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Search for a light Higgs boson decaying to long-lived weakly interacting particles in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector

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Search for a Light Higgs Boson Decaying to Long-Lived Weakly Interacting Particles in Proton-Proton Collisions at ffiffiffi

p s

¼ 7 TeV with the ATLAS Detector

G. Aad et al.*

(ATLAS Collaboration)

(Received 6 March 2012; published 19 June 2012)

A search for the decay of a light Higgs boson (120–140 GeV) to a pair of weakly interacting, long-lived particles in1:94 fb1of proton-proton collisions atpffiffiffis

¼ 7 TeV recorded in 2011 by the ATLAS detector is presented. The search strategy requires that both long-lived particles decay inside the muon spectrometer. No excess of events is observed above the expected background and limits on the Higgs boson production times branching ratio to weakly interacting, long-lived particles are derived as a function of the particle proper decay length.

DOI:10.1103/PhysRevLett.108.251801 PACS numbers: 14.80.Ec, 12.60.i, 13.85.Rm

A Higgs boson [1–3] below 140 GeV is particularly sensitive to new physics. Many extensions of the standard model (SM) include neutral, weakly coupled particles that can be long lived [4,5] and to which the Higgs boson may decay. These long-lived particles occur in many models, including gauge-mediated extensions of the minimal supersymmetric standard model [6], minimal supersym- metric standard model with R-parity violation [7], inelastic dark matter [8], and the hidden valley (HV) scenario [9].

This Letter presents the first ATLAS search for the Higgs boson decay, h0 ! vv, to two identical neutral particles (v) that have a displaced decay to fermion- antifermion pairs. As a benchmark, we take a HV model [9] in which the SM is weakly coupled, by a heavy com- municator particle, to a hidden sector that includes a pseu- doscalar, the v. Because of the helicity suppression of pseudoscalar decays to low-mass f f pairs, the vdecays predominantly to heavy fermions, b b, cc, and þin the ratio85:5:8%. The weak coupling between the two sectors leads the v to have a long lifetime. Other, non-HV, models with the identical signature, where the v is re- placed with another weakly interacting scalar or pseudo- scalar particle, are discussed in Refs. [4,10]. Both Tevatron experiments, CDF and D0, performed similar searches for displaced decays in their respective tracking volumes, which limited the proper decay length range they could explore to a few hundred millimeters [11,12].

In many of these beyond-the-SM scenarios, the lifetime of the neutral states is not specified and can have a very large range. The current search covers a range of expected proper decay lengths extending to about 20 m by exploiting the size and layout of the ATLAS muon spectrometer.

Consequently the experimental challenge is to develop signature-driven triggers to select displaced decays throughout the ATLAS detector volume [13].

This analysis requires both vdecays to occur near the outer radius of the hadronic calorimeter (r 4 m) or in the muon spectrometer (MS). Such decays give a (; ) clus- ter of charged and neutral hadrons in the MS. Requiring both v’s to have this decay topology improves back- ground rejection. The analysis uses specialized tracking and vertex reconstruction algorithms, described below, to reconstruct vertices in the MS. The analysis strategy takes advantage of the kinematics of the gluon fusion production mechanism and subsequent two-body decay, h0 ! vv, which results in events with back-to-back

ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiv’s, by requiring two well-separated vertices [R  ðÞ2þ ðÞ2

p > 2] [14] in the MS.

The data used in this analysis were collected in the first half of 2011 with the LHC operating at 7 TeV. Applying beam, detector, and data quality requirements resulted in a total integrated luminosity of 1:94 fb1. The integrated luminosity has a relative uncertainty of 3.7% [15,16].

Signal Monte Carlo (MC) samples were generated usingPYTHIA[17,18] to simulate gluon fusion production (gg! h0) and the decay of the Higgs boson (h0 ! vv). Four samples were generated: mh0 ¼ 120 and 140 GeV and for each mh0, two vmasses of 20 and 40 GeV. The predicted Higgs boson production cross sec- tions [19] are ðmh0 ¼ 120 GeVÞ ¼ 16:6þ3:32:5 pb and  (mh0 ¼ 140 GeVÞ ¼ 12:1þ2:31:8 pb, and the branching ratio (BR) for h0! vvis assumed to be 100%. The response of the ATLAS detector was modeled withGEANT4[20,21].

The effect of multiple pp collisions occurring during the same bunch crossing (pileup) was simulated by superim- posing several minimum bias events on the signal event.

