Chapter III: Supersymmetry and searches at the LHC
4.3 History of data scouting in CMS
The idea of data scouting was conceived in Run I of CMS, and the technique was used to perform searches for exotic resonances decaying to dijets. Dijet resonance searches tend to be severely constrained by trigger requirements: events with two back-to-back jets are ubiquitous at hadron colliders and a trigger that recorded all of them would have prohibitively high rate.
In CMS, dijet searches traditionally use HT triggers, which were discussed in Sec- tion 4.1. TheHT trigger threshold rises with increasing LHC energy and luminos- ity, and this implies that the lowest resonance mass the search can probe is pushed higher and higher over time.
This challenge is illustrated by the green and light blue curves in Figure 4.2, which indicate exclusion limits from the LHC experiments on production of a hypothetical Z’ resonance decaying to quarks. The LHC sets state-of-the-art limits at high Z’
mass, but at lower masses the limits from standard offline dijet resonance searches are nonexistent (for CMS) or worse than those from the Tevatron (for ATLAS, who use prescaled trigger paths to extend their dijet search to lower masses). The ATLAS limit (light blue curve) provides an explicit demonstration of the worsening of the limits due to trigger restrictions. Their limits at lower masses rely on data from triggers with increasingly high prescales, which are needed in order to keep the rate low. The trigger with the lowest threshold (selecting jets with pT between 59 and 99 GeV) has a prescale factor of 460000 [99].
Data scouting provides dijet searches with relief from the rising HT trigger rates.
This was first demonstrated in 2011, when a data scouting trigger path was deployed in CMS for a few hours of data taking at 7 TeV. The trigger had a L1 requirement of HT > 100 GeV, and it selected all events having eitherHT >350 GeV or dijet mass greater than 400 GeV at the HLT level. The only data recorded for each event was the collection of jets reconstructed with the HLT PF algorithm. These few hours’
worth of data, collected at the very end of the 2011 run period and corresponding to 0.13 fb−1of integrated luminosity, were sufficient to improve existing limits on
56
299 coupling g
Bof a hypothetical leptophobic resonance Z
0B→
300 q q ¯ as a function of its mass. The Z
0Bproduction cross
301 section scales with the square of the coupling g
B. Figure 4
302 shows the upper limits obtained with the data scouting
303 technique in the mass region from 500 to 1200 GeV,
304 extending the coverage of previous CMS searches to below
305
1200 GeV. Previous exclusions obtained with similar
306 searches at various collider energies are also shown. As
307 a result of the large data set collected by the data scouting
308 stream, the bound on g
Bis improved by up to a factor of 3
309 for resonance masses between 500 and 800 GeV, compared
310 to previous searches. This corresponds to an order-of-
311 magnitude improvement in the cross section limit.
312 In summary, a search for narrow resonances decaying
313 into two jets was performed using data from proton-proton
314 collisions recorded by the CMS experiment at
315
p ffiffiffi s
¼ 8 TeV, corresponding to an integrated luminosity
316 of 18.8 fb
−1. The novel technique of data scouting was
317 used; by reducing the information stored per event, multijet
318 events could be collected in sufficiently large samples that a
319 sensitive search for dijet resonances down to masses as low
320 as 500 GeV was possible. No evidence for a narrow
321 resonance is found. Model-independent upper limits on
322 production cross sections are derived for quark-quark,
323 quark-gluon, and gluon-gluon resonances. Based on these
324 results, new limits are set on an extensive selection of
325
narrow s-channel resonances over mass ranges not
326 excluded by previous searches at hadron colliders.
327 Bounds on the coupling of a hypothetical leptophobic
328 resonance decaying to quark-antiquark are also provided,
329 as a function of the resonance mass. The limits obtained
330 are the most stringent to date in the dijet final state for
331 narrow resonance masses between about 500 and 800 GeV.
332 We congratulate our colleagues in the CERN accelerator
333 departments for the excellent performance of the LHC and
thank the technical and administrative staffs at CERN and 334
at other CMS institutes for their contributions to the success
335of the CMS effort. In addition, we gratefully acknowledge 336
the computing centers and personnel of the Worldwide 337
LHC Computing Grid for delivering so effectively the 338
computing infrastructure essential to our analyses. Finally, 339
we acknowledge the enduring support for the construction 340
and operation of the LHC and the CMS detector provided 341
by the following funding agencies: BMWFW and FWF 342
(Austria); FNRS and FWO (Belgium); CNPq, CAPES, 343
FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; 344
CAS, MoST, and NSFC (China); COLCIENCIAS
345(Colombia); MSES and CSF (Croatia); RPF (Cyprus); 346
MoER, ERC IUT and ERDF (Estonia); Academy of 347
Finland, MEC, and HIP (Finland); CEA and CNRS/ 348
