CMS-PAS-B2G-22-005 | ||
Search for pair production of heavy particles decaying to a top quark and a gluon in the lepton+jets final state at $ \sqrt{s}= $ 13 TeV | ||
CMS Collaboration | ||
20 July 2024 | ||
Abstract: A search is presented for the pair production of new heavy resonances, each decaying into a top quark or antiquark and a gluon. The analysis uses data recorded with the CMS detector from proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb$^{-1}$. Events with one muon or electron, multiple jets, and missing transverse momentum are selected. After using a deep neural network to enrich the data sample with signal-like events, distributions in the scalar sum of the transverse momenta of all reconstructed objects are analyzed in search for a signal. No significant deviations from the standard model predictions are found. Upper limits at 95% confidence level are set on the product of cross section times branching fraction squared for the pair production of two excited top quarks in the $ \mathrm{t}^{*} \to \mathrm{t}\mathrm{g} $ decay channel. The upper limits range from 0.12 pb to 0.8 fb for a $ \mathrm{t}^{*} $ with spin-1/2 and from 0.015 pb to 1.0 fb for a $ \mathrm{t}^{*} $ with spin-3/2. This corresponds to mass exclusion limits up to 1050 and 1700 GeV for spin-1/2 and spin-3/2 $ \mathrm{t}^{*} $ particles, respectively. | ||
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These preliminary results are superseded in this paper, Submitted to EPJC. The superseded preliminary plots can be found here. |
Figures | |
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Figure 1:
Representive Feynman diagram of the signal process at leading order. |
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Figure 2:
Distributions in $ S_{\mathrm{T}} $ for $ \mathrm{t}^{*}\overline{\mathrm{t}}{}^{*} $ signal samples with different simulated values of $ m_{\mathrm{t}^{*}} $, for spin-1/2 (solid lines) and spin-3/2 (dashed lines) resonances. |
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Figure 3:
Two-dimensional distribution in 1 $1 - s_{\text{DNN}} $ versus $ S_{\mathrm{T}} $ for simulated $ \mathrm{t} \overline{\mathrm{t}} $ events. The function $ f(S_{\mathrm{T}}, 30%) $ (red line) is defined through a 30% selection efficiency of $ \mathrm{t} \overline{\mathrm{t}} $ events, i.e., 30% of the $ \mathrm{t} \overline{\mathrm{t}} $ events are below this function in each bin of $ S_{\mathrm{T}} $. |
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Figure 4:
The simulation-based ratios between the $ S_{\mathrm{T}} $ distributions in the SRs and CRs for the muon (left) and electron (right) channels. Two functions are fit to each ratio, and the average is the final transfer function used for the nontop background estimation. The statistical uncertainty in the transfer function is shown as a grey band. |
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Figure 4-a:
The simulation-based ratios between the $ S_{\mathrm{T}} $ distributions in the SRs and CRs for the muon (left) and electron (right) channels. Two functions are fit to each ratio, and the average is the final transfer function used for the nontop background estimation. The statistical uncertainty in the transfer function is shown as a grey band. |
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Figure 4-b:
The simulation-based ratios between the $ S_{\mathrm{T}} $ distributions in the SRs and CRs for the muon (left) and electron (right) channels. Two functions are fit to each ratio, and the average is the final transfer function used for the nontop background estimation. The statistical uncertainty in the transfer function is shown as a grey band. |
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Figure 5:
Distributions in $ S_{\mathrm{T}} $ in the VR for the muon (left) and electron (right) channels. The total uncertainty is shown as hatched bands. The signal distributions are scaled to the cross sections predicted by theory. Ratios of data to the expected backgrounds are shown below the distributions. |
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Figure 5-a:
Distributions in $ S_{\mathrm{T}} $ in the VR for the muon (left) and electron (right) channels. The total uncertainty is shown as hatched bands. The signal distributions are scaled to the cross sections predicted by theory. Ratios of data to the expected backgrounds are shown below the distributions. |