The MC events were weighted so that the pileup in the simulation agrees with pileup conditions found in data.

ATLAS is a multipurpose detector [22] consisting of an inner tracking detector (ID) surrounded by a superconducting

*Full author list given at the end of the article.

Published by the American Physical Society under the terms of the Creative Commons Attribution 3.0 License. Further distri- bution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

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solenoid that provides a 2 T field, electromagnetic and had- ronic calorimeters and a MS with a toroidal magnetic field.

The ID, consisting of silicon pixel and strip detectors and a straw tube tracker, provides precision tracking of charged particles for j  j 2:5. The calorimeter system covers j  j 4:9 and has 9.7 interaction lengths at  ¼ 0. The MS consists of a barrel and two forward spectrometers, each with 16  sectors instrumented with detectors for first level triggering and precision tracking detectors for muon momentum measurement. Each spectrometer has three sta- tions along the muon flight path: inner, middle, and outer. In the barrel, the stations are located at radii of4:5, 7, and 10 m, while in the forward MS, they are located atj z j 7:5, 14, and 20 m. This analysis uses muon tracking for j  j 2:4, where each station is instrumented with two multilayers of precision tracking chambers, monitored drift tubes (MDTs). It also utilizes level 1 [23] (L1) muon trigger- ing in the barrel MS (j  j 1). The trigger chambers are located in the middle and outer stations. The L1 muon trigger requires hits in the middle station to create a low pT muon region of interest (RoI) or hits in both the middle and outer stations for a high pT RoI. The muon RoIs have a spacial extent of0:2  0:2 in    and are limited to two RoIs per sector.

A dedicated, signature-driven trigger, the muon RoI cluster trigger [13], was developed to trigger on events with a v decaying in the MS. It selects events with a cluster of three or more muon RoIs in aR ¼ 0:4 cone in the MS barrel trigger chambers. This trigger configuration implies that one vmust decay in the barrel spectrometer, while the second vmay decay either in the barrel or the forward spectrometer. With this trigger, it is possible to trigger on v decays at the outer radius of the hadronic calorimeter and in the MS with high efficiency. The back- grounds of punch-through jets [24] and muon bremsstrah- lung are suppressed by requiring no calorimeter jets with ET  30 GeV in a cone of R ¼ 0:7 and no ID tracks with pT  5 GeV within a region of    ¼ 0:2  0:2 around the RoI cluster center. These isolation criteria result in a negligible loss in the simulated signal while signifi- cantly reducing the backgrounds.

As depicted in Fig.1(a)[25], MC studies show the RoI cluster trigger is30%–50% efficient in the region from 4 to 7 m. The v’s that decay beyond a radius of7 m do not leave hits in the trigger chambers located at 7 m, while the vdecays that occur before r 4 m are located in the calorimeter and do not produce sufficient activity in the MS to pass the muon RoI cluster trigger. The mh0 ¼ 120 GeV and mv¼ 40 GeV sample has a relatively lower efficiency because the v’s have a lower boost and arrive later at the MS. As a result, the trigger signal may be associated with the incorrect bunch crossing, in which case the event is lost.

The systematic uncertainty of the muon RoI cluster trigger efficiency is evaluated on data using a sample of

events containing a punch-through jet. This sample of events is similar to signal events as it contains both low energy photons and charged hadrons in a localized region of the MS. These punch-through jets are selected to be in the barrel calorimeter (jj 1:4), have ET  20 GeV, have at least four tracks in the ID, each with pT  1 GeV, and have at least 20 GeV of missing transverse momentum aligned with the jet. To ensure significant activity in the MS, the jet is required to contain at least 300 MDT hits in a cone ofR ¼ 0:6, centered around the jet axis [26]. The muon RoI cluster trigger algorithm was run in the vicinity of the punch-through jet for both data and MC events. The distribution of RoIs contained in the cluster for data and MC events, normalized to the number of data events, is shown in Fig. 2. The shapes of the distribution match well between data and MC events. A horizontal line fit to the ratio, as a function of NRoI  1, yields 1:14  0:09, and 14% is taken as the systematic uncertainty. The effects of uncertainties in the jet energy scale (JES) [27], in the initial state radiation (ISR) spec- trum [28], and in the amount of pileup were found to be

r [m]

