Literature DB >> 34720719

t t ¯ H production at NNLO: the flavour off-diagonal channels.

Stefano Catani1,2, Ignacio Fabre3,4, Massimiliano Grazzini3, Stefan Kallweit5,6.   

Abstract

We consider QCD radiative corrections to the associated production of a heavy-quark pair ( Q Q ¯ ) with a generic colourless system F at hadron colliders. We discuss the resummation formalism for the production of the Q Q ¯ F system at small values of its total transverse momentum q T . We present the results of the corresponding resummation coefficients at next-to-leading and, partly, next-to-next-to-leading order. The perturbative expansion of the resummation formula leads to the explicit ingredients that can be used to apply the q T subtraction formalism to fixed-order calculations for this class of processes. We use the q T subtraction formalism to perform a fully differential perturbative computation for the production of a top-antitop quark pair and a Higgs boson. At next-to-leading order we compare our results with those obtained with established subtraction methods and we find complete agreement. We present, for the first time, the results for the flavour off-diagonal partonic channels at the next-to-next-to-leading order.
© The Author(s) 2021.

Entities:  

Year:  2021        PMID: 34720719      PMCID: PMC8550723          DOI: 10.1140/epjc/s10052-021-09247-w

Source DB:  PubMed          Journal:  Eur Phys J C Part Fields        ISSN: 1434-6044            Impact factor:   4.590


Introduction

The observation of Higgs boson production in association with a top quark–antiquark () pair was reported by the ATLAS and CMS collaborations in 2018 [1, 2]. This production mode allows for a direct measurement of the top-quark Yukawa coupling. The first theoretical studies of the production of a top–antitop quark pair and a Higgs boson () were carried out in Refs. [3, 4] at leading order (LO) in QCD perturbation theory, and in Refs. [5-10] at next-to-leading order (NLO). NLO EW corrections were reported in Refs. [11-13]. The resummation of soft-gluon contributions close to the partonic kinematical threshold was considered in Refs. [14-19]. Full off-shell calculations with decaying top quarks were presented at NLO QCD [20] and NLO QCD+EW [21]. The uncertainty of current theoretical predictions for cross sections is at the level [22]. To match the experimental precision expected at the end of the high-luminosity phase of the LHC, next-to-next-to-leading order (NNLO) predictions in QCD perturbation theory are required. This paper is devoted to the NNLO (and NLO) QCD calculation of production. At the partonic level, the NNLO calculation of production requires the evaluation of tree-level contributions with two additional unresolved partons in the final state, of one-loop contributions with one unresolved parton and of purely virtual contributions. The required tree-level and one-loop scattering amplitudes can nowadays be evaluated with automated tools. The two-loop amplitude for production is not known. Being a five-leg amplitude involving particles with different masses, its computation is at the frontier of current possibilities [23]. Even having all the required amplitudes, their implementation in a complete NNLO calculation at the fully differential (exclusive) level is a highly non-trivial task because of the presence of infrared (IR) divergences at intermediate stages of the calculation. In particular, these divergences do not permit a straightforward implementation of numerical techniques. Various methods have been proposed and used to overcome these difficulties at the NNLO level (see Refs. [23-26] and references therein). In this work we will use the transverse-momentum () subtraction method [27]. The subtraction formalism is a method to handle and cancel the IR divergences in QCD computations at NLO, NNLO and beyond. The method uses IR subtraction counterterms that are constructed by considering and explicitly computing the distribution of the produced final-state system in the limit . If the produced final-state system is composed of non-QCD (colourless) partons (such as vector bosons, Higgs bosons, and so forth), the behaviour of the distribution in the limit has a universal (process-independent) structure that is explicitly known up to the NNLO level through the formalism of transverse-momentum resummation [28]. These results on transverse-momentum resummation are sufficient to fully specify the subtraction formalism up to NNLO for this entire class of processes.1 The resummation formalism can, however, be extended to the production of final states containing a heavy-quark pair [36-38]. Exploiting such extension, the NNLO computations of top-quark and bottom-quark production were recently completed [39-42]. In this paper we consider the associated production of a top-quark pair with a Higgs boson. Since the Higgs boson is colourless, the structure of transverse-momentum resummation for this process is closely analogous to that for heavy-quark production. The only important difference is that the emission of a Higgs boson off the top-quark pair changes the kinematics, and the top and antitop quarks are not back-to-back anymore at Born level. We show that this feature can be controlled through the knowledge of appropriate resummation coefficients. We present the explicit results of the resummation coefficients at NLO and, partly, NNLO for the process of associated production of an arbitrary number of heavy quark-antiquark pairs and a generic colourless system F [43]. This allows us to obtain first results on the application of the subtraction method to the NLO and NNLO computations of production in hadron collisions. We exploit the formulation of transverse-momentum resummation in Ref. [38] that includes the complete dependence on the kinematics of the heavy-quark pair. This dependence and, in particular, the complete control on the heavy-quark azimuthal correlations are essential (see Sect. 2) to extract all the NNLO counterterms of the subtraction method. Although the structure of transverse-momentum resummation for production is fully worked out up to NNLO, the explicit NNLO results for the hard-virtual factors [38] in the flavour diagonal partonic channels and (X denotes the unobserved inclusive final state) are not yet known. Their evaluation requires the two-loop amplitudes for the partonic processes and , as well as related soft contributions whose computation is available only for heavy-quark pair production. Therefore, in the NNLO calculation of this paper we present numerical results for all the flavour off-diagonal channels , with (q and denote quarks with different flavours). The paper is organised as follows. In Sect. 2 we recall the transverse-momentum resummation formalism for the production of a high-mass system containing a heavy-quark pair and discuss the perturbative ingredients needed for the NNLO calculation. In Sect. 3 we present our numerical results for ttH production at NLO and NNLO. In Sect. 4 we summarise our findings. In the Appendix we report the explicit expressions of the resummation coefficients required for the calculation and highlight ensuing dynamical features related to azimuthal correlations and asymmetries.

