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| CMS-PAS-EXO-16-050 | ||
| Search for associated production of dark matter with a Higgs boson that decays to a pair of bottom quarks | ||
| CMS Collaboration | ||
| July 2018 | ||
| Abstract: A search for dark matter produced in association with a Higgs boson that decays into a pair of bottom quarks is performed in proton-proton collisions at a center-of-mass energy $\sqrt{s}= $ 13 TeV collected with the CMS detector at the LHC. The analyzed data sample corresponds to an integrated luminosity of 35.9 fb$^{-1}$. The signal is characterized by a large missing transverse momentum recoiling against a $\text{b}\bar{\text{b}}$ system that has a large Lorentz boost. The number of events observed in the data is consistent with the standard model background prediction. Results are interpreted in terms of limits on parameters in the Baryonic Z' and 2HDM+a simplified models. For these models, the presented results constitute either the most stringent constraints or the first constraints obtained so far. | ||
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Links:
CDS record (PDF) ;
inSPIRE record ;
CADI line (restricted) ;
These preliminary results are superseded in this paper, EPJC 79 (2019) 280. The superseded preliminary plots can be found here. |
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| Figures | |
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Figure 1:
Feynman diagrams for the 2HDM+a model (left) and the Baryonic Z' model (right). |
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Figure 1-a:
Feynman diagrams for the 2HDM+a model (left) and the Baryonic Z' model (right). |
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Figure 1-b:
Feynman diagrams for the 2HDM+a model (left) and the Baryonic Z' model (right). |
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Figure 2:
The ${p_{\mathrm {T}}^{\text {miss}}}$ distribution in the signal region after a likelihood fit. The data are in agreement with post-fit background predictions for the SM backgrounds, and no significant excess is observed. The red histogram corresponds to the pre-fit estimate for the SM backgrounds. |
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Figure 3:
The $U$ distribution in the muon control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 3-a:
The $U$ distribution in the muon control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 3-b:
The $U$ distribution in the muon control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 3-c:
The $U$ distribution in the muon control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 3-d:
The $U$ distribution in the muon control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 3-e:
The $U$ distribution in the muon control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 3-f:
The $U$ distribution in the muon control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 4:
The $U$ distribution in the electron control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 4-a:
The $U$ distribution in the electron control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 4-b:
The $U$ distribution in the electron control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 4-c:
The $U$ distribution in the electron control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
png pdf |
Figure 4-d:
The $U$ distribution in the electron control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 4-e:
The $U$ distribution in the electron control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
png pdf |
Figure 4-f:
The $U$ distribution in the electron control regions after a fit to data, including the data in the signal region in the likelihood. For the distributions on the left the CA15 jet passes the double-b tag requirement and for the distributions on the right it fails the double-b tag requirement. |