0 1 2 3 4 5 6 7 8 9 10

Trigger Efficiency

0 0.1 0.2 0.3 0.4 0.5 0.6

=20 GeV πv

=120 GeV, m mh

=40 GeV πv

=120 GeV, m mh

=20 GeV πv

=140 GeV, m mh

=40 GeV πv

=140 GeV, m mh

ATLAS Simulation

(a)

r [m]

0 1 2 3 4 5 6 7 8 9 10

Vertex Reconstruction Efficiency

0 0.1 0.2 0.3 0.4 0.5 0.6

=20 GeV

πv

=120 GeV, m mh

=40 GeV

πv

=120 GeV, m mh

=20 GeV

πv

=140 GeV, m mh

=40 GeV

πv

=140 GeV, m mh

ATLAS Simulation

(b)

FIG. 1 (color online). (a) Efficiency of the trigger, as a func- tion of the radial decay position (r) of the v. (b) The vertex reconstruction efficiency for v decays in the barrel for events that pass the muon RoI cluster trigger as a function of the radial decay distance. The error bars represent the statistical uncer- tainty on the efficiencies.

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negligible when varying these quantities by their uncertainties.

A specialized tracking and vertex reconstruction algo- rithm was developed to identify v’s that decay inside the MS. The decay of a vresults in a high multiplicity of low pT particles (1  pT  5 GeV) containing 10 charged particles and5 0’s clustered in a smallR region of the spectrometer. The v’s that decay before the last sampling layer of the hadronic calorimeter do not produce a signifi- cant number of tracks in the MS. Thus, detectable decay vertices must be located in the region between the outer radius of the hadronic calorimeter and the middle station of the MS. Over a wide range of acceptance in the barrel MS, the total amount of material traversed is roughly 1.3 radia- tion lengths [22]; therefore, as a consequence of the

5 0’s produced in signal events, large electromagnetic showers accompany the 10 charged particles from v

decays. The resulting MS environment contains, on aver- age, approximately 800 MDT hits, of which 75% are from the electromagnetic showers.

The design of the muon chambers [22] is exploited in order to reconstruct tracks in this busy environment. The separation of the two multilayers inside a single muon chamber provides a powerful tool for track pattern recog- nition. This separation provides enough of a lever arm to allow, in the barrel, a momentum measurement with accept- able resolution for tracks up to approximately 10 GeV [29].

In the forward spectrometers, the muon chambers are out- side the magnetic field region; therefore, it is not possible to measure the track momentum inside of a single chamber. In both cases, the tracklets used in the vertex reconstruction are formed using hits in single muon chambers.

The MS vertex algorithm begins by grouping the track- lets using a simple cone algorithm withR ¼ 0:6. In the barrel, the tracklets are extrapolated through the magnetic field, and the vertex position is reconstructed as the point in

(r; z) that uses the largest number of tracklets to reconstruct a vertex with a 2 probability greater than 5%. In the forward spectrometer, the reconstructed tracklets do not have a measurement of the momentum; therefore, the vertex is found using a least squares regression that as- sumes the tracklets are straight lines. Vertices are required to be reconstructed using at least three tracklets, point back to the interaction point (IP) [30] and havej  j 2:2. After requiring the MS vertex to be separated from ID tracks with pT  5 GeV and jets with ET  15 GeV by R ¼ 0:4 and R ¼ 0:7, respectively, the algorithm has an effi- ciency of40% in signal MC events throughout the barrel region (4  r  7:5 m) and a resolution of 20 cm in z, 32 cm in r, and 50 mrad in . In the forward spectrometer, the algorithm is 40% efficient in the region 8 j z j

14 m. Figure 1(b) [25] shows the vertex reconstruction efficiency for the barrel reconstruction algorithm in MC signal events that passed the muon RoI cluster trigger.

The MC description of hadrons and photons in the MS was validated on the same sample of events containing a punch-through jet used to evaluate the trigger performance.

The fraction of these jets that produce a MS vertex was compared in data and QCD dijet MC events. TableIshows the fraction of punch-through jets that produce a vertex in data and MC events as a function of the number of MDT hits in a cone ofR ¼ 0:6 around the jet axis. The data-to- MC ratio is fit to a flat distribution that yields a ratio consistent with unity with a 15% statistical uncertainty, which is taken to be the systematic uncertainty in the vertex reconstruction efficiency. The systematic uncertainties arising from the JES, ISR spectrum, and the amount of pileup were estimated by varying these quantities by their uncertainties and calculating the change in the vertex reconstruction efficiency. The total systematic uncertainty of 16% for the efficiency of reconstructing a vertex is the sum in quadrature of the uncertainties in the efficiency of the isolation criteria due to varying the JES, ISR, and pileup (3%, 3%, and 2%, respectively) and the uncertainty in the comparison of data and MC events (15%).

