CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-EXO-24-028
Search for microscopic black holes and sphalerons in proton-proton collisions at $ \sqrt{s}= $ 13 TeV
Abstract: A search for microscopic black holes and sphalerons using proton-proton collisions at $ \sqrt{s} = $ 13 TeV recorded by the CMS detector during the 2016-2018 data taking, and corresponding to an integrated luminosity of 138 fb$^{-1} $, is presented. Two data-driven search strategies are used. Model independent limits on the cross section of a new physics signal with multiple jets and leptons are set using a method that relies on the shape invariance of the scalar sum of the transverse momenta of all objects in the event. Model dependent limits on black hole and sphaleron production are set using a newly introduced method that has been developed for the identification of collider events with distinct kinematic features by separating them into classes based on phase-space proximity. In the context of models with large extra dimensions, semiclassical black holes with masses below 9.0-11.4 TeV are excluded, significantly extending the reach in comparison to limits from previous searches. At 95% confidence limit, more than 3 extra dimensions are excluded for most models probed. Results of a dedicated search for electroweak sphalerons are used to derive an upper limit of 0.0025 at 95% confidence level on the fraction of all quark-quark interactions above the nominal threshold of 9 TeV energy for the sphaleron transition.
Figures Summary References CMS Publications
Figures

png pdf
Figure 1:
The $ S_\text{T} $ distribution (left) and sphericity distribution (right) for various black hole (with $ n = $ 2) and sphaleron signal models, together with simulated QCD multijet background.

png pdf
Figure 1-a:
The $ S_\text{T} $ distribution (left) and sphericity distribution (right) for various black hole (with $ n = $ 2) and sphaleron signal models, together with simulated QCD multijet background.

png pdf
Figure 1-b:
The $ S_\text{T} $ distribution (left) and sphericity distribution (right) for various black hole (with $ n = $ 2) and sphaleron signal models, together with simulated QCD multijet background.

png pdf
Figure 2:
SVM score distributions for simulated QCD multijets and selected black hole (with $ n = $ 2) and sphaleron models, before (left) and after (right) the sphericity requirement.

png pdf
Figure 2-a:
SVM score distributions for simulated QCD multijets and selected black hole (with $ n = $ 2) and sphaleron models, before (left) and after (right) the sphericity requirement.

png pdf
Figure 2-b:
SVM score distributions for simulated QCD multijets and selected black hole (with $ n = $ 2) and sphaleron models, before (left) and after (right) the sphericity requirement.

png pdf
Figure 3:
The SVM score vs. the $ S_\text{T} $ distributions for simulated QCD multijet background (left) and a black hole signal model with $ M_\text{D} = $ 2 TeV, $ M_\text{BH} = $ 10 TeV and $ n = $ 2 (right).

png pdf
Figure 3-a:
The SVM score vs. the $ S_\text{T} $ distributions for simulated QCD multijet background (left) and a black hole signal model with $ M_\text{D} = $ 2 TeV, $ M_\text{BH} = $ 10 TeV and $ n = $ 2 (right).

png pdf
Figure 3-b:
The SVM score vs. the $ S_\text{T} $ distributions for simulated QCD multijet background (left) and a black hole signal model with $ M_\text{D} = $ 2 TeV, $ M_\text{BH} = $ 10 TeV and $ n = $ 2 (right).

png pdf
Figure 4:
The $ S_\text{T} $ distribution in the SI-VR region in data, indicated by the black markers. The background prediction is represented by the red line, and the gray band corresponds to the background modeling uncertainty.

png pdf
Figure 5:
Post-fit $ S_\text{T} $ distributions in the PS-VR-FAIL (left) and PS-VR-PASS (right) regions in data. The gray shaded areas include both statistical and systematic uncertainties on the background prediction. The red line corresponds to the signal model with B1, $ M_\text{D} = $ 2 TeV, $ M_\text{BH} = $ 10 TeV, and $ n = $ 2.

png pdf
Figure 6:
The $ S_\text{T} $ distribution in the $ N \geq $ 4 SI-SR region in data, indicated by the black markers, with background prediction, represented by the red line, and its uncertainty, denoted with the gray band.

png pdf
Figure 7:
Expected and observed model independent 95% CL limits for $ N \geq $ 4 (left) and observed limits with different minimum object multiplicity requirements (right).