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Figure 5-b:
Distributions in $ S_{\mathrm{T}} $ in the VR for the muon (left) and electron (right) channels. The total uncertainty is shown as hatched bands. The signal distributions are scaled to the cross sections predicted by theory. Ratios of data to the expected backgrounds are shown below the distributions. |
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Figure 6:
Distributions in $ S_{\mathrm{T}} $ in the SR for the muon (left) and electron (right) channels, after a background-only fit to the data. The signal distributions are scaled to the cross section predicted by the theory. The hatched bands show the post-fit uncertainty band, combining all sources of uncertainty. The ratio of data to the background predictions is shown in the panels below the distributions. |
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Figure 6-a:
Distributions in $ S_{\mathrm{T}} $ in the SR for the muon (left) and electron (right) channels, after a background-only fit to the data. The signal distributions are scaled to the cross section predicted by the theory. The hatched bands show the post-fit uncertainty band, combining all sources of uncertainty. The ratio of data to the background predictions is shown in the panels below the distributions. |
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Figure 6-b:
Distributions in $ S_{\mathrm{T}} $ in the SR for the muon (left) and electron (right) channels, after a background-only fit to the data. The signal distributions are scaled to the cross section predicted by the theory. The hatched bands show the post-fit uncertainty band, combining all sources of uncertainty. The ratio of data to the background predictions is shown in the panels below the distributions. |
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Figure 7:
Expected and observed 95% CL upper limits on the product of the $ \mathrm{t}^{*}\overline{\mathrm{t}}{}^{*} $ production cross section and the branching fraction squared $ \mathcal{B}^2(\mathrm{t}^{*} \to \mathrm{t}\mathrm{g}) $ for a spin-1/2 $ \mathrm{t}^{*} $ as a function of $ m_{\mathrm{t}^{*}} $. The inner (green) and outer (yellow) bands give the central probability intervals containing 68 and 95% of the expected upper limits under the background-only hypothesis. The cross section predicted by theory, following the EFT approach introduced in Ref. [25], is shown in blue, assuming $ \mathcal{B}(\mathrm{t}^{*} \to \mathrm{t}\mathrm{g})= $ 1. |
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Figure 8:
Expected and observed 95% CL upper limits on the product of the $ \mathrm{t}^{*}\overline{\mathrm{t}}{}^{*} $ production cross section and the branching fraction squared $ \mathcal{B}^2(\mathrm{t}^{*} \to \mathrm{t}\mathrm{g}) $ for a spin-3/2 $ \mathrm{t}^{*} $ as a function of $ m_{\mathrm{t}^{*}} $. The inner (green) and outer (yellow) bands give the central probability intervals containing 68 and 95% of the expected upper limits under the background-only hypothesis. The cross section predicted by theory, following the EFT approach introduced in Ref. [25], is shown in blue, assuming $ \mathcal{B}(\mathrm{t}^{*} \to \mathrm{t}\mathrm{g})= $ 1. The results of the previous CMS analysis [29], using data corresponding to an integrated luminosity of 35.9 fb$ ^{-1} $, are shown in red. |
Summary |
A search for the pair production of heavy resonances $ \mathrm{t}^{*} $ has been presented, where the $ \mathrm{t}^{*} $ couples predominantly to gluons and decays to a top quark and a gluon, $ \mathrm{t}^{*} \to \mathrm{t}\mathrm{g} $. Both spin-1/2 and spin-3/2 resonances are considered. The analysis uses 13 TeV proton-proton collision data collected by the CMS experiment between 2016 and 2018, corresponding to an integrated luminosity of 138 fb$ ^{-1} $. The final state analyzed consists of a lepton with high transverse momentum, missing transverse momentum and several jets. A deep neural network is used to obtain a region enriched in potential signal events. With a two-step decorrelation procedure, independence of the deep neural network output from the sensitive variable $ S_{\mathrm{T}} $ has been achieved, where $ S_{\mathrm{T}} $ is the scalar sum of the transverse momenta of the selected lepton and jets, and the missing transverse momentum. No statistically significant deviation from the background prediction was found. Upper limits at 95% confidence level are derived on the $ \mathrm{t}^{*}\overline{\mathrm{t}}{}^{*} $ production cross section and branching fraction squared for $ \mathrm{t}^{*} \to \mathrm{t}\mathrm{g} $. These are found between 0.12 pb and 0.8 fb for a spin-1/2 $ \mathrm{t}^{*} $ and between 0.015 pb and 1.0 fb for a spin-3/2 $ \mathrm{t}^{*} $, depending on the $ \mathrm{t}^{*} $ mass. A comparison of these limits with the theory predictions results in lower mass limits for the $ \mathrm{t}^{*} $ resonances, where the existence of a spin-1/2 $ \mathrm{t}^{*} $ is excluded below a mass of 1050 GeV and for a spin-3/2 $ \mathrm{t}^{*} $ below a mass of 1700 GeV. These are the most stringent limits to date and the first exclusion limit for a spin-1/2 $ \mathrm{t}^{*} $ resonance. The results substantially improve the spin-3/2 exclusion limits compared to previous results. |
References | ||||
1 | 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 |
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 | H. Georgi, L. Kaplan, D. Morin, and A. Schenk | Effects of top compositeness | PRD 51 (1995) 3888 | hep-ph/9410307 |
4 | B. Lillie, J. Shu, and T. M. P. Tait | Top compositeness at the Tevatron and LHC | JHEP 04 (2008) 087 | 0712.3057 |
5 | A. Pomarol and J. Serra | Top quark compositeness: Feasibility and implications | PRD 78 (2008) 074026 | 0806.3247 |
6 | K. Kumar, T. M. P. Tait, and R. Vega-Morales | Manifestations of top compositeness at colliders | JHEP 05 (2009) 022 | 0901.3808 |
7 | D. Buarque Franzosi and A. Tonero | Top-quark partial compositeness beyond the effective field theory paradigm | JHEP 04 (2020) 040 | 1908.06996 |
8 | G. Panico | Top compositeness, flavor and naturalness | in 10th International Workshop on Top Quark Physics. 201 (1900) 8 |
1801.03882 |
9 | A. Pierce and Y. Zhao | Naturalness from a composite top? | JHEP 01 (2017) 054 | 1607.01318 |
10 | N. Arkani-Hamed, A. G. Cohen, E. Katz, and A. E. Nelson | The littlest Higgs | JHEP 07 (2002) 034 | hep-ph/0206021 |
11 | N. Arkani-Hamed, A. G. Cohen, and H. Georgi | Electroweak symmetry breaking from dimensional deconstruction | PLB 513 (2001) 232 | hep-ph/0105239 |
12 | M. Perelstein | Little Higgs models and their phenomenology | Prog. Part. Nucl. Phys. 58 (2007) 247 | hep-ph/0512128 |
13 | A. Ahmed, M. Lindner, and P. Saake | Conformal little Higgs models | PRD 109 (2024) 075041 | 2309.07845 |
14 | L. Randall and R. Sundrum | A large mass hierarchy from a small extra dimension | PRL 83 (1999) 3370 | hep-ph/9905221 |
15 | T. Gherghetta and A. Pomarol | Bulk fields and supersymmetry in a slice of AdS | NPB 586 (2000) 141 | hep-ph/0003129 |
16 | S. B. Giddings, S. Kachru, and J. Polchinski | Hierarchies from fluxes in string compactifications | PRD 66 (2002) 106006 | hep-th/0105097 |
17 | K. Agashe, R. Contino, and A. Pomarol | The minimal composite Higgs model | NPB 719 (2005) 165 | hep-ph/0412089 |
18 | CMS Collaboration | Search for electroweak production of a vector-like T quark using fully hadronic final states | JHEP 01 (2020) 036 | 1909.04721 |
19 | CMS Collaboration | Search for pair production of vector-like quarks in leptonic final states in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JHEP 07 (2023) 020 | 2209.07327 |
20 | CMS Collaboration | Search for pair production of vector-like quarks in the $ \mathrm{b}\mathrm{W}\overline{\mathrm{b}}\mathrm{W} $ channel from proton-proton collisions at $ \sqrt{s}= $ 13 TeV | PLB 779 (2018) 82 | 1710.01539 |
21 | CMS Collaboration | Search for single production of a vector-like T quark decaying to a top quark and a Z boson in the final state with jets and missing transverse momentum at $ \sqrt{s} = $ 13 TeV | JHEP 05 (2022) 093 | 2201.02227 |
22 | ATLAS Collaboration | Search for singly produced vector-like top partners in multilepton final states with 139 $ \mathrm{fb}^{-1} $ of pp collision data at $ \sqrt{s} = $ 13 TeV with the ATLAS detector | PRD 109 (2024) 112012 | 2307.07584 |
23 | ATLAS Collaboration | Search for pair-produced vector-like top and bottom partners in events with large missing transverse momentum in pp collisions with the ATLAS detector | EPJC 83 (2023) 719 | 2212.05263 |