The final event selection requires two good MS vertices separated byR > 2. The background due to events with two jets, both of which punch through the calorimeter, is a negligible contribution to the total background due to the tight isolation criteria applied to each vertex. The back- ground is calculated using a fully data-driven method by

Number of RoI’s

0 1 2 3 4 5 6 7

Number of events

1 10 102

103

QCD dijet MC

=7 TeV) s Data ( ATLAS

NRoI

0 1 2 3 4 5 6 7

Data/MC

0 0.5 1 1.5

FIG. 2 (color online). Distribution of number of events vs number of muon RoIs from punch-through jets contained in the muon RoI cluster for both data and MC events. The error bands on the QCD dijet MC histogram represent the1 statis- tical uncertainty.

TABLE I. Fraction of punch-through jets that have a recon- structed vertex in the muon spectrometer for varying numbers of MDT hits for data and QCD Monte Carlo events.

Number of MDT hits QCD dijet Monte Carlo Data 300  NMDT< 400 10:1  2:2% 9:1  0:5%

400  NMDT< 500 9:2  2:8% 10:5  0:7%

500  NMDT< 600 13:1  5:4% 13:0  0:9%

NMDT 600 16:5  4:5% 16:7  0:7%

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measuring the probability for a random event to contain an MS vertex (Pvertex) and the probability of reconstructing a vertex given that the event passed the RoI cluster trigger (Preco). Because Pvertex and Preco are measured in data, they incorporate backgrounds from cosmic showers, beam halo, and detector noise. The background is calcu- lated as

Nfakeð2 MS vertexÞ ¼ NðMS vertex; 1 trigÞPvertex þ NðMS vertex; 2 trigÞPreco: N(MS vertex, 1 trig) is the number of events with a single muon RoI cluster trigger object and an isolated MS vertex. N(MS vertex, 2 trig) is the number of events with an isolated vertex and a second RoI cluster trigger object. The first term in the equation is the expected number of background events with one vertex that ran- domly contain a second vertex. Preco is the probability to reconstruct a vertex given there was an RoI cluster trig- ger; thus, the second term in the equation is the expected number of events with two RoI clusters that have two vertices in the MS. Pvertex was measured using zero bias data [31] to be ð9:7  6:9Þ  107, and Preco was mea- sured using the events that pass the muon RoI cluster trigger to be ð1:11  0:01Þ  102. The expected signal would cause, at most, a relative change in Preco of1%.

Preco was also measured using a sample of events re- corded when there were no collisions. In this sample of noncollision background events, Precowas measured to be ð7:0  0:6Þ  103. For calculating the background, the larger value of Preco(1:11  102) is taken since it gives a conservative estimate of the background. N(MS vertex, 1 trig) and N(MS vertex, 2 trig) are 15 543 and 1, respec- tively. Therefore, the background is calculated to be 0:03  0:02 events.

No events in the data sample pass the selection requiring two isolated, back-to-back vertices in the muon spectrome-

ter. Since no significant excess over the background predic- tion is found, exclusion limits for h0BRðh0! vvÞ are set by rejecting the signal hypothesis at the 95% confidence level (CL) using the CLs procedure [32]. Figure3shows the 95% CL upper limit on h0 BRðh0! vvÞ=SMas a function of the vproper decay length (c) in multiples of the SM Higgs boson cross section, SM. As expected, the Higgs boson and v mass combinations with the largest boosts leading to larger c have the smallest exclusion limits.

In 1:94 fb1 of pp collision data at a center-of-mass energy of 7 TeV, there is no evidence of an excess of events containing two isolated, back-to-back vertices in the ATLAS muon spectrometer. Using the model of a light Higgs boson decaying to weakly interacting, long-lived pseudoscalars, limits have been placed on the pseudoscalar proper decay length. TableIIshows the broad range of v proper decay lengths that have been excluded at the 95% CL, assuming 100% branching ratio for h0!

vv. These limits also apply to models in which the Higgs boson decays to a pair of weakly interacting scalars that, in turn, decay to heavy quark pairs.