png pdf
Figure 7-a:
Expected and observed model independent 95% CL limits for $ N \geq $ 4 (left) and observed limits with different minimum object multiplicity requirements (right).

png pdf
Figure 7-b:
Expected and observed model independent 95% CL limits for $ N \geq $ 4 (left) and observed limits with different minimum object multiplicity requirements (right).

png pdf
Figure 8:
Post-fit $ S_\text{T} $ distributions in the PS-FAIL (left) and PS-PASS (right) regions in data. The gray shaded area includes both statistical and systematic uncertainties on the background prediction while the red and blue lines are B1 signal examples as noted in the legends.

png pdf
Figure 9:
Expected and observed 95% CL upper limits for B1 models with $ M_\text{D} = $ 2 TeV (left) and $ M_\text{D} = $ 4 TeV (right). The blue curves represent the theoretical cross section values.

png pdf
Figure 9-a:
Expected and observed 95% CL upper limits for B1 models with $ M_\text{D} = $ 2 TeV (left) and $ M_\text{D} = $ 4 TeV (right). The blue curves represent the theoretical cross section values.

png pdf
Figure 9-b:
Expected and observed 95% CL upper limits for B1 models with $ M_\text{D} = $ 2 TeV (left) and $ M_\text{D} = $ 4 TeV (right). The blue curves represent the theoretical cross section values.

png pdf
Figure 10:
Excluded $ M_\text{BH} $ values as a function of $ M_\text{D} $ and $ n $ for a variety of BLACKMAX (left) and CHARYBDIS2 (right) BH models.

png pdf
Figure 10-a:
Excluded $ M_\text{BH} $ values as a function of $ M_\text{D} $ and $ n $ for a variety of BLACKMAX (left) and CHARYBDIS2 (right) BH models.

png pdf
Figure 10-b:
Excluded $ M_\text{BH} $ values as a function of $ M_\text{D} $ and $ n $ for a variety of BLACKMAX (left) and CHARYBDIS2 (right) BH models.

png pdf
Figure 11:
Expected and observed 95% CL upper limits on the cross-section of the black hole production as a function of the number of extra dimensions for B1 with $ M_{D} = $ 3 TeV and $ M_{BH}= $ 10 TeV (left), and for $ M_{BH}= $ 11 TeV (right).

png pdf
Figure 11-a:
Expected and observed 95% CL upper limits on the cross-section of the black hole production as a function of the number of extra dimensions for B1 with $ M_{D} = $ 3 TeV and $ M_{BH}= $ 10 TeV (left), and for $ M_{BH}= $ 11 TeV (right).

png pdf
Figure 11-b:
Expected and observed 95% CL upper limits on the cross-section of the black hole production as a function of the number of extra dimensions for B1 with $ M_{D} = $ 3 TeV and $ M_{BH}= $ 10 TeV (left), and for $ M_{BH}= $ 11 TeV (right).

png pdf
Figure 12:
The maximum number of excluded extra dimensions as a function of $ M_D $, $ M_{BH} $ values and various models using BLACKMAX (left) and CHARYBDIS2 (right) generators. The points seen near $ n_{\textrm{extra}}^{\textrm{max}} $ values of 2 and 6 are to be understood as underflow and overflow values given the simulation parameter choices at $ n=$ 2, 4, 6.

png pdf
Figure 12-a:
The maximum number of excluded extra dimensions as a function of $ M_D $, $ M_{BH} $ values and various models using BLACKMAX (left) and CHARYBDIS2 (right) generators. The points seen near $ n_{\textrm{extra}}^{\textrm{max}} $ values of 2 and 6 are to be understood as underflow and overflow values given the simulation parameter choices at $ n=$ 2, 4, 6.

png pdf
Figure 12-b:
The maximum number of excluded extra dimensions as a function of $ M_D $, $ M_{BH} $ values and various models using BLACKMAX (left) and CHARYBDIS2 (right) generators. The points seen near $ n_{\textrm{extra}}^{\textrm{max}} $ values of 2 and 6 are to be understood as underflow and overflow values given the simulation parameter choices at $ n=$ 2, 4, 6.

png pdf
Figure 13:
Expected and observed 95% CL upper limits on the pre-exponential factor for the sphaleron model with $ p({N_\text{CS}})= $ 0.5 (left), and observed limits with $ p({N_\text{CS}})= $ 0.0, 0.5 and 1 (right).

