Search for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>Z</mml:mi><mml:mi>H</mml:mi><mml:mo>→</mml:mo><mml:msup><mml:mi>l</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>l</mml:mi><mml:mo>−</mml:mo></mml:msup><mml:mi>b</mml:mi><mml:mover accent="true"><mml:mi>b</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math>Production in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mn>4.2</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><m

Abazov, V. M.; Abbott, B.; Abolins, M.; Acharya, B. S.; Adams, M. R.; Adams, T.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Alverson, G.; Alves, G. A.; Ancu, L. S.; Aoki, M.; Arnoud, Y.; Arov, M.; Askew, A.; Åsman, B.; Atramentov, O.; Ávila, C.; Backusmayes, J.; Badaud, F.; Bagby, L.; Baldin, B.; Bandurin, D. V.; Banerjee, S.; Barberis, E.; Baringer, P.; Barreto, J.; Bartlett, J. F.; Bassler, U.; Beale, S.; Bean, A.; Begalli, M.; Begel, M.; Bélanger-Champagne, C.; Bellantoni, L.; Benitez, J. A.; Beri, S. B.; Bernardi, G.; Bernhard, R.; Bertram, I.; Besançon, M.; Beuselinck, R.; Bezzubov, V. A.; Bhat, P. C.; Bhatnagar, V.; Blazey, G.; Blessing, S.; Bloom, K.; Boehnlein, A.; Boline, D.; Bolton, T.; Boos, E.; Borissov, G.; Bose, T.; Brandt, A.; Brandt, O.; Brock, R.; Brooijmans, G.; Bross, A.; Brown, D.; Brown, J.; Bu, X. B.; Buchholz, D.; Buehler, M.; Buescher, V.; Bunichev, V.; Burdin, S.; Burnett, T. H.; Buszello, C. P.; Calpas, B.; Calvet, S.; Camacho-Pérez, E.; Carrasco-Lizarraga, M. A.; Carrera, E.; Casey, B. C.K.; Castilla‐Valdez, H.; Chakrabarti, S.; Chakraborty, D.; Chan, K. M.; Chandra, A.; Chen, G.; Chevalier-Théry, S.; Cho, D. K.; Cho, S. W.; Choi, S.; Choudhary, B. C.; Christoudias, T.; Cihangir, S.; Claes, D. R.; Clutter, J.; Cooke, M.; Cooper, W. E.; Corcoran, M.; Couderc, F.; Cousinou, M. C.; Croc, A.; Ćutts, D.; Wiok, M.; Das, Arindam; Davies, G.; De, K.; Jong, S. J. De; Cruz-Burelo, E. De La; Déliot, F.; Demarteau, M.; Démina, R.; Denisov, D.; Denisov, S. P.; Desai, S.; Devaughan, K.; Diehl, H. T.; Diesburg, M.; Dominguez, A.; Dorland, T.; Dubey, A.; Dudko, L.; Duggan, D.; Duperrin, A.; Dutt, S.; Dyshkant, A.; Eads, M.; Edmunds, D.; Ellison, J.; Elvira, V. D.; Enari, Y.; Eno, S. C.; Evans, H.; Evdokimov, A.; Евдокимов, В. Н.; Facini, G.; Ferapontov, A.; Ferbel, T.; Fiedler, F.; Filthaut, F.; Fisher, W. C.; Fisk, H. E.; Fortner, M.; Fox, H.; Fuess, S.; Gadfort, T.; García-Bellido, A.; Gavrilov, V.; Geist, W.; Geng, W.; Gerbaudo, D.; Gerber, C. E.; Gershtein, Y.; Ginther, G.; Golovanov, G.; Goussiou, A. G.; Grannis, P. D.; Greder, S.; Greenlee, H.; Greenwood, Z. D.; Gregores, E. M.; Grenier, G.; Gris, Ph.; Grivaz, J.-F.; Grohsjean, A.; Grünendahl, S.; Grünewald, M.; Guo, F.; Guo, J.; Gutiérrez, G.; Gutiérrez, P.; Haas, A.; Hagopian, S.; Haley, J.; Han, L.; Harder, K.; Harel, A.; Hauptman, J. M.; Hays, J.; Hebbeker, T.; Hedin, D.; Hegab, H.; Heinson, A. P.; Heintz, U.; Hensel, C.; Cruz, I. Heredia-De La; Herner, K.; Hesketh, G. G.; Hildreth, M.; Hirosky, R.; Hoang, T.; Hobbs, J.; Hoeneisen, B.; Hohlfeld, M.; Hossain, S.; Hubáček, Z.; Huske, N.; Hynek, V.; Iashvili, I.; Illingworth, R.; Ito, A. S.; Jabeen, S.; Jaffré, M.; Jain, S.; Jamin, D.; Jesik, R.; Johns, K. A.; Johnson, Mark