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil;

NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC, and Lundbeck Foundation, Denmark; ARTEMIS, European Union; IN2P3-CNRS, CEA-DSM/IRFU, France; GNAS, Georgia; BMBF, DFG, HGF, MPG, and AvH Foundation, Germany; GSRT, Greece;

ISF, MINERVA, GIF, DIP, and Benoziyo Center, Israel;

INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco;

FOM and NWO, Netherlands; RCN, Norway; MNiSW, Poland; GRICES and FCT, Portugal; MERYS (MECTS), Romania; MES of Russia and ROSATOM, Russian Federation; JINR; MSTD, Serbia; MSSR, Slovakia; ARRS and MVZT, Slovenia; DST/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SER, SNSF, and Cantons of Bern and Geneva, Switzerland;

NSC, Taiwan; TAEK, Turkey; STFC, the Royal Society

proper decay length [m]

πv

0 5 10 15 20 25 30 35

SMσ/σ95% CL Limit on

0 0.5 1 1.5 2 2.5 3

=20 GeV πv

=120 GeV, m 95% CL Limit: mh

=40 GeV πv

=120 GeV, m 95% CL Limit: mh

=20 GeV πv

=140 GeV, m 95% CL Limit: mh

=40 GeV πv

=140 GeV, m 95% CL Limit: mh

Ldt = 1.94 fb-1

s= 7 TeV

ATLAS

FIG. 3 (color online). Observed 95% upper limits on the process h0! vv, vs the v proper decay length, expressed as a multiple of the SM cross section for Higgs boson produc- tion. Exclusion limits assume 100% branching ratio for the Higgs boson decaying to v’s.

TABLE II. The excluded proper decay lengths (c) of the v, at 95% CL, for each of the signal samples, assuming 100%

branching ratio for the channel h0! vv.

mh0ðGeVÞ mvðGeVÞ Excluded region

120 20 0:50 < c < 20:65 m

120 40 1:60 < c < 24:65 m

140 20 0:45 < c < 15:8 m

140 40 1:10 < c < 26:75 m

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and Leverhulme Trust, United Kingdom; DOE and NSF, U. S. The crucial computing support from all WLCG part- ners is acknowledged gratefully, in particular, from CERN and the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA) and in the Tier-2 facilities worldwide.

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A. J. Barr,117F. Barreiro,79J. Barreiro Guimara˜es da Costa,56P. Barrillon,114R. Bartoldus,142A. E. Barton,70 V. Bartsch,148R. L. Bates,52L. Batkova,143aJ. R. Batley,27A. Battaglia,16M. Battistin,29F. Bauer,135H. S. Bawa,142,f

S. Beale,97B. Beare,157T. Beau,77P. H. Beauchemin,160R. Beccherle,49aP. Bechtle,20H. P. Beck,16S. Becker,97 M. Beckingham,137K. H. Becks,173A. J. Beddall,18cA. Beddall,18cS. Bedikian,174V. A. Bednyakov,64C. P. Bee,82

M. Begel,24S. Behar Harpaz,151P. K. Behera,62M. Beimforde,98C. Belanger-Champagne,84P. J. Bell,48 W. H. Bell,48G. Bella,152L. Bellagamba,19aF. Bellina,29M. Bellomo,29A. Belloni,56O. Beloborodova,106,g K. Belotskiy,95O. Beltramello,29S. Ben Ami,151O. Benary,152D. Benchekroun,134aC. Benchouk,82M. Bendel,80 N. Benekos,164Y. Benhammou,152E. Benhar Noccioli,48J. A. Benitez Garcia,158bD. P. Benjamin,44M. Benoit,114

J. R. Bensinger,22K. Benslama,129S. Bentvelsen,104D. Berge,29E. Bergeaas Kuutmann,41N. Berger,4 F. Berghaus,168E. Berglund,104J. Beringer,14P. Bernat,76R. Bernhard,47C. Bernius,24T. Berry,75C. Bertella,82 A. Bertin,19a,19bF. Bertinelli,29F. Bertolucci,121a,121bM. I. Besana,88a,88bN. Besson,135S. Bethke,98W. Bhimji,45

R. M. Bianchi,29M. Bianco,71a,71bO. Biebel,97S. P. Bieniek,76K. Bierwagen,53J. Biesiada,14M. Biglietti,133a H. Bilokon,46M. Bindi,19a,19bS. Binet,114A. Bingul,18cC. Bini,131a,131bC. Biscarat,176U. Bitenc,47K. M. Black,21