24 | ATLAS Collaboration | Search for pair-production of vector-like quarks in pp collision events at $ \sqrt{s}= $ 13 TeV with at least one leptonically decaying Z boson and a third-generation quark with the ATLAS detector | PLB 843 (2023) 138019 | 2210.15413 |
25 | H. Alhazmi, J. H. Kim, K. Kong, and I. M. Lewis | Shedding light on top partner at the LHC | JHEP 01 (2019) 139 | 1808.03649 |
26 | J. Berger, J. Hubisz, and M. Perelstein | A fermionic top partner: Naturalness and the LHC | JHEP 07 (2012) 016 | 1205.0013 |
27 | W. Rarita and J. Schwinger | On a theory of particles with half integral spin | PR 60 (1941) 61 | |
28 | CMS Collaboration | Search for pair production of excited top quarks in the lepton + jets final state | JHEP 06 (2014) 125 | 1311.5357 |
29 | CMS Collaboration | Search for pair production of excited top quarks in the lepton + jets final state | PLB 778 (2018) 349 | 1711.10949 |
30 | CMS Collaboration | The CMS experiment at the CERN LHC | JINST 3 (2008) S08004 | |
31 | CMS Collaboration | Development of the CMS detector for the CERN LHC Run 3 | JINST 19 (2024) P05064 | CMS-PRF-21-001 2309.05466 |
32 | CMS Collaboration | Performance of the CMS level-1 trigger in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JINST 15 (2020) P10017 | CMS-TRG-17-001 2006.10165 |
33 | CMS Collaboration | The CMS trigger system | JINST 12 (2017) P01020 | CMS-TRG-12-001 1609.02366 |
34 | 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 |
35 | D. A. Dicus, D. Karabacak, S. Nandi, and S. K. Rai | Search for spin-3/2 quarks at the Large Hadron Collider | PRD 87 (2013) 015023 | 1208.5811 |
36 | P. Nason | A new method for combining NLO QCD with shower Monte Carlo algorithms | JHEP 11 (2004) 040 | hep-ph/0409146 |
37 | S. Frixione, P. Nason, and C. Oleari | Matching NLO QCD computations with parton shower simulations: The POWHEG method | JHEP 11 (2007) 070 | 0709.2092 |
38 | 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 |
39 | 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 |
40 | E. Re | Single-top $ {\mathrm{W}}{\mathrm{t}} $-channel production matched with parton showers using the POWHEG method | EPJC 71 (2011) 1547 | 1009.2450 |
41 | M. Czakon and A. Mitov | Top++: A program for the calculation of the top-pair cross-section at hadron colliders | Comput. Phys. Commun. 185 (2014) 2930 | 1112.5675 |
42 | T. Sjöstrand et al. | An introduction to PYTHIA 8.2 | Comput. Phys. Commun. 191 (2015) 159 | 1410.3012 |
43 | CMS Collaboration | Event generator tunes obtained from underlying event and multiparton scattering measurements | EPJC 76 (2016) 155 | CMS-GEN-14-001 1512.00815 |
44 | GEANT4 Collaboration | GEANT4--a simulation toolkit | NIM A 506 (2003) 250 | |
45 | NNPDF Collaboration | Parton distributions from high-precision collider data | EPJC 77 (2017) 663 | 1706.00428 |
46 | CMS Collaboration | Measurement of the inelastic proton-proton cross section at $ \sqrt{s}= $ 13 TeV | JHEP 07 (2018) 161 | CMS-FSQ-15-005 1802.02613 |
47 | CMS Collaboration | Particle-flow reconstruction and global event description with the CMS detector | JINST 12 (2017) P10003 | CMS-PRF-14-001 1706.04965 |
48 | CMS Collaboration | Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC | JINST 16 (2021) P05014 | CMS-EGM-17-001 2012.06888 |
49 | CMS Collaboration | ECAL 2016 refined calibration and Run2 summary plots | CMS Detector Performance Summary CMS-DP-2020-021, 2020 CDS |
|
50 | CMS Collaboration | Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JINST 13 (2018) P06015 | CMS-MUO-16-001 1804.04528 |
51 | 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 |
52 | CMS Collaboration | Performance of the reconstruction and identification of high-momentum muons in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JINST 15 (2020) P02027 | CMS-MUO-17-001 1912.03516 |
53 | M. Cacciari, G. P. Salam, and G. Soyez | The anti-$ k_{\mathrm{T}} $ jet clustering algorithm | JHEP 04 (2008) 063 | 0802.1189 |
54 | M. Cacciari, G. P. Salam, and G. Soyez | FastJet user manual | EPJC 72 (2012) 1896 | 1111.6097 |
55 | D. Bertolini, P. Harris, M. Low, and N. Tran | Pileup per particle identification | JHEP 10 (2014) 059 | 1407.6013 |
56 | CMS Collaboration | Pileup mitigation at CMS in 13 TeV data | JINST 15 (2020) P09018 | CMS-JME-18-001 2003.00503 |