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Figure 5:
Upper limits on the signal strength modifier for the 2HDM+a model when scanning $m_\text {A}$ and $m_\text {a}$ (upper left), the mixing angle $\theta $ (upper right), or $\tan\beta $ (bottom). |
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Figure 5-a:
Upper limits on the signal strength modifier for the 2HDM+a model when scanning $m_\text {A}$ and $m_\text {a}$ (upper left), the mixing angle $\theta $ (upper right), or $\tan\beta $ (bottom). |
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Figure 5-b:
Upper limits on the signal strength modifier for the 2HDM+a model when scanning $m_\text {A}$ and $m_\text {a}$ (upper left), the mixing angle $\theta $ (upper right), or $\tan\beta $ (bottom). |
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Figure 5-c:
Upper limits on the signal strength modifier for the 2HDM+a model when scanning $m_\text {A}$ and $m_\text {a}$ (upper left), the mixing angle $\theta $ (upper right), or $\tan\beta $ (bottom). |
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Figure 6:
Upper limits on the signal strength modifier for the Baryonic Z' model as a function of $m_{Z'}$ and $m_\chi $. Mediators of up to 1.45 TeV are excluded for a DM mass of 1 GeV. Masses of the DM particle itself are excluded up to 230 GeV for a Z' mass of 1.25 TeV. |
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Figure 7:
The 90% CL exclusion limits on the DM-nucleon SI scattering cross section as a function of $m_{DM}$. Results obtained in this analysis are compared with those from a selection of direct detection (DD) experiments. The latter exclude the regions above the curves. Limits from CDMSLite [63], LUX [64], XENON-1T [65], PandaX-II [66], and CRESST-II [67] are shown. |
| Tables | |
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Table 1:
Event selection criteria defining the signal regions and control regions. These criteria are applied in addition to the preselection that is common to all regions, as described in the text. |
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Table 2:
Sources of systematic uncertainty, along with the type (rate/shape) of uncertainty and the affected processes. For the rate uncertainties, the percentage value of the prior is quoted. The last column denotes the improvement in the expected limit when removing the uncertainty group from the list of nuisances included in the likelihood fit. The 2HDM+a model with $m_\text {A} = $ 1.1 TeV and $m_\text {a} = $ 150 GeV (with $\sin\theta =$ 0.35 and $\tan\beta = $ 1) has been used in the derivation of these numbers. |
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Table 3:
Post-fit event yield expectations per ${{p_{\mathrm {T}}} ^\text {miss}}$ bin for the SM backgrounds in the signal region when including the signal region data in the likelihood fit. Quoted are also the expected yields for two signal models. For the 2HDM+a model, we choose $\sin\theta =$ 0.35 and $\tan\beta =$ 1. Uncertainties quoted on the predictions include systematic and statistical uncertainties. |
| Summary |