R. E. Blair,5J.-B. Blanchard,135G. Blanchot,29T. Blazek,143aC. Blocker,22J. Blocki,38A. Blondel,48W. Blum,80 U. Blumenschein,53G. J. Bobbink,104V. B. Bobrovnikov,106S. S. Bocchetta,78A. Bocci,44C. R. Boddy,117 M. Boehler,41J. Boek,173N. Boelaert,35S. Bo¨ser,76J. A. Bogaerts,29A. Bogdanchikov,106A. Bogouch,89,a

C. Bohm,145aV. Boisvert,75T. Bold,37V. Boldea,25aN. M. Bolnet,135M. Bona,74V. G. Bondarenko,95 M. Bondioli,162M. Boonekamp,135G. Boorman,75C. N. Booth,138S. Bordoni,77C. Borer,16A. Borisov,127 G. Borissov,70I. Borjanovic,12aS. Borroni,86K. Bos,104D. Boscherini,19aM. Bosman,11H. Boterenbrood,104 D. Botterill,128J. Bouchami,92J. Boudreau,122E. V. Bouhova-Thacker,70D. Boumediene,33C. Bourdarios,114 N. Bousson,82A. Boveia,30J. Boyd,29I. R. Boyko,64N. I. Bozhko,127I. Bozovic-Jelisavcic,12bJ. Bracinik,17 A. Braem,29P. Branchini,133aG. W. Brandenburg,56A. Brandt,7G. Brandt,117O. Brandt,53U. Bratzler,155B. Brau,83

J. E. Brau,113H. M. Braun,173B. Brelier,157J. Bremer,29R. Brenner,165S. Bressler,170D. Breton,114D. Britton,52 F. M. Brochu,27I. Brock,20R. Brock,87T. J. Brodbeck,70E. Brodet,152F. Broggi,88aC. Bromberg,87J. Bronner,98

G. Brooijmans,34W. K. Brooks,31bG. Brown,81H. Brown,7P. A. Bruckman de Renstrom,38D. Bruncko,143b R. Bruneliere,47S. Brunet,60A. Bruni,19aG. Bruni,19aM. Bruschi,19aT. Buanes,13Q. Buat,54F. Bucci,48

J. Buchanan,117N. J. Buchanan,2P. Buchholz,140R. M. Buckingham,117A. G. Buckley,45S. I. Buda,25a I. A. Budagov,64B. Budick,107V. Bu¨scher,80L. Bugge,116O. Bulekov,95M. Bunse,42T. Buran,116H. Burckhart,29

S. Burdin,72T. Burgess,13S. Burke,128E. Busato,33P. Bussey,52C. P. Buszello,165F. Butin,29B. Butler,142 J. M. Butler,21C. M. Buttar,52J. M. Butterworth,76W. Buttinger,27S. Cabrera Urba´n,166D. Caforio,19a,19bO. Cakir,3a P. Calafiura,14G. Calderini,77P. Calfayan,97R. Calkins,105L. P. Caloba,23aR. Caloi,131a,131bD. Calvet,33S. Calvet,33 R. Camacho Toro,33P. Camarri,132a,132bM. Cambiaghi,118a,118bD. Cameron,116L. M. Caminada,14S. Campana,29

M. Campanelli,76V. Canale,101a,101bF. Canelli,30,hA. Canepa,158aJ. Cantero,79L. Capasso,101a,101b M. D. M. Capeans Garrido,29I. Caprini,25aM. Caprini,25aD. Capriotti,98M. Capua,36a,36bR. Caputo,80 C. Caramarcu,24R. Cardarelli,132aT. Carli,29G. Carlino,101aL. Carminati,88a,88bB. Caron,84S. Caron,103

G. D. Carrillo Montoya,171A. A. Carter,74J. R. Carter,27J. Carvalho,123a,iD. Casadei,107M. P. Casado,11 M. Cascella,121a,121bC. Caso,49a,49b,aA. M. Castaneda Hernandez,171E. Castaneda-Miranda,171

V. Castillo Gimenez,166N. F. Castro,123aG. Cataldi,71aF. Cataneo,29A. Catinaccio,29J. R. Catmore,29A. Cattai,29 G. Cattani,132a,132bS. Caughron,87D. Cauz,163a,163cP. Cavalleri,77D. Cavalli,88aM. Cavalli-Sforza,11 V. Cavasinni,121a,121bF. Ceradini,133a,133bA. S. Cerqueira,23bA. Cerri,29L. Cerrito,74F. Cerutti,46S. A. Cetin,18b

