CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-EXO-16-012 ; CERN-EP-2017-027
Search for associated production of dark matter with a Higgs boson decaying to $\mathrm{b\overline{b}}$ or $\gamma\gamma$ at $ \sqrt{s} = $ 13 TeV
JHEP 10 (2017) 180
Abstract: A search for dark matter is performed using events with large missing transverse momentum and a Higgs boson decaying either to a pair of bottom quarks or to a pair of photons. The data from proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the CMS detector at the LHC, correspond to an integrated luminosity of 2.3 fb$^{-1}$. Results are interpreted in the context of a Z'-two-Higgs-doublet model, where a high-mass resonance Z' decays into a pseudoscalar boson A and a CP-even scalar Higgs boson, and the A decays to a pair of dark matter particles. No significant excesses are observed over the background prediction. Combining results from the two decay channels yields exclusion limits in the signal cross section in the $m_{\mathrm{Z'}} $-$ m_{\textrm{A}}$ phase space. The observed data exclude, for Z' coupling strength $g_{\mathrm{Z'}} = $ 0.8 and $m_{\mathrm{A}} = $ 300 GeV for example, the Z' mass range of 600 to 1860 GeV. This is the first result on a search for dark matter produced in association with a Higgs boson that includes constraints on $\mathrm{h} \to \gamma\gamma $ obtained at $ \sqrt{s} = $ 13 TeV.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Leading order Feynman diagram of the Z'-2HDM ``simplified model''. A pseudoscalar boson A decaying into invisible dark matter is produced from the decay of an on-shell Z' resonance. This gives rise to a Higgs boson and missing transverse momentum.

png pdf
Figure 2:
The ${p_{\mathrm {T}}^{\text {miss}}}$ distribution for ${m_{ {\mathrm {A}} }} = $ 300, 500, and 700 GeV with ${m_{\mathrm{Z'}}} = $ 1200 GeV. All other parameters of the model are fixed, as mentioned in the text.

png pdf
Figure 3:
Post-fit distribution of the reconstructed Higgs boson candidate mass expected from SM backgrounds and observed in data for the resolved (left) and the boosted (right) regimes with three different ${m_{\mathrm{Z'}}}$ signal points overlaid. The cross section for the signal model is computed assuming ${g_{\mathrm{Z'}}} = $ 0.8. The bottom panels show the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The first and third bins in the distribution show the mass sidebands (Z($\rightarrow \nu \overline {\nu }$)+jets) CR; the second bin shows the SR.

png pdf
Figure 3-a:
Post-fit distribution of the reconstructed Higgs boson candidate mass expected from SM backgrounds and observed in data for the resolved regime with three different ${m_{\mathrm{Z'}}}$ signal points overlaid. The cross section for the signal model is computed assuming ${g_{\mathrm{Z'}}} = $ 0.8. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The first and third bins in the distribution show the mass sidebands (Z($\rightarrow \nu \overline {\nu }$)+jets) CR; the second bin shows the SR.

png pdf
Figure 3-b:
Post-fit distribution of the reconstructed Higgs boson candidate mass expected from SM backgrounds and observed in data for the boosted regime with three different ${m_{\mathrm{Z'}}}$ signal points overlaid. The cross section for the signal model is computed assuming ${g_{\mathrm{Z'}}} = $ 0.8. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The first and third bins in the distribution show the mass sidebands (Z($\rightarrow \nu \overline {\nu }$)+jets) CR; the second bin shows the SR.

png pdf
Figure 4:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}} $ expected from SM backgrounds and observed in data for the W+jets (upper left), top quark (upper right) and Z($\rightarrow \nu \overline {\nu }$)+jets (lower) CRs for the resolved regime. The bottom panels show the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 350 GeV.

png pdf
Figure 4-a:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}} $ expected from SM backgrounds and observed in data for the W+jets CR for the resolved regime. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 350 GeV.

png pdf
Figure 4-b:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}} $ expected from SM backgrounds and observed in data for the top quark CR for the resolved regime. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 350 GeV.

png pdf
Figure 4-c:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}} $ expected from SM backgrounds and observed in data for the Z($\rightarrow \nu \overline {\nu }$)+jets CR for the resolved regime. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 350 GeV.

png pdf
Figure 5:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}}$ expected from SM backgrounds and observed in data for the single-lepton CR and Z($\rightarrow \nu \overline {\nu }$)+jets CRs for the boosted regime. The bottom panels show the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 500 GeV.

png pdf
Figure 5-a:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}}$ expected from SM backgrounds and observed in data for the single-lepton CR. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 500 GeV.