| A search for the associated production of DM particles with a Higgs boson decaying into a pair of bottom quarks is presented. No significant deviation from the predictions of the SM is observed, and upper limits on the production cross section predicted by the 2HDM+a model and the Baryonic Z' model are established. They constitute the most stringent exclusions placed on the parameters in these models so far. For the nominal choice of the mixing angle $\sin\theta$ and $\tan\beta$ in the 2HDM+a model, the search excludes masses 500 $ < m_\text{A} < $ 900 GeV assuming $m_\text{a} = $ 150 GeV. Scanning over $\sin\theta$ for two example benchmark points, we exclude 0.35 $ < \sin\theta < $ 0.75 for $m_\text{A} = $ 600 GeV and $m_\text{a} = $ 200 GeV. Finally, $\tan\beta$ values between 0.5 and 2.0 (1.6) are excluded for $m_\text{A} = $ 600 GeV and $m_\text{a}=100$ (150) GeV. In all 2HDM+a interpretations, a DM mass of $m_\chi = $ 10 GeV is assumed. For the Baryonic Z' model, we exclude Z' masses up to 1.6 TeV for a DM mass of 1 GeV, and DM masses up to 475 GeV for a Z' mass of 1.1 TeV. The reinterpretation of the results for the Baryonic Z' model in terms of an SI nucleon scattering cross section yields a higher sensitivity for $m_\chi < $ 5 GeV than existing results from direct detection experiments. |
| References | ||||
| 1 | G. Bertone, D. Hooper, and J. Silk | Particle Dark Matter: Evidence, Candidates and Constraints | PR 405 (2005) 279 | 0404175 |
| 2 | J. L. Feng | Dark Matter Candidates from Particle Physics and Methods of Detection | Ann. Rev. Astron. Astrophys. 48 (2010) 495 | 1003.0904 |
| 3 | T. A. Porter, R. P. Johnson, and P. W. Graham | Dark Matter Searches with Astroparticle Data | Ann. Rev. Astron. Astrophys. 49 (2011) 155 | 1104.2836 |
| 4 | Planck Collaboration | Planck 2015 results. XIII. Cosmological parameters | Astron. Astrophys. 594 (2016) A13 | 1502.01589 |
| 5 | ATLAS Collaboration | Observation of a new particle in the search for the standard model higgs boson with the ATLAS detector at the LHC | PLB 716 (2012) 1 | 1207.7214 |
| 6 | CMS Collaboration | Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC | PLB 716 (2012) 30 | CMS-HIG-12-028 1207.7235 |
| 7 | CMS Collaboration | Observation of a new boson with mass near 125 GeV in pp collisions at $ \sqrt{s} = $ 7 and 8 TeV | JHEP 06 (2013) 81 | CMS-HIG-12-036 1303.4571 |
| 8 | A. A. Petrov and W. Shepherd | Searching for dark matter at LHC with Mono-Higgs production | PLB 730 (2014) 178 | 1311.1511 |
| 9 | A. Berlin, T. Lin, and L.-T. Wang | Mono-Higgs Detection of dark matter at the LHC | JHEP 06 (2014) 078 | 1402.7074 |
| 10 | L. Carpenter et al. | Mono-Higgs-boson: A new collider probe of dark matter | PRD 89 (2014) 075017 | 1312.2592 |
| 11 | CMS Collaboration | The CMS experiment at the CERN LHC | JINST 3 (2008) 08004 | CMS-00-001 |
| 12 | M. Bauer, U. Haisch, and F. Kahlhoefer | Simplified dark matter models with two Higgs doublets: I. Pseudoscalar mediators | JHEP 05 (2017) 138 | 1701.07427 |
| 13 | ATLAS and CMS Collaborations | Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at $ \sqrt{s}= $ 7 and 8 TeV | JHEP 08 (2016) 045 | 1606.02266 |
| 14 | ATLAS Collaboration | Search for Dark Matter Produced in Association with a Higgs Boson Decaying to $ b\bar b $ using 36 fb$ ^{-1} $ of pp collisions at $ \sqrt s= $ 13 TeV with the ATLAS Detector | PRL 119 (2017) 181804 | 1707.01302 |
| 15 | CMS Collaboration | Search for associated production of dark matter with a Higgs boson decaying to $ \mathrm{b}\overline{\mathrm{b}} $ or $ \gamma \gamma $ at $ \sqrt{s}= $ 13 TeV | JHEP 10 (2017) 180 | CMS-EXO-16-012 1703.05236 |
| 16 | J. Alwall et al. | The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations | JHEP 07 (2014) 079 | 1405.0301 |
| 17 | P. Nason | A new method for combining NLO QCD with shower Monte Carlo algorithms | JHEP 11 (2004) 040 | hep-ph/0409146 |
| 18 | S. Frixione, P. Nason, and C. Oleari | Matching NLO QCD computations with Parton Shower simulations: the POWHEG method | JHEP 11 (2007) 070 | 0709.2092 |
| 19 | S. Alioli, P. Nason, C. Oleari, and E. Re | A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX | JHEP 06 (2010) 043 | 1002.2581 |