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F. Cevenini,101a,101bA. Chafaq,134aD. Chakraborty,105K. Chan,2B. Chapleau,84J. D. Chapman,27J. W. Chapman,86 E. Chareyre,77D. G. Charlton,17V. Chavda,81C. A. Chavez Barajas,29S. Cheatham,84S. Chekanov,5 S. V. Chekulaev,158aG. A. Chelkov,64M. A. Chelstowska,103C. Chen,63H. Chen,24S. Chen,32cT. Chen,32c X. Chen,171S. Cheng,32aA. Cheplakov,64V. F. Chepurnov,64R. Cherkaoui El Moursli,134eV. Chernyatin,24E. Cheu,6

S. L. Cheung,157L. Chevalier,135G. Chiefari,101a,101bL. Chikovani,50aJ. T. Childers,29A. Chilingarov,70 G. Chiodini,71aM. V. Chizhov,64G. Choudalakis,30S. Chouridou,136I. A. Christidi,76A. Christov,47 D. Chromek-Burckhart,29M. L. Chu,150J. Chudoba,124G. Ciapetti,131a,131bK. Ciba,37A. K. Ciftci,3aR. Ciftci,3a D. Cinca,33V. Cindro,73M. D. Ciobotaru,162C. Ciocca,19aA. Ciocio,14M. Cirilli,86M. Citterio,88aM. Ciubancan,25a

A. Clark,48P. J. Clark,45W. Cleland,122J. C. Clemens,82B. Clement,54C. Clement,145a,145bR. W. Clifft,128 Y. Coadou,82M. Cobal,163a,163cA. Coccaro,171J. Cochran,63P. Coe,117J. G. Cogan,142J. Coggeshall,164

E. Cogneras,176J. Colas,4A. P. Colijn,104N. J. Collins,17C. Collins-Tooth,52J. Collot,54G. Colon,83 P. Conde Muin˜o,123aE. Coniavitis,117M. C. Conidi,11M. Consonni,103V. Consorti,47S. Constantinescu,25a C. Conta,118a,118bF. Conventi,101a,jJ. Cook,29M. Cooke,14B. D. Cooper,76A. M. Cooper-Sarkar,117K. Copic,14 T. Cornelissen,173M. Corradi,19aF. Corriveau,84,kA. Cortes-Gonzalez,164G. Cortiana,98G. Costa,88aM. J. Costa,166 D. Costanzo,138T. Costin,30D. Coˆte´,29R. Coura Torres,23aL. Courneyea,168G. Cowan,75C. Cowden,27B. E. Cox,81

K. Cranmer,107F. Crescioli,121a,121bM. Cristinziani,20G. Crosetti,36a,36bR. Crupi,71a,71bS. Cre´pe´-Renaudin,54 C.-M. Cuciuc,25aC. Cuenca Almenar,174T. Cuhadar Donszelmann,138M. Curatolo,46C. J. Curtis,17C. Cuthbert,149 P. Cwetanski,60H. Czirr,140P. Czodrowski,43Z. Czyczula,174S. D’Auria,52M. D’Onofrio,72A. D’Orazio,131a,131b

P. V. M. Da Silva,23aC. Da Via,81W. Dabrowski,37T. Dai,86C. Dallapiccola,83M. Dam,35M. Dameri,49a,49b D. S. Damiani,136H. O. Danielsson,29D. Dannheim,98V. Dao,48G. Darbo,49aG. L. Darlea,25bC. Daum,104

W. Davey,20T. Davidek,125N. Davidson,85R. Davidson,70E. Davies,117,dM. Davies,92A. R. Davison,76 Y. Davygora,57aE. Dawe,141I. Dawson,138,aJ. W. Dawson,5,aR. K. Daya-Ishmukhametova,22K. De,7 R. de Asmundis,101aS. De Castro,19a,19bP. E. De Castro Faria Salgado,24S. De Cecco,77J. de Graat,97 N. De Groot,103P. de Jong,104C. De La Taille,114H. De la Torre,79B. De Lotto,163a,163cL. de Mora,70L. De Nooij,104

D. De Pedis,131aA. De Salvo,131aU. De Sanctis,163a,163cA. De Santo,148J. B. De Vivie De Regie,114S. Dean,76 W. J. Dearnaley,70R. Debbe,24C. Debenedetti,45D. V. Dedovich,64J. Degenhardt,119M. Dehchar,117 C. Del Papa,163a,163cJ. Del Peso,79T. Del Prete,121a,121bT. Delemontex,54M. Deliyergiyev,73A. Dell’Acqua,29