Transverse-momentum resummation and subtraction formalism for production

We consider the associated production of a heavy-quark pair () and an arbitrary colourless system F in hadron collisions. The system F consists of one or more colourless particles, such as vector bosons, Higgs bosons, and so forth. We denote by M and the invariant mass and transverse momentum of the system, respectively. At small values of (i.e., ) the perturbative QCD computation for this class of production processes is affected by large logarithmic terms of the type . These terms can formally be resummed to all perturbative orders. In the case of production (i.e., no accompanying system F) the transverse-momentum resummation formalism was developed in Ref. [38] at arbitrary logarithmic accuracy, and by including the azimuthal-correlation contributions (see also Refs. [36, 37] for the azimuthally averaged case up to next-to-leading logarithmic accuracy). The resummation formalism of Ref. [38] can be extended to associated production since the system F is formed by colourless particles. The extension is straightforward at the formal level and, at the practical level, it requires the explicit computation of process-dependent resummation factors at the necessary perturbative order. In the following we briefly summarize the key steps and the ingredients that are involved in this extension. Transverse-momentum resummation is performed through Fourier transformation from impact parameter space, where the impact parameter vector is the Fourier conjugated variable to the transverse-momentum vector . The general resummation formula for both and production is given in Eq. (5) of Ref. [38]. The process-dependent contributions to this resummation formula are the LO partonic cross section () and the resummation factor , while all the other contributions are process independent. These process-independent contributions and the corresponding resummation coefficients are the same terms that control the production of a colourless high-mass system [28] (see below). The factor has an all-order process-independent structure (see Eqs. (10)–(16) and (26) in Ref. [38]) that is controlled by resummation coefficients that can be explicitly computed at the required perturbative order. These resummation coefficients are (i) the soft anomalous dimension matrix , (ii) the radiative factor and (iii) the subtraction operator . The general transverse-momentum resummation formula for production involves a sole additional ingredient that is process dependent, namely the scattering amplitude of the partonic production process . The resummation factor (see Eqs. (15)–(18) in Ref. [38]) depends on the soft anomalous dimension matrix , whose perturbative expansion in the QCD coupling reads The term also depends on the radiative factor , which embodies azimuthal correlations of soft origin and, therefore, it depends on the direction of the impact parameter vector . Its perturbative expansion reads with the constraint where denotes the azimuthal average over (i.e., the average over the azimuthal angle of the transverse vector . The subtraction operator has the following perturbative expansion, where is the renormalisation scale of the QCD coupling . Here generically denotes the observed final-state system (i.e., for heavy-quark pair production, or for the associated production process) with total invariant mass M. The operator embodies IR-divergent contributions that are regularized by the customary procedure of analytic continuation in space-time dimensions. This subtraction operator contributes to the resummation factor (see Eqs. (12) and (13) in Ref. [38], and Eqs. (8) and (13) in the following) through the definition of the (IR-finite) hard-virtual amplitude (see Eq. (26) in Ref. [38] and Eq. (15) in the following) of the partonic production process . The resummation quantities , and have a ‘minimal’ process dependence, which has a soft origin: they depend on the momenta and colour charges of the colour-charged partons of the process (namely, the colliding partons c and and the produced heavy quarks and antiquarks). Such dependence is simply denoted by the argument