D.; Johnston, D.; Jonckheere, A.; Jönsson, P.; Joshi, J.; Rozas, A. Juste; Kaadze, K.; Kajfasz, E.; Karmanov, D.; Kasper, P. A.; Katsanos, I.; Kehoe, R.; Kermiche, S.; Khalatyan, N.; Khanov, A.; Kharchilava, A.; Kharzheev, Y. N.; Khatidze, D.; Kirby, M.; Kohli, J. M.; Kozelov, A. V.; Kraus, J. K.; Kumar, Ashok; Kupčo, A.; Kurča, T.; Kuzmin, V. A.; Kvita, J.; Lammers, S.; Landsberg, G.; Lebrun, P.; Lee, H. S.; Lee, S. W.; Lee, W. M.; Lellouch, J.; Li, L.; Li, Q. Z.; Lietti, S. M.; Lim, J.; Lincoln, D.; Linnemann, J.; Lipaev, V. V.; Lipton, R.; Liu, Y.; Liu, Z.; Lobodenko, A.; Lokajı́ček, M.; Love, P. A.; Lubatti, H. J.; Luna-García, R.; Lyon, A. L.; Maciel, A. K.A.; Mackin, D.; Madar, R.; Magaña-Villalba, R.; Malik, S.; Malyshev, V. L.; Maravin, Y.; Martínez-Ortega, J.; McCarthy, R. L.; McGivern, C. L.; Meijer, M. M.; Melnitchouk, A.; Menezes, D.; Mercadante, P. G.; Merkin, M.; Meyer, A.; Meyer, J.; Mondal, N. K.; Muanza, G. S.; Mulhearn, M.; Nagy, E.; Naimuddin, M.; Narain, M.; Nayyar, R.; Neal, H. A.; Negret, J. P.; Neustroev, P.; Nilsen, H.; Novaes, S. F.; Nunnemann, T.; Obrant, G.; Onoprienko, D.; Orduna, J.; Osman, N.; Osta, J.; Garzón, G. J. Otero Y; Owen, M.; Padilla, M.; Pangilinan, M.; Parashar, N.; Parihar, V.; Park, S. K.; Parsons, J. A.; Partridge, R.; Parua, N.; Patwa, A.; Penning, B.; Perfilov, M.; Peters, K.; Peters, Y.; Petrillo, G.; Pétroff, P.; Piegaia, R.; Piper, J.; Pleier, M. A.; Podesta-Lerma, P. L.M.; Podstavkov, V. M.; Pol, M. E.; Polozov, P.; Popov, A.; Prewitt, M.; Price, D.; Protopopescu, S.; Qian, J.; Quadt, A.; Quinn, B.; Rangel, M. S.; Ranjan, K.; Ratoff, P. N.; Razumov, I.; Renkel, P.; Rich, P.; Rijssenbeek, M.; Ripp-Baudot, I.; Rizatdinova, F.; Rominsky, M.; Royon, C.; Rubinov, P.; Ruchti, R.; Safronov, G.; Sajot, G.; Sánchez-Hernández, A.; Sanders, M. P.; Sanghi, B.; Santos, A. S.; Savage, G.; Sawyer, L.; Scanlon, T.; Schamberger, R. D.; Scheglov, Y.; Schellman, H.; Schliephake, T.; Schlobohm, S.; Schwanenberger, C.; Schwienhorst, R.; Sekaric, J.; Severini, H.; Shabalina, E.; Shary, V.; Shchukin, A. A.; Shivpuri, R. K.; Šimák, V.; Sirotenko, V.; Skubic, P.; Slattery, P.; Smirnov, D.; Smith, K.; Snow, G. R.; Snow, J.; Snyder, S.; Söldner-Rembold, S.; Sonnenschein, L.; Sopczak, A.; Sosebee, M.; Soustružnı́k, K.; Spurlock, B.; Stark, J.; Stolin, V.; Stoyanova, D. A.; Strauss, E.; Strauss, M.; Strom, D.; Stutte, L.; Svoisky, P.; Takahashi, M.; Tanasijczuk, A. J.; Taylor, W.; Titov, M.; Tokmenin, V. V.; Tsybychev, D.; Tuchming, B.; Tully, C.; Tuts, P. M.; Uvarov, L.; Uvarov, S.; Uzunyan, S.; Kooten, R. Van; Leeuwen, W. M. Van; Varelas, N.; Varnes, E. W.; Vasilyev, I. A.; Verdier, P.; Vertogradov, L. S.; Verzocchi, M.; Vesterinen, M.; Vilanova, D.; Vint, P.; Vokáč, P.; Wahl, H. D.; Wang, Michael; Warchol, J.; Watts, G.; Wayne, M.; Weber, M.; Wetstein, M.; White, A.; Wicke, D.; Williams, Mark Richard James; Wilson, G. W.; Wimpenny, S.; Wobisch, M.; Wood, D.; Wyatt, T. R.; Xie, Y.; Xu, C.; Yacoob, S.; Yamada, R.; Yang, W. C.; Yasuda, T.; Yatsunenko, Y. A.; Ye, Z.; Yin, H.; Yip, K.; Yoo, H. D.; Youn, S. W.; Yu, J.; Zelitch, S.; Zhao, T.; Zhou, B.; Zhu, J.; Zieliński, M.; Ziemińska, D.; Živković, L.