png pdf
Figure 5-b:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}}$ expected from SM backgrounds and observed in data for the Z($\rightarrow \nu \overline {\nu }$)+jets CRs for the boosted regime. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 500 GeV.

png pdf
Figure 6:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}}$ expected from SM backgrounds and observed in data for the resolved (left) and the boosted (right) regimes in the signal region with three different ${m_{\mathrm{Z'}}}$ signal points overlaid. The cross section for the signal model uses ${g_{\mathrm{Z'}}} = $ 0.8. The bottom panels show the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 350 (500) GeV for the resolved (boosted) regime.

png pdf
Figure 6-a:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}}$ expected from SM backgrounds and observed in data for the resolved regime in the signal region with three different ${m_{\mathrm{Z'}}}$ signal points overlaid. The cross section for the signal model uses ${g_{\mathrm{Z'}}} = $ 0.8. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 350 (500) GeV for the resolved (boosted) regime.

png pdf
Figure 6-b:
Post-fit distribution of ${p_{\mathrm {T}}^{\text {miss}}}$ expected from SM backgrounds and observed in data for the boosted regime in the signal region with three different ${m_{\mathrm{Z'}}}$ signal points overlaid. The cross section for the signal model uses ${g_{\mathrm{Z'}}} = $ 0.8. The bottom panel shows the data-to-simulation ratios for pre-fit (red markers) and post-fit (black markers) background predictions with a hatched band corresponding to the uncertainty due to the finite size of simulated samples and a gray band that adds the systematic uncertainty onto the post-fit background prediction. The last bin includes all events with $ {p_{\mathrm {T}}^{\text {miss}}} > $ 350 (500) GeV for the resolved (boosted) regime.

png pdf
Figure 7:
Distribution of $m_{\gamma \gamma }$ (left) in events passing all selection criteria except the $m_{\gamma \gamma }$ and ${p_{\mathrm {T}}^{\text {miss}}}$ requirement. Distribution of ${p_{\mathrm {T}}^{\text {miss}}}$ (right) for events passing all selection criteria including 120 GeV $ < m_{\gamma \gamma } < $ 130 GeV except ${p_{\mathrm {T}}^{\text {miss}}}$ requirement. For both plots, the product of signal cross section and branching fraction is set to 1 fb and the total simulated background is normalized to the total number of events in data.

png pdf
Figure 7-a:
Distribution of $m_{\gamma \gamma }$ in events passing all selection criteria except the $m_{\gamma \gamma }$ and ${p_{\mathrm {T}}^{\text {miss}}}$ requirement. The product of signal cross section and branching fraction is set to 1 fb and the total simulated background is normalized to the total number of events in data.

png pdf
Figure 7-b:
Distribution of ${p_{\mathrm {T}}^{\text {miss}}}$ for events passing all selection criteria including 120 GeV $ < m_{\gamma \gamma } < $ 130 GeV except ${p_{\mathrm {T}}^{\text {miss}}}$ requirement. The product of signal cross section and branching fraction is set to 1 fb and the total simulated background is normalized to the total number of events in data.

png pdf
Figure 8:
Fit to the diphoton invariant mass distribution in the low-$ {p_{\mathrm {T}}^{\text {miss}}}$ CR in data used to evaluate $\alpha $. The function used is a power law with one free parameter. The uncertainties in the background shapes associated with the statistical uncertainties of the fit are shown by the one and two standard deviation bands.

png pdf
Figure 9:
The expected and observed 95% CL limits on dark matter production cross sections for $ {\mathrm{h} \rightarrow \mathrm{ b \bar{b} } } $ and $ {\mathrm{h} \rightarrow \gamma \gamma } $ for ${m_{ {\mathrm {A}} }} = $ 300 GeV (left). The exclusion region is shown for two ${g_{\mathrm{Z'}}}$ values. The dark green and light yellow bands show the 68% and 95% uncertainties on the expected limit. The expected and observed 95% CL limits on the signal strength are shown for ${m_{ {\mathrm {A}} }} = $ 300-800 GeV (right). The theoretical cross section ($\sigma _{\mathrm {th}}$) used for the right hand plot is calculated using ${g_{\mathrm{Z'}}} = $ 0.8.

png pdf
Figure 9-a:
The expected and observed 95% CL limits on dark matter production cross sections for $ {\mathrm{h} \rightarrow \mathrm{ b \bar{b} } } $ and $ {\mathrm{h} \rightarrow \gamma \gamma } $ for ${m_{ {\mathrm {A}} }} = $ 300 GeV. The exclusion region is shown for two ${g_{\mathrm{Z'}}}$ values. The dark green and light yellow bands show the 68% and 95% uncertainties on the expected limit.