IN2P3 (France); BMBF, DFG, and HGF (Germany); 349
GSRT (Greece); OTKA and NIH (Hungary); DAE and
350DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP
351and NRF (Republic of Korea); LAS (Lithuania); MOE and
352UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS,
353SEP, and UASLP-FAI (Mexico); MBIE (New Zealand);
354PAEC (Pakistan); MSHE and NSC (Poland); FCT
355(Portugal); JINR (Dubna); MON, RosAtom, RAS and
356RFBR (Russia); MESTD (Serbia); SEIDI and CPAN
357(Spain); Swiss Funding Agencies (Switzerland); MST
358(Taipei); ThEPCenter, IPST, STAR and NSTDA
359(Thailand); TUBITAK and TAEK (Turkey); NASU and 360
SFFR (Ukraine); STFC (United Kingdom); DOE and 361
NSF (USA). 362
363 364 [1] C. Albajar et al. (UA1 Collaboration), Two-jet mass
365distributions at the CERN proton-antiproton collider, Phys. 366 Lett. B 209, 127 (1988). 367
[2] J. Alitti et al. (UA2 Collaboration), A measurement of two 368 jet decays of the W and Z bosons at the CERN pp ¯ collider,
369Z. Phys. C 49, 17 (1991). 370
[3] J. Alitti et al. (UA2 Collaboration), A search for new 371 intermediate vector bosons and excited quarks decaying 372 to two-jets at the CERN p p ¯ collider, Nucl. Phys. B400, 3 373 (1993). 374
[4] F. Abe et al. (CDF Collaboration), Two-jet invariant mass
375distribution at p ffiffiffi s 376
¼ 1.8 TeV, Phys. Rev. D 41, 1722 (1990). 377
[5] F. Abe et al. (CDF Collaboration), Search for Quark 378 Compositeness, Axigluons and Heavy Particles Using the 379 Dijet Invariant Mass Spectrum Observed in p p ¯ Collisions, 380 Phys. Rev. Lett. 71, 2542 (1993). 381
[6] F. Abe et al. (CDF Collaboration), Search for New Particles 382 Decaying to Dijets in p p ¯ Collisions at p ffiffiffi s 383
¼ 1.8 TeV, Phys. Rev. Lett. 74, 3538 (1995). 384
[7] F. Abe et al. (CDF Collaboration), Search for new particles
385decaying to dijets at CDF, Phys. Rev. D 55, R5263 (1997). 386 [8] T. Aaltonen et al. (CDF Collaboration), Search for new 387 particles decaying into dijets in proton-antiproton collisions 388 at p ffiffiffi s 389
¼ 1.96 TeV, Phys. Rev. D 79, 112002 (2009).
[GeV]
ZB
M
100 200 300 400 1000 2000 3000
0 0.5 1 1.5
2 2.5
= 1.96 TeV, [21]
s , p p
(2009) CDF 1.13 fb-1
(8 TeV) 18.8 fb-1
CMS
(Data scouting) CMS 18.8 fb-1
(Expected) CMS 18.8 fb-1
1 std. deviation (Expected)
±
2 std. deviation (Expected)
±
= 0.63 TeV, [21]0 63 TeV [2 ss
, pp pp
(1993)( ) UA2 10.9 pbp -1
= 1.8 TeV, [21]
s , p p
(1997) CDF 106 pb-1
1000 200
(Gaussian resonance shapes) = 8 TeV, [14]
s pp,
(2015) ATLAS 20.3 fb-1
= 8 TeV, [18]
s pp,
(2015) CMS 19.7 fb-1
BgCoupling
F4:1 FIG. 4. Observed 95% CL upper limits on the coupling F4:2 g
Bof a hypothetical leptophobic resonance Z
0B→ q q ¯ [23]
F4:3 as a function of its mass. The results from this study are F4:4 compared to results obtained with similar searches at different
F4:5
collider energies [14,23].
2
3 4
5
5
[23]
[23]
[23] [19]
Figure 4.2: Limits on the coupling of a hypothetical leptophobic Z’ resonance as a function of the resonance mass, with results from a variety of hadron collider experiments. The green and light blue curves are the results from the CMS and ATLAS 2012 dijet resonance searches, respectively. The black curve and the green and yellow bands indicate the observed and expected limits from the CMS low-mass resonance search using data scouting [100].
a number of resonance models in the range 0.6-0.9 TeV [101]. The dijet mass spectrum observed in this search is displayed in the top part of Fig. 4.3.
After this success, a second scouting trigger was designed and deployed at the HLT for most of the 2012 CMS data taking period. The trigger requiredHT > 250 GeV and had a maximum rate of 1 kHz. This rate was too high for the PF algorithm to be run for every event, so the trigger instead reconstructed and saved calorimeter jets (‘calo jets’), which are clustered directly from energy deposits in the ECAL and HCAL. Calo jets require negligible HLT resources to reconstruct, and at high mo- mentum their mass resolution is adequate despite the lack of tracking information.
A dijet search was again conducted using the scouting dataset, and the resulting limits on massive Z’ resonances were the best to date between 500 and 800 GeV.
These limits are indicated by the black line in Fig. 4.2. The dijet mass spectrum from this search is shown in the bottom part of Fig. 4.3.
/dm (pb/GeV)σd
10-6
10-5
10-4
10-3
10-2
10-1
1 10
102 CMS Preliminary (0.13 fb-1)
Fit QCD Pythia
Jet Energy Scale Uncertainty
= 7 TeV s
| < 1.3 η
∆
| < 2.5, | η
| Wide Jets W’ (0.7 TeV)
D (0.7 TeV)
D (1.5 TeV)
Dijet Mass (GeV)
500 1000 1500 2000 2500 3000
Residuals
-2 -1 0 1 2
400 600 800 1000 1200 1400 1600 1800
[pb/GeV] jj / dmσd
−5
10
−4
10
−3
10
−2
10
−1
10 1 10
102 Data
Background fit
= 0.37) (M = 700 GeV, gB
Z'B
= 0.84) (M = 1200 GeV, gB
Z'B
Wide jets
| < 1.3 ηjj
| < 2.5, |∆
|η
(8 TeV) 18.8 fb-1
CMS
Dijet mass [GeV]
400 600 800 1000 1200 1400 1600 1800
statσ(Data-Fit)
−3 2
−
−1 0
1 2 3
Figure 4.3: Dijet mass spectra obtained in CMS searches using data scouting in 2011 [101] (top) and 2012 [100] (bottom). For each spectrum, a fit to a predefined functional form is displayed, along with the significance of the data’s deviation from the fit (bottom panel of each plot).