doi:10.1103/physrevlett.105.251801

Cited by 15 publications

(3 citation statements)

References 27 publications

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“…This analysis extends and supersedes the previous D0 result obtained on 4:2 fb À1 of integrated luminosity [15]. The analysis procedure is briefly described below.…”

Section: Introductionmentioning

confidence: 51%

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Search forZH→ℓ+ℓ−bb¯production in9.7

Abazov¹,

Abbott²,

Acharya³

et al. 2013

Phys. Rev. D

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We present a search for the standard model Higgs boson produced in association with a Z boson in 9:7 fb À1 of p " p collisions collected with the D0 detector at the Fermilab Tevatron Collider at ffiffi ffi s p ¼ 1:96 TeV. Selected events contain one reconstructed Z ! e þ e À or Z ! þ À candidate and at least two jets, including at least one jet likely to contain a b quark. To validate the search procedure, we also measure the cross section for ZZ production and find that it is consistent with the standard model expectation. We set upper limits at the 95% C.L. on the product of the ZH production cross section and branching ratio BðH ! b " bÞ for Higgs boson masses 90 M H 150 GeV. The observed (expected) limit for M H ¼ 125 GeV is a factor of 7.1 (5.1) larger than the standard model prediction.

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“…This analysis extends and supersedes the previous D0 result obtained on 4:2 fb À1 of integrated luminosity [15]. The analysis procedure is briefly described below.…”

Section: Introductionmentioning

confidence: 51%

“…Compared to the result described in Ref. [15], this two-step strategy improves sensitivity to the signal by 5%-10%, depending on M H .…”

Section: Multivariate Analysismentioning

confidence: 92%

Search forZH→ℓ+ℓ−bb¯production in9.7

Abazov¹,

Abbott²,

Acharya³

et al. 2013

Phys. Rev. D

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“…Experiments at the Tevatron have set 95% CL upper limits on the production cross section for a Higgs boson in this low-mass region. These limits range from approximately 4 to 10 times the standard model prediction, depending on the channels studied [16][17][18][19][20][21][22]. The observation of the H → bb decay is of great importance in determining the nature of the Higgs boson.…”

Section: Introductionmentioning

confidence: 99%

Search for the standard model Higgs boson decaying to bottom quarks in pp collisions at s=7 TeV