png pdf
Figure 9-b:
The expected and observed 95% CL limits on the signal strength are shown for ${m_{ {\mathrm {A}} }} = $ 300-800 GeV. The theoretical cross section ($\sigma _{\mathrm {th}}$) is calculated using ${g_{\mathrm{Z'}}} = $ 0.8.

png pdf
Figure 10:
The observed (expected) 95% CL limit on the signal strength for the $ {\mathrm{h} \rightarrow \mathrm{ b \bar{b} } } $ (left) and $ {\mathrm{h} \rightarrow \gamma \gamma } $ (right) decay channels for ${m_{ {\mathrm {A}} }} = $ 300-800 GeV and ${m_{ {\mathrm {A}} }} = $ 600-2500 GeV. The theoretical cross section is calculated using $g_{{\mathrm{Z'}} } = $ 0.8. For $ {\mathrm{h} \rightarrow \mathrm{ b \bar{b} } } $, the results for the resolved analysis are shown with white background whereas the boosted analysis points are shown in black crossed background.

png pdf
Figure 10-a:
The observed (expected) 95% CL limit on the signal strength for the $ {\mathrm{h} \rightarrow \mathrm{ b \bar{b} } } $ decay channel for ${m_{ {\mathrm {A}} }} = $ 300-800 GeV and ${m_{ {\mathrm {A}} }} = $ 600-2500 GeV. The theoretical cross section is calculated using $g_{{\mathrm{Z'}} } = $ 0.8. The results for the resolved analysis are shown with white background whereas the boosted analysis points are shown in black crossed background.

png pdf
Figure 10-b:
The observed (expected) 95% CL limit on the signal strength for the $ {\mathrm{h} \rightarrow \gamma \gamma } $ decay channel for ${m_{ {\mathrm {A}} }} = $ 300-800 GeV and ${m_{ {\mathrm {A}} }} = $ 600-2500 GeV. The theoretical cross section is calculated using $g_{{\mathrm{Z'}} } = $ 0.8.

png pdf
Figure 11:
The observed (expected) 95% CL limit on the signal strength for the combination of $ {\mathrm{h} \rightarrow \gamma \gamma } $ and $ {\mathrm{h} \rightarrow \mathrm{ b \bar{b} } } $ decay channels for ${m_{ {\mathrm {A}} }} = $ 300-800 GeV and ${m_{ {\mathrm {A}} }} = $ 600-2500 GeV. The theoretical cross section is calculated using $g_{{\mathrm{Z'}} } = $ 0.8.
Tables

png pdf
Table 1:
The product of acceptance and efficiency for signal in the SR, after full event selection for the $ {\mathrm{h} \rightarrow \mathrm{ b \bar{b} } } $ (upper) and the $ {\mathrm{h} \rightarrow \gamma \gamma } $ (lower) decay channels.

png pdf
Table 2:
Post-fit background event yields and observed numbers of events in data for 2.3 fb$^{-1}$ in both the resolved and the boosted regimes for the $ {\mathrm{h} \rightarrow \mathrm{ b \bar{b} } } $ analysis. The expected numbers of signal events for $m_{\mathrm {A}} = $ 300 GeV, scaled to the nominal cross section with $ {g_{\mathrm{Z'}}} = $ 0.8, are also reported.
Summary
A search has been performed for dark matter produced in association with a Higgs boson. The analysis is based on 2.3 fb$^{-1}$ of proton-proton collision data collected by the CMS experiment at $ \sqrt{s} = $ 13 TeV. This analysis focuses on a Z'-2HDM ``simplified model'' through an interaction between a Z' that decays into a pseudoscalar boson A that in turn decays to two dark matter candidates and a CP-even scalar Higgs boson. The particular case studied is where the Higgs boson decays to two b quarks or two photons.