png pdf
Figure 13-a:
Expected and observed 95% CL upper limits on the pre-exponential factor for the sphaleron model with $ p({N_\text{CS}})= $ 0.5 (left), and observed limits with $ p({N_\text{CS}})= $ 0.0, 0.5 and 1 (right).

png pdf
Figure 13-b:
Expected and observed 95% CL upper limits on the pre-exponential factor for the sphaleron model with $ p({N_\text{CS}})= $ 0.5 (left), and observed limits with $ p({N_\text{CS}})= $ 0.0, 0.5 and 1 (right).
Summary
A dedicated search for black holes and sphalerons produced in proton-proton collisions at $ \sqrt{s} = $ 13 TeV using the CMS detector has been presented. No excesses above SM background predictions are observed, enabling 95% confidence level upper limits to be extracted that are both model independent as a function of $ S_\text{T} $ and object multiplicity, and model dependent on the cross section of numerous black hole and sphaleron models. The model independent results demonstrate approximately a factor of four improvement over the last published CMS analysis. The model dependent results exclude semiclassical black holes with masses below 9.0-11.4 TeV, extending the the exclusion reach by 1-1.6 TeV, depending on the model and the number of extra dimensions. This includes the first reported limits on the number of extra dimensions as a function of $ M_\text{D} $ from the LHC. The limits on the sphaleron pre-exponential factor were strengthened by an order of magnitude compared to previously published results. These are the most stringent limits on the sphaleron pre-exponential factor to date. A significant improvement in the model dependent study over previous results comes from an improved understanding of parton distribution functions. Additional significant gains can be traced to both the increased luminosity and the enhanced background rejection provided by the sphericity and phase space distance event selection requirements.
References
1 I. Antoniadis, N. Arkani-Hamed, S. Dimopoulos, and G. R. Dvali New dimensions at a millimeter to a Fermi and superstrings at a TeV PLB 436 (1998) 257 hep-ph/9804398
2 N. Arkani-Hamed, S. Dimopoulos, and G. R. Dvali The Hierarchy problem and new dimensions at a millimeter PLB 429 (1998) 263 hep-ph/9803315
3 N. Arkani-Hamed, S. Dimopoulos, and G. R. Dvali Phenomenology, astrophysics and cosmology of theories with submillimeter dimensions and TeV scale quantum gravity PRD 59 (1999) 086004 hep-ph/9807344
4 L. Randall and R. Sundrum An Alternative to compactification PRL 83 (1999) 4690 hep-th/9906064
5 L. Randall and R. Sundrum A Large mass hierarchy from a small extra dimension PRL 83 (1999) 3370 hep-ph/9905221
6 G. 't Hooft Symmetry Breaking Through Bell-Jackiw Anomalies PRL 37 (1976) 8
7 F. R. Klinkhamer and N. S. Manton A Saddle Point Solution in the Weinberg-Salam Theory PRD 30 (1984) 2212
8 S. H. H. Tye and S. S. C. Wong Bloch Wave Function for the Periodic Sphaleron Potential and Unsuppressed Baryon and Lepton Number Violating Processes PRD 92 (2015) 045005 1505.03690
9 J. Ellis and K. Sakurai Search for Sphalerons in Proton-Proton Collisions JHEP 04 (2016) 086 1601.03654
10 A. Papaefstathiou, S. Plätzer, and K. Sakurai On the phenomenology of sphaleron-induced processes at the LHC and beyond JHEP 12 (2019) 017 1910.04761
11 ATLAS Collaboration Search for strong gravity in multijet final states produced in pp collisions at $ \sqrt{s} = $ 13 TeV using the ATLAS detector at the LHC JHEP 03 (2016) 026 1512.02586
12 ATLAS Collaboration Search for quantum black hole production in lepton+jet final states using proton-proton collisions at $ \sqrt{s}= $ 13 TeV with the ATLAS detector PRD 109 (2024) 032010 2307.14967
13 CMS Collaboration Search for black holes and sphalerons in high-multiplicity final states in proton-proton collisions at $ \sqrt{s}= $ 13 TeV JHEP 11 (2018) 042 CMS-EXO-17-023
1805.06013
14 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 1003.4038
15 Tracker Group of the CMS Collaboration The CMS phase-1 pixel detector upgrade JINST 16 (2021) P02027 2012.14304
16 CMS Collaboration Description and performance of track and primary-vertex reconstruction with the CMS tracker JINST 9 (2014) P10009 CMS-TRK-11-001