| 20 | M. Czakon, P. Fiedler, and A. Mitov | Total Top-Quark Pair-Production Cross Section at Hadron Colliders Through $ O(α\frac{4}{S}) $ | PRL 110 (2013) 252004 | 1303.6254 |
| 21 | M. L. Mangano, M. Moretti, F. Piccinini, and M. Treccani | Matching Matrix Elements and Shower Evolution for Top-Quark Production in Hadronic Collisions | JHEP 01 (2007) 013 | 0611129 |
| 22 | R. Frederix and S. Frixione | Merging meets matching in MC@NLO | JHEP 12 (2012) 061 | 1209.6215 |
| 23 | J. H. Kuhn, A. Kulesza, S. Pozzorini, and M. Schulze | Electroweak corrections to hadronic photon production at large transverse momenta | JHEP 03 (2006) 059 | hep-ph/0508253 |
| 24 | S. Kallweit et al. | NLO QCD+EW automation and precise predictions for V+multijet production | in 50th Rencontres de Moriond on QCD and High Energy Interactions La Thuile, Italy, March 21-28, 2015 2015 | 1505.05704 |
| 25 | S. Kallweit et al. | NLO QCD+EW predictions for V+jets including off-shell vector-boson decays and multijet merging | JHEP 04 (2016) 021 | 1511.08692 |
| 26 | T. Sjostrand et al. | An Introduction to PYTHIA 8.2 | CPC 191 (2015) 159 | 1410.3012 |
| 27 | J. M. Campbell, R. K. Ellis, and C. Williams | Vector boson pair production at the LHC | JHEP 07 (2011) 018 | 1105.0020 |
| 28 | NNPDF Collaboration | Parton distributions for the LHC Run II | JHEP 04 (2015) 040 | 1410.8849 |
| 29 | CMS Collaboration | Event generator tunes obtained from underlying event and multiparton scattering measurements | EPJC 76 (2016) 155 | CMS-GEN-14-001 1512.00815 |
| 30 | P. Skands, S. Carrazza, and J. Rojo | Tuning pythia 8.1: the monash 2013 tune | EPJC 74 (2014) 3024 | 1404.5630 |
| 31 | S. Agostinelli et al. | Geant4 - a simulation toolkit | NIMA 506 (2003) 250 | |
| 32 | CMS Collaboration | Particle-flow reconstruction and global event description with the CMS detector | JINST 12 (2017) 10003 | CMS-PRF-14-001 1706.04965 |
| 33 | CMS Collaboration | A Cambridge-Aachen (C-A) based Jet Algorithm for boosted top-jet tagging | CDS | |
| 34 | D. Berteloni, P. Harris, M. Low, and N. Tran | Pileup per particle identification | JHEP 59 (2014) 059 | 1407.6013 |
| 35 | CMS Collaboration | Determination of jet energy calibration and transverse momentum resolution in CMS | JINST 6 (2011) 11002 | CMS-JME-10-011 1107.4277 |
| 36 | A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler | Soft Drop | JHEP 05 (2014) 146 | 1402.2657 |
| 37 | CMS Collaboration | Identification of double-b quark jets in boosted event topologies | CMS-PAS-BTV-15-002 | CMS-PAS-BTV-15-002 |
| 38 | I. Moult, L. Necib, and J. Thaler | New Angles on Energy Correlation Functions | JHEP 12 (2016) 153 | 1609.07483 |
| 39 | J. Dolen et al. | Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure | JHEP 05 (2016) 156 | 1603.00027 |
| 40 | M. Cacciari, G. P. Salam, and G. Soyez | The anti-$ k_t $ jet clustering algorithm | JHEP 04 (2008) 063 | 0802.1189 |
| 41 | CMS Collaboration | Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV | JINST 13 (2018) 05011 | |
| 42 | CMS Collaboration | Identification of b-quark jets with the CMS experiment | JINST 8 (2013) 04013 | CMS-BTV-12-001 1211.4462 |
| 43 | CMS Collaboration | Performance of Electron Reconstruction and Selection with the CMS Detector in Proton-Proton Collisions at $ \sqrt{s} = $ 8 TeV | JINST 10 (2015) 06005 | CMS-EGM-13-001 1502.02701 |
| 44 | CMS Collaboration | Performance of CMS muon reconstruction in pp collision events at $ \sqrt{s} = $ 7 TeV | JINST 7 (2012) 10002 | CMS-MUO-10-004 1206.4071 |
| 45 | CMS Collaboration | Reconstruction and identification of $ \tau $ lepton decays to hadrons and $ \nu_{\tau} $ at CMS | JINST 11 (2016) 01019 | CMS-TAU-14-001 1510.07488 |
| 46 | CMS Collaboration | The performance of the CMS muon detector in proton-proton collisions at $ \sqrt{s} = $ 7 TeV at the LHC | JINST 8 (2013) 11002 | CMS-MUO-11-001 1306.6905 |