No significant deviation is observed from the standard model background. The search is interpreted in terms of dark matter production that places constraints on the parameter space of the Z'-2HDM model. With optimized selections, limits on the signal cross section are calculated for various values of ${m_{\mathrm{ Z'}}}$ and ${m_{\mathrm{A}}} $. For ${m_{\mathrm{A}}} = $ 300 GeV, the observed data exclude the Z' mass range of 600 to 1860 GeV, for ${g_{\mathrm{ Z' }}} =$ 0.8, and 770 to 2040 GeV using the constrained value of ${g_{\mathrm{ Z' }}} $. This is the first result on a search for dark matter produced in association with a Higgs boson that includes constraints on $\mathrm{h} \to \gamma\gamma $ obtained at $ \sqrt{s} = $ 13 TeV. It is also the first to combine results from the ${\mathrm{h} \rightarrow\mathrm{ b }\mathrm{ \bar{b} }} $ and $\mathrm{h} \to \gamma\gamma $ decay channels.
References
1 G. Bertone, D. Hooper, and J. Silk Particle dark matter: evidence, candidates and constraints PR 405 (2005) 279 hep-ph/0404175
2 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
3 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
4 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) 081 CMS-HIG-12-036
1303.4571
5 A. A. Petrov and W. Shepherd Searching for dark matter at LHC with mono-Higgs production PLB 730 (2014) 178 1311.1511
6 L. Carpenter et al. Mono-Higgs-boson: A new collider probe of dark matter PRD 89 (2014) 075017 1312.2592
7 A. Berlin, T. Lin, and L.-T. Wang Mono-Higgs detection of dark matter at the LHC JHEP 06 (2014) 078 1402.7074
8 ATLAS Collaboration Search for dark matter produced in association with a Higgs boson decaying to two bottom quarks in $ \rm{pp} $ collisions at $ \sqrt{s} = $ 8 TeV with the ATLAS detector PRD 93 (2016) 47 1510.06218
9 ATLAS Collaboration Search for dark matter in association with a Higgs boson decaying to $ b $-quarks in $ pp $ collisions at $ \sqrt{s} = $ 13 TeV with the ATLAS detector PLB 765 (2017) 11 1609.04572
10 ATLAS Collaboration Search for dark matter in events with missing transverse momentum and a Higgs boson decaying to two photons in $ \rm{pp} $ collisions at $ \sqrt{s} = $ 8 TeV with the ATLAS detector PRL 115 (2015) 131801 1506.01081
11 D. Abercrombie et al. Dark matter benchmark models for early LHC Run-2 searches: report of the ATLAS/CMS dark matter forum 1507.00966
12 T. D. Lee A theory of spontaneous T violation PRD 8 (1973) 1226
13 G. C. Branco et al. Theory and phenomenology of two-Higgs-doublet models PR 516 (2012) 1 1106.0034
14 N. Craig, J. Galloway, and S. Thomas Searching for signs of the second Higgs doublet 1305.2424
15 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
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 T. Sjostrand et al. An introduction to PYTHIA 8.2 CPC 191 (2015) 159 1410.3012
18 C. Oleari The POWHEG-BOX NPPS 205-206 (2010) 36 1007.3893
19 G. Luisoni, P. Nason, C. Oleari, and F. Tramontano $ \mathrm{HW^{\pm}/HZ} $ + 0 and 1 jet at NLO with the POWHEG BOX interfaced to GoSam and their merging within MiNLO JHEP 10 (2013) 083 1306.2542
20 P. Nason and C. Oleari NLO Higgs boson production via vector-boson fusion matched with shower in POWHEG JHEP 02 (2010) 037 0911.5299
21 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
22 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
23 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
24 S. Frixione, P. Nason, and G. Ridolfi A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction JHEP 09 (2007) 126 0707.3088
25 E. Re Single-top Wt-channel production matched with parton showers using the POWHEG method EPJC 71 (2011) 1547 1009.2450
26 CMS Collaboration Measurement of differential top-quark-pair production cross sections in pp collisions at $ \sqrt{s} = $ 7 TeV EPJC 73 (2013), no. 3 CMS-TOP-11-013
1211.2220
27 CMS Collaboration Measurement of the differential cross section for top quark pair production in pp collisions at $ \sqrt{s} = $ 8 TeV EPJC 75 (2015), no. 11, 542 CMS-TOP-12-028
1505.04480
28 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 hep-ph/0611129
29 Y. Li and F. Petriello Combining QCD and electroweak corrections to dilepton production in FEWZ PRD 86 (2012) 094034 1208.5967
30 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
31 S. Kallweit et al. NLO electroweak automation and precise predictions for W+multijet production at the LHC JHEP 04 (2015) 012 1412.5157
32 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
33 P. Nason and G. Zanderighi $ \mathrm{W}^+\mathrm{W}^- $, $ \mathrm{WZ} $ and $ \mathrm{ZZ} $ production in the POWHEG-BOX-V2 EPJC 74 (2014) 2702 1311.1365