L. Dell’Asta,21M. Della Pietra,101a,jD. della Volpe,101a,101bM. Delmastro,4N. Delruelle,29P. A. Delsart,54 C. Deluca,147S. Demers,174M. Demichev,64B. Demirkoz,11,lJ. Deng,162S. P. Denisov,127D. Derendarz,38 J. E. Derkaoui,134dF. Derue,77P. Dervan,72K. Desch,20E. Devetak,147P. O. Deviveiros,104A. Dewhurst,128 B. DeWilde,147S. Dhaliwal,157R. Dhullipudi,24,mA. Di Ciaccio,132a,132bL. Di Ciaccio,4A. Di Girolamo,29 B. Di Girolamo,29S. Di Luise,133a,133bA. Di Mattia,171B. Di Micco,29R. Di Nardo,46A. Di Simone,132a,132b

R. Di Sipio,19a,19bM. A. Diaz,31aF. Diblen,18cE. B. Diehl,86J. Dietrich,41T. A. Dietzsch,57aS. Diglio,85 K. Dindar Yagci,39J. Dingfelder,20C. Dionisi,131a,131bP. Dita,25aS. Dita,25aF. Dittus,29F. Djama,82T. Djobava,50b

M. A. B. do Vale,23cA. Do Valle Wemans,123aT. K. O. Doan,4M. Dobbs,84R. Dobinson,29,aD. Dobos,29 E. Dobson,29,nJ. Dodd,34C. Doglioni,48T. Doherty,52Y. Doi,65,aJ. Dolejsi,125I. Dolenc,73Z. Dolezal,125 B. A. Dolgoshein,95,aT. Dohmae,154M. Donadelli,23dM. Donega,119J. Donini,33J. Dopke,29A. Doria,101a A. Dos Anjos,171M. Dosil,11A. Dotti,121a,121bM. T. Dova,69J. D. Dowell,17A. D. Doxiadis,104A. T. Doyle,52 Z. Drasal,125J. Drees,173N. Dressnandt,119H. Drevermann,29C. Driouichi,35M. Dris,9J. Dubbert,98S. Dube,14

E. Duchovni,170G. Duckeck,97A. Dudarev,29F. Dudziak,63M. Du¨hrssen,29I. P. Duerdoth,81L. Duflot,114 M-A. Dufour,84M. Dunford,29H. Duran Yildiz,3aR. Duxfield,138M. Dwuznik,37F. Dydak,29M. Du¨ren,51 W. L. Ebenstein,44J. Ebke,97S. Eckweiler,80K. Edmonds,80C. A. Edwards,75N. C. Edwards,52W. Ehrenfeld,41 T. Ehrich,98T. Eifert,142G. Eigen,13K. Einsweiler,14E. Eisenhandler,74T. Ekelof,165M. El Kacimi,134cM. Ellert,165 S. Elles,4F. Ellinghaus,80K. Ellis,74N. Ellis,29J. Elmsheuser,97M. Elsing,29D. Emeliyanov,128R. Engelmann,147 A. Engl,97B. Epp,61A. Eppig,86J. Erdmann,53A. Ereditato,16D. Eriksson,145aJ. Ernst,1M. Ernst,24J. Ernwein,135 D. Errede,164S. Errede,164E. Ertel,80M. Escalier,114C. Escobar,122X. Espinal Curull,11B. Esposito,46F. Etienne,82 A. I. Etienvre,135E. Etzion,152D. Evangelakou,53H. Evans,60L. Fabbri,19a,19bC. Fabre,29R. M. Fakhrutdinov,127

S. Falciano,131aY. Fang,171M. Fanti,88a,88bA. Farbin,7A. Farilla,133aJ. Farley,147T. Farooque,157 S. M. Farrington,117P. Farthouat,29P. Fassnacht,29D. Fassouliotis,8B. Fatholahzadeh,157A. Favareto,88a,88b L. Fayard,114S. Fazio,36a,36bR. Febbraro,33P. Federic,143aO. L. Fedin,120W. Fedorko,87M. Fehling-Kaschek,47 L. Feligioni,82D. Fellmann,5C. Feng,32dE. J. Feng,30A. B. Fenyuk,127J. Ferencei,143bJ. Ferland,92W. Fernando,108

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