 0.32 asserted 1.00
s4 In the same vein, we also investigate the impact of astrophysical uncertainties on the preferred WIMP parameters. contribution 0.93 0.72 0.03 unclear 0.62
s5 We find that within the class of smooth and isotropic WIMP velocity distributions, it is difficult to reconcile the DAMA and the CoGeNT preferred regions by tweaking the astrophysics parameters alone. result 1.00 0.94 0.19 asserted 0.98
s6 If we demand compatibility between these experiments, then the inference process naturally concludes that a high value for the sodium quenching factor for DAMA is preferred. result 0.95 0.92 0.16 asserted 0.91

What kind of paper the classifier reports this is: simulation study 0.44 · evidence from analysis of existing data 1.00.

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The paper
Original abstract

Bayesian statistical methods offer a simple and consistent framework for incorporating uncertainties into a multi-parameter inference problem. In this work we apply these methods to a selection of current direct dark matter searches. We consider the simplest scenario of spin-independent elastic WIMP scattering, and infer the WIMP mass and cross-section from the experimental data with the essential systematic uncertainties folded into the analysis. We find that when uncertainties in the scintillation efficiency of Xenon100 have been accounted for, the resulting exclusion limit is not sufficiently constraining to rule out the CoGeNT preferred parameter region, contrary to previous claims. In the same vein, we also investigate the impact of astrophysical uncertainties on the preferred WIMP parameters. We find that within the class of smooth and isotropic WIMP velocity distributions, it is difficult to reconcile the DAMA and the CoGeNT preferred regions by tweaking the astrophysics parameters alone. If we demand compatibility between these experiments, then the inference process naturally concludes that a high value for the sodium quenching factor for DAMA is preferred.

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References
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31 arXiv papers cite this in 62 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 · 36 sentences without a confident label

Builds on it 2 papers
Uses its method or tool 4 papers
  • We use Bayesian statistics to infer the $99_S%$ credible interval for the exclusion limits and both the 90% and 99% credible regions for DAMA from the posterior probability density function, as detailed in [ref] where it was demonstrated that the procedure is robust against the choice of prior and matches well a profile likelihood analysis.

    Not so Coy Dark Matter explains DAMA (and the Galactic Center excess) · Direct detection · 0.96

  • We discuss here the prior choice for the parameters following [ref] , where the details can be found.

    Bayesian analysis of multiple direct detection experiments · Discussion on prior pdfs · 0.80

  • We employ the same procedure as in [ref] to include experimental systematics in the likelihood and to encompass astrophysical uncertainties using a motivated DM density profile with the related velocity distribution.

    Chasing a consistent picture for dark matter direct searches · Introduction · 0.96

Uses its data or values 1 paper
Compares with it 1 paper
Cites it as support 2 papers
  • Other DM density profiles give similar results on the {$m_DM,σ_n^SI$}-plane, namely the exact shape of the DM halo density profile, at least within the class of spherically symmetric, smooth profiles, does not yet play a role in direct DM searches, as shown in [ref] .

    Chasing a consistent picture for dark matter direct searches · Astrophysical uncertainties · 1.00

  • We neglect the uncertainty in $L_eff (E)$, which however is only important for very light WIMP mass, $m_χ< 10$ GeV, as argued recently in Ref. [ref] .

    Global fits of the cMSSM including the first LHC and XENON100 data · Implementation of XENON100 data · 0.99

Cites it as background 11 papers

What it cites · 3 sentences without a confident label

Uses data or values from 3 papers
  • Between 2006 and 2007, the Xenon10 collaboration found 13 events for an expected background of 7 events in an exposure of 316.4 kg-days in the $2.0 →75.0$ keVnr window [ref] .

    First Results from the XENON10 Dark Matter Experiment at the Gran Sasso National Laboratory · Xenon · 0.99

  • The likelihood follows a Gaussian distribution, [equation] where $s_i$ and $s̅^obs _i$ are the theoretical and the mean observed modulation respectively in the $i$th energy bin, $σ_i$ is the associated uncertainty in the observed signal, and we use in this analysis the 36-bin data from figure 9 of [ref] .

    First results from DAMA/LIBRA and the combined results with DAMA/NaI · DAMA · 1.00

  • Marginalising over the total background $B$ (but not the spectral shape) in the manner of equations ([ref]) and ([ref]), we find in the small $σ_B/B̅$ limit an effective likelihood [equation] We include in the analysis also null results from three previous searches with the CDMS germanium detector, with exposures of 34 kg-days [ref] , 19.4 kg-days [ref] , and 397.8 kg-days [ref] , bringing the total exposure to 1063.2 kg-days.

    A Search for WIMPs with the First Five-Tower Data from CDMS · CDMSGe · 0.97

Cites as background 4 papers

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