| 47 | CMS Collaboration | Performance of missing energy reconstruction in 13 TeV pp collision data using the CMS detector | CMS-PAS-JME-16-004 | CMS-PAS-JME-16-004 |
| 48 | L. Moneta et al. | The RooStats Project | in 13$^\textth$ International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT2010) SISSA, 2010 PoS(ACAT2010)057 | 1009.1003 |
| 49 | CMS Collaboration | Performance of the CMS missing transverse momentum reconstruction in pp data at $ \sqrt{s} = $ 8 TeV | JINST 10 (2015) 02006 | CMS-JME-13-003 1411.0511 |
| 50 | CMS Collaboration | CMS Luminosity Measurements for the 2016 Data Taking Period | CMS-PAS-LUM-17-001 | CMS-PAS-LUM-17-001 |
| 51 | CMS Collaboration | Differential cross section measurements for the production of a W boson in association with jets in proton-proton collisions at $ \sqrt s= $ 7 TeV | PLB 741 (2015) 12 | CMS-SMP-12-023 1406.7533 |
| 52 | CMS Collaboration | Measurement of the production cross section for a W boson and two b jets in pp collisions at $ \sqrt{s} = $ 7 TeV | PLB 735 (2014) 204 | CMS-SMP-12-026 1312.6608 |
| 53 | CMS Collaboration | Measurements of jet multiplicity and differential production cross sections of $ Z + $ jets events in proton-proton collisions at $ \sqrt{s} = $ 7 TeV | PRD 91 (2015) 052008 | CMS-SMP-12-017 1408.3104 |
| 54 | CMS Collaboration | Measurement of the production cross sections for a Z boson and one or more b jets in pp collisions at $ \sqrt{s} = $ 7 TeV | JHEP 06 (2014) 120 | CMS-SMP-13-004 1402.1521 |
| 55 | CMS Collaboration | Observation of the associated production of a single top quark and a $ W $ boson in pp collisions at $ \sqrt s = $ 8 TeV | PRL 112 (2014) 231802 | CMS-TOP-12-040 1401.2942 |
| 56 | CMS Collaboration | Measurement of the ZZ production cross section and Z $ \to \ell^+\ell^-\ell'^+\ell'^- $ branching fraction in pp collisions at $ \sqrt s = $ 13 TeV | PLB 763 (2016) 280 | CMS-SMP-16-001 1607.08834 |
| 57 | CMS Collaboration | Measurement of the WZ production cross section in pp collisions at $ \sqrt s = $ 13 TeV | PLB 766 (2017) 268 | CMS-SMP-16-002 1607.06943 |
| 58 | LHC Higgs Cross Section Working Group Collaboration | Handbook of LHC Higgs Cross Sections: 3. Higgs Properties: Report of the LHC Higgs Cross Section Working Group | CERN-2013-004, Geneva | 1307.1347 |
| 59 | A. L. Read | Presentation of search results: the CL$ _s $ technique | JPG 28 (2002) 2693 | |
| 60 | T. Junk | Confidence level computation for combining searches with small statistics | NIMA 434 (1999) 435 | hep-ex/9902006 |
| 61 | G. Cowan, K. Cranmer, E. Gross, and O. Vitells | Asymptotic formulae for likelihood-based tests of new physics | EPJC 71 (2011) 1554 | 1007.1727 |
| 62 | A. Boveia et al. | Recommendations on presenting LHC searches for missing transverse energy signals using simplified $ s $-channel models of dark matter | 1603.04156 | |
| 63 | SuperCDMS Collaboration | New results from the search for low-mass weakly interacting massive particles with the CDMS Low Ionization Threshold Experiment | PRL 116 (2016) 071301 | 1509.02448 |
| 64 | LUX Collaboration | Results from a search for dark matter in the complete LUX exposure | PRL 118 (2017) 021303 | 1608.07648 |
| 65 | XENON Collaboration | First dark matter search results from the XENON1T experiment | PRL 119 (2017) 181301 | 1705.06655 |
| 66 | PandaX-II Collaboration | Dark matter results from 54-ton-day exposure of PandaX-II experiment | PRL 119 (2017) 181302 | 1708.06917 |
| 67 | CRESST-II Collaboration | Results on light dark matter particles with a low-threshold CRESST-II detector | EPJC 76 (2016) 25 | 1509.01515 |
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