57 | CMS Collaboration | Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV | JINST 12 (2017) P02014 | CMS-JME-13-004 1607.03663 |
58 | T. Lapsien, R. Kogler, and J. Haller | A new tagger for hadronically decaying heavy particles at the LHC | EPJC 76 (2016) 600 | 1606.04961 |
59 | CMS Collaboration | Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques | JINST 15 (2020) P06005 | CMS-JME-18-002 2004.08262 |
60 | R. Kogler | Advances in jet substructure at the LHC: Algorithms, measurements and searches for new physical phenomena | volume 284 of Springer Tracts Mod. Phys. Springer, ISBN 978-3-030-72857-1, 978-3-030-72858-8, 2021 link |
|
61 | J. Thaler and K. Van Tilburg | Identifying boosted objects with $ N $-subjettiness | JHEP 03 (2011) 015 | 1011.2268 |
62 | J. Thaler and K. Van Tilburg | Maximizing boosted top identification by minimizing $ N $-subjettiness | JHEP 02 (2012) 093 | 1108.2701 |
63 | CMS Collaboration | Search for a heavy resonance decaying into a top quark and a W boson in the lepton+jets final state at $ \sqrt{s} $ = 13 TeV | JHEP 04 (2022) 048 | 2111.10216 |
64 | CMS Collaboration | Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV | JINST 13 (2018) P05011 | CMS-BTV-16-002 1712.07158 |
65 | E. Bols et al. | Jet flavour classification using DeepJet | JINST 15 (2020) P12012 | 2008.10519 |
66 | CMS Collaboration | Performance of the DeepJet b tagging algorithm using 41.9/fb of data from proton-proton collisions at 13 TeV with phase 1 CMS detector | CMS Detector Performance Note CMS-DP-2018-058, 2018 CDS |
|
67 | CMS Collaboration | Performance of missing transverse momentum reconstruction in proton-proton collisions at $ \sqrt{s} = $ 13\,TeV using the CMS detector | JINST 14 (2019) P07004 | CMS-JME-17-001 1903.06078 |
68 | CMS Collaboration | Search for resonant $ \mathrm{t}\overline{\mathrm{t}} $ production in proton-proton collisions at $ \sqrt{s}= $ 13 TeV | JHEP 04 (2019) 031 | 1810.05905 |
69 | J. Dolen et al. | Thinking outside the ROCs: Designing decorrelated taggers (DDT) for jet substructure | JHEP 05 (2016) 156 | 1603.00027 |
70 | CMS Collaboration | Measurement of the differential cross section for top quark pair production in pp collisions at $ \sqrt{s}= $ 8 TeV | EPJC 75 (2015) 542 | CMS-TOP-12-028 1505.04480 |
71 | CMS Collaboration | Measurement of the $ {\mathrm{t}\overline{\mathrm{t}}} $ production cross section in the all-jets final state in pp collisions at $ \sqrt{s}= $ 8 TeV | EPJC 76 (2016) 128 | CMS-TOP-14-018 1509.06076 |
72 | CMS Collaboration | Precision luminosity measurement in proton-proton collisions at $ \sqrt{s} = $ 13 TeV in 2015 and 2016 at CMS | EPJC 81 (2021) 800 | CMS-LUM-17-003 2104.01927 |
73 | CMS Collaboration | CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} $ = 13 TeV | CMS Physics Analysis Summary, 2018 link |
CMS-PAS-LUM-17-004 |
74 | CMS Collaboration | CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} $ = 13 TeV | CMS Physics Analysis Summary, 2019 link |
CMS-PAS-LUM-18-002 |
75 | J. Butterworth et al. | PDF4LHC recommendations for LHC Run II | JPG 43 (2016) 023001 | 1510.03865 |
76 | ATLAS and CMS Collaborations, and LHC Higgs Combination Group | Procedure for the LHC Higgs boson search combination in Summer 2011 | CMS Note CMS-NOTE-2011-005, ATL-PHYS-PUB-2011-11, 2011 | |
77 | A. L. Read | Presentation of search results: The CL$ _{\text{s}} $ technique | JPG 28 (2002) 2693 | |
78 | T. Junk | Confidence level computation for combining searches with small statistics | NIM A 434 (1999) 435 | hep-ex/9902006 |
79 | G. Cowan, K. Cranmer, E. Gross, and O. Vitells | Asymptotic formulae for likelihood-based tests of new physics | EPJC 71 (2011) 1554 | 1007.1727 |
80 | CMS Collaboration | The CMS statistical analysis and combination tool: \textscCombine | Submitted to Comput. Softw. Big Sci, 2024 | CMS-CAT-23-001 2404.06614 |
81 | W. Verkerke and D. P. Kirkby | The RooFit toolkit for data modeling | in Computing in High Energy and Nuclear Physics (CHEP03), L. Lyons and M. Karagoz, eds., 2003 | physics/0306116 |
82 | L. Moneta et al. | The RooStats project | in Proceedings of the 13th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, T. Speer et al., eds., 2010 link |
1009.1003 |
Compact Muon Solenoid LHC, CERN |