1405.6569
17 CMS Collaboration Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, CMS, 2015
CDS
18 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
19 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
20 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
21 C. M. Harris, P. Richardson, and B. R. Webber CHARYBDIS: A Black hole event generator JHEP 08 (2003) 033 hep-ph/0307305
22 J. A. Frost et al. Phenomenology of Production and Decay of Spinning Extra-Dimensional Black Holes at Hadron Colliders JHEP 10 (2009) 014 0904.0979
23 D.-C. Dai et al. BlackMax: A black-hole event generator with rotation, recoil, split branes, and brane tension PRD 77 (2008) 076007 0711.3012
24 M. Trodden Electroweak baryogenesis Rev. Mod. Phys. 71 (1999) 1463 hep-ph/9803479
25 R. Frederix et al. The automation of next-to-leading order electroweak calculations JHEP 07 (2018) 185 1804.10017
26 J. Alwall et al. Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions EPJC 53 (2008) 473 0706.2569
27 CMS Collaboration Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements EPJC 80 (2020) 4 CMS-GEN-17-001
1903.12179
28 NNPDF Collaboration Parton distributions from high-precision collider data EPJC 77 (2017) 663 1706.00428
29 S. Creek, O. Efthimiou, P. Kanti, and K. Tamvakis Greybody factors for brane scalar fields in a rotating black-hole background PRD 75 (2007) 084043 hep-th/0701288
30 S. Creek, O. Efthimiou, P. Kanti, and K. Tamvakis Scalar Emission in the Bulk in a Rotating Black Hole Background PLB 656 (2007) 102 0709.0241
31 H. Yoshino and V. S. Rychkov Improved analysis of black hole formation in high-energy particle collisions PRD 71 (2005) 104028 hep-th/0503171
32 B. Koch, M. Bleicher, and S. Hossenfelder Black hole remnants at the LHC JHEP 10 (2005) 053 hep-ph/0507138
33 H. Stoecker Stable TeV - Black Hole Remnants at the LHC: Discovery through Di-Jet Suppression, Mono-Jet Emission and a Supersonic Boom in the Quark-Gluon Plasma Int. J. Mod. Phys. D 16 (2007) 185 hep-ph/0605062
34 F. Scardigli Glimpses on the micro black hole Planck phase Symmetry 12 (2020) 1519 0809.1832
35 S. Dimopoulos and R. Emparan String balls at the LHC and beyond PLB 526 (2002) 393 hep-ph/0108060
36 D. M. Gingrich and K. Martell Study of highly-excited string states at the Large Hadron Collider PRD 78 (2008) 115009 0808.2512
37 CMS Collaboration Upgrades for the CMS simulation J. Phys. Conf. Ser. 608 (2015) 012056
38 A. J. Larkoski and T. Melia Covariantizing phase space PRD 102 (2020) 094014 2008.06508
39 T. Cai et al. The phase space distance between collider events JHEP 09 (2024) 054 2405.16698
40 CMS Collaboration Jet algorithms performance in 13 TeV data CMS Physics Analysis Summary, CMS, 2017
link
CMS-PAS-JME-16-003
41 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
42 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
43 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
44 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
45 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
46 C. Cortes and V. Vapnik Support-vector networks Machine Learning 20 (1995) 273
47 G. Punzi Sensitivity of searches for new signals and its optimization e, 2003
Conf 030908 (2003) MODT002
physics/0308063
48 L. Corcodilos The 2D Alphabet background modeling method and its use in the search for an excited bottom quark PhD thesis, Johns Hopkins University, 2021
link
49 R. A. Fisher On the interpretation of $ \chi^2 $ from contingency tables, and the calculation of p J. Roy. Stat. Soc. 85 (1922) 87
50 S. Baker and R. D. Cousins Clarification of the use of chi-square and likelihood functions in fits to histograms NIM 221 (1984) 437
51 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, CMS, 2018
link
CMS-PAS-LUM-17-004
52 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at $ \sqrt{s} = $ 13 TeV CMS Physics Analysis Summary, CMS, 2019
link
CMS-PAS-LUM-18-002
53 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
54 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
Compact Muon Solenoid
LHC, CERN