34 NNPDF Collaboration Parton distributions for the LHC Run II JHEP 04 (2015) 040 1410.8849
35 P. Skands, S. Carrazza, and J. Rojo Tuning PYTHIA 8.1: the Monash 2013 tune EPJC 74 (2014) 3024 1404.5630
36 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016), no. 3, 155 CMS-GEN-14-001
1512.00815
37 M. Bahr et al. Herwig++ physics and manual EPJC 58 (2008) 639 0803.0883
38 S. Gieseke, C. Rohr, and A. Siodmok Colour reconnections in Herwig++ EPJC 72 (2012) 2225 1206.0041
39 M. H. Seymour and A. Siodmok Constraining MPI models using $ \sigma_{\mathrm{eff}} $ and recent Tevatron and LHC underlying event data JHEP 10 (2013) 113 1307.5015
40 GEANT4 Collaboration GEANT4---a simulation toolkit NIMA 506 (2003) 250
41 CMS Collaboration Particle-flow event reconstruction in CMS and performance for jets, taus, and $ E_{\mathrm{T}}^{\text{miss}} $ CMS-PAS-PFT-09-001
42 CMS Collaboration Commissioning of the particle-flow event reconstruction with the first LHC collisions recorded in the CMS detector CDS
43 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector Submitted to JINST CMS-PRF-14-001
1706.04965
44 M. Cacciari, G. P. Salam, and G. Soyez The anti-$ k_t $ jet clustering algorithm JHEP 04 (2008) 063 0802.1189
45 M. Cacciari, G. P. Salam and G. Soyez FastJet user manual EPJC 72 (2012) 012 1111.6097
46 S. D. Ellis, C. K. Vermilion, and J. R. Walsh Techniques for improved heavy particle searches with jet substructure PRD 80 (2009) 051501 0903.5081
47 S. D. Ellis, C. K. Vermilion, and J. R. Walsh Recombination algorithms and jet substructure: pruning as a tool for heavy particle searches PRD 81 (2010) 094023 0912.0033
48 CMS Collaboration Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV Submitted to JINST CMS-JME-13-004
1607.03663
49 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
50 CMS Collaboration Identification of b quark jets at the CMS experiment in the LHC Run 2 CDS
51 CMS Collaboration Identification of b-quark jets with the CMS experiment JINST 8 (2013) P04013 CMS-BTV-12-001
1211.4462
52 M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam Towards an understanding of jet substructure JHEP 09 (2013) 029 1307.0007
53 A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler Soft drop JHEP 05 (2014) 146 1402.2657
54 CMS Collaboration CMS physics technical design report, volume II: physics performance JPG 34 (2007) 995
55 CMS Collaboration Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at $ \sqrt{s} = $ 8 TeV JINST 10 (2015) P08010 CMS-EGM-14-001
1502.02702
56 CMS Collaboration Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at $ \sqrt{s} = $ 8 TeV JINST 10 (2015) P06005 CMS-EGM-13-001
1502.02701
57 CMS Collaboration Performance of CMS muon reconstruction in pp collision events at $ \sqrt{s} = $ 7 TeV JINST 7 (2012) P10002 CMS-MUO-10-004
1206.4071
58 CMS Collaboration Reconstruction and identification of $ \tau $ lepton decays to hadrons and $ \nu_{\tau} $ at CMS JINST 11 (2016), no. 01, P01019 CMS-TAU-14-001
1510.07488
59 CMS Collaboration The performance of the CMS muon detector in proton-proton collisions at $ \sqrt{s} = $ 7 TeV at the LHC JINST 8 (2013) P11002 CMS-MUO-11-001
1306.6905
60 M. Cacciari and G. P. Salam Pileup subtraction using jet areas PLB 659 (2008) 119
61 CMS Collaboration Measurement of differential cross sections for Higgs boson production in the diphoton decay channel in pp collisions at $ \sqrt{s} = $ 8 TeV EPJC 76 (2016) 13 CMS-HIG-14-016
1508.07819
62 CMS Collaboration Observation of the diphoton decay of the Higgs boson and measurement of its properties EPJC 74 (2014) 3076 CMS-HIG-13-001
1407.0558
63 CMS Collaboration Search for resonant production of high-mass photon pairs in proton-proton collisions at $ \sqrt{s} = $ 8 and 13 TeV PRL 117 (2016) 051802 CMS-EXO-16-018
1606.04093
64 CMS Collaboration CMS luminosity measurement for the 2015 data taking period CMS-PAS-LUM-15-001 CMS-PAS-LUM-15-001
65 CMS Collaboration Measurements of inclusive W and Z cross sections in pp collisions at $ \sqrt{s} = $ 7 TeV JHEP 01 (2011) 080 CMS-EWK-10-002
1012.2466
66 J. Butterworth et al. PDF4LHC recommendations for LHC Run II JPG 43 (2016) 023001 1510.03865
67 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
68 A. L. Read Presentation of search results: the $ CL_s $ technique JPG 28 (2002) 2693
69 T. Junk Confidence level computation for combining searches with small statistics NIMA 434 (1999) 435 hep-ex/9902006
70 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
Compact Muon Solenoid
LHC, CERN