Chatrchyan¹,

Khachatryan²,

Sirunyan³

et al. 2012

Physics Letters B

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Search for the standard model Higgs boson decaying to bottom quarks in pp collisions at √ s = 7 TeVThe CMS Collaboration * AbstractA search for the standard model Higgs boson (H) decaying to bb when produced in association with weak vector bosons (V) is reported for the following modes: W(µν)H, W(eν)H, Z(µµ)H, Z(ee)H and Z(νν)H. The search is performed in a data sample corresponding to an integrated luminosity of 4.7 fb −1 , recorded by the CMS detector in proton-proton collisions at the LHC with a center-of-mass energy of 7 TeV. No significant excess of events above the expectation from background is observed. Upper limits on the VH production cross section times the H → bb branching ratio, with respect to the expectations for a standard model Higgs boson, are derived for a Higgs boson in the mass range 110-135 GeV. In this range, the observed 95% confidence level upper limits vary from 3.4 to 7.5 times the standard model prediction; the corresponding expected limits vary from 2.7 to 6.7 times the standard model prediction. 3 Triggers and Event Reconstructionpidity is defined as η = − ln(tan(θ/2)), where θ is the polar angle of the trajectory of a particle with respect to the direction of the counterclockwise proton beam. Surrounding the tracker are a crystal electromagnetic calorimeter (ECAL) and a brass-scintillator hadron calorimeter (HCAL), both used to measure particle energy depositions and consisting of a barrel assembly and two endcaps. The ECAL and HCAL extend to a pseudorapidity range of |η| ≤ 3.0. A steel/quartz-fiber Cherenkov forward detector (HF) extends the calorimetric coverage to |η| ≤ 5.0. The outermost component of the CMS detector is the muon system consisting of gas detectors placed in the steel return yoke to measure the momentum of muons traversing the detector. Simulated samples of signal and backgrounds are produced using various event generators, with the CMS detector response modeled with GEANT4 [48]. The Higgs boson signal samples are produced using POWHEG [49] interfaced with the HERWIG [50] event generator. The diboson samples are generated with PYTHIA 6.4 [51]. The MADGRAPH 4.4 [52] generator is used for the W+jets, Z+jets, and tt samples. The single-top samples are produced with POWHEG and the QCD multijet samples with PYTHIA. The default set of parton distribution functions (PDF) used to produce these samples is CTEQ6L1 [53]. The PYTHIA parameters for the underlying event are set to the Z2 tune [54].During the period in which the data for this analysis was recorded, the LHC instantaneous luminosity reached up to 3.5 × 10 33 cm −2 s −1 and the average number of pp interactions per bunch crossing was approximately ten. Additional pp interactions overlapping with the event of interest in the same bunch crossing, denoted as pile-up events (PU), are therefore added in the simulated samples to represent the PU distribution measured in data. Triggers and Event Reconstruction TriggersSeveral triggers are used to collect events consistent with the signal hypothesis in each of the five cha...

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Multivariate discrimination and the Higgs+W/Z search

Gallicchio

Huth

Kagan

et al. 2011

J. High Energ. Phys.

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A systematic method for optimizing multivariate discriminants is developed and applied to the important example of a light Higgs boson search at the Tevatron and the LHC. The Significance Improvement Characteristic (SIC), defined as the signal efficiency of a cut or multivariate discriminant divided by the square root of the background efficiency, is shown to be an extremely powerful visualization tool. SIC curves demonstrate numerical instabilities in the multivariate discriminants, show convergence as the number of variables is increased, and display the sensitivity to the optimal cut values. For our application, we concentrate on Higgs boson production in association with a W or Z boson with H → bb and compare to the irreducible standard model background, Z/W + bb. We explore thousands of experimentally motivated, physically motivated, and unmotivated single variable discriminants. Along with the standard kinematic variables, a number of new ones, such as twist, are described which should have applicability to many processes. We find that some single variables, such as the pull angle, are weak discriminants, but when combined with others they provide important marginal improvement. We also find that multiple Higgs boson-candidate mass measures, such as from mild and aggressively trimmed jets, when combined may provide additional discriminating power. Comparing the significance improvement from our variables to those used in recent CDF and DØ searches, we find that a 10-20% improvement in significance against Z/W + bb is possible. Our analysis also suggests that the H + W/Z channel with H → bb is also viable at the LHC, without requiring a hard cut on the W/Z transverse momentum.

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Search forZH→l+l−bb¯Production in4.2

Cited by 15 publications

References 27 publications

Search forZH→ℓ+ℓ−bb¯production in9.7

Search forZH→ℓ+ℓ−bb¯production in9.7

Search for the standard model Higgs boson decaying to bottom quarks in pp collisions at s=7 TeV

Multivariate discrimination and the Higgs+W/Z search

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