in Eqs. (1), (2) and (4). We also recall that , and are actually colour-space operators that act on the colour indices of the corresponding partons. The explicit expressions of the perturbative terms , , and for production were presented in Ref. [38], and we report the corresponding expressions for production in the Appendix of this paper. According to the subtraction method [27], the formulation of transverse-momentum resummation for production allows us to write the (N)NLO partonic cross section aswhere is the +jet cross section at (N)LO accuracy. To apply Eq. (5) at NLO, the LO cross section can be directly obtained by integrating the corresponding tree-level scattering amplitudes. To apply Eq. (5) at NNLO, can be evaluated by using any available NLO method to handle and cancel the corresponding IR divergences, if the relevant tree-level and one-loop QCD amplitudes are available. Therefore, is IR finite, provided . The square bracket term of Eq. (5) is IR finite in the limit , but its individual contributions, and , are separately divergent. The IR-subtraction counterterm is obtained from the (N)NLO perturbative expansion (see, e.g., Ref. [44]) of the resummation formula of the logarithmically enhanced contributions to the corresponding distribution [36-38]. The explicit form of can be completely worked out up to NNLO accuracy. It depends on the resummation coefficients that control transverse-momentum resummation for the production of a colourless final-state system and, additionally, on the first two coefficients and of the soft anomalous dimension matrix in Eq. (1). The explicit expression of the coefficient for production is given in the Appendix. The expression of can be determined (see the Appendix) by exploiting the relation [38] between and the IR singularities of the virtual scattering amplitude [45-49]. The IR-finite function in Eq. (5) corresponds to the coefficient of the contribution in the expansion of the resummation formula. It reads [38]where the perturbative functions and are process independent and describe the emission of collinear radiation off the incoming partons. In Eq. (6) we have explicitly denoted the parton indices that are implicit in Eq. (5). The indices c and correspond to the incoming partons of the LO partonic cross section . The indices and are those of the parton densities and of the colliding hadrons. The partonic cross section in Eq. (5) depends on the renormalisation scale of and on the factorisation scale of the parton densities. In Eq. (6) and in the following (see Eqs. (9) and (12)) the explicit structure of the function is presented by setting . The exact dependence on and can straightforwardly be recovered by using renormalisation group invariance and evolution of the parton densities. In the quark annihilation channel () the functions and do not depend on , and the symbolic factor takes the formwithThe factor in the denominator is the LO contribution to the squared amplitude for the process (note that the power p depends on the process, see Eq. (16)). The IR-finite hard-virtual amplitude in Eq. (8) is defined in terms of the all-order renormalised virtual amplitude through an appropriate subtraction of IR singularities (see Eq. (15)). By using Eq. (3) the contribution of the azimuthal factor to Eq. (6) becomes trivial, and we obtainIn the gluon fusion channel () the collinear functions and can be decomposed as [50]where the tensors and , which multiply the helicity-conserving and helicity-flip components and , read ( with )Therefore, the function readswhereThe functions () and have perturbative expansionsThe helicity-conserving coefficients are known up to [51-54], and they are the same that contribute to Higgs boson [27] and vector-boson [55] production. Recently, their computation has been extended to the third order () [31-33]. The helicity-flip coefficients are known up to [56, 57]. The hard-virtual amplitude in Eq. (9) and (13) is expressed in terms of the all-order renormalised virtual amplitude aswhere is the subtraction operator whose perturbative expansion is given in Eq. (4). The general expression of the first order coefficient in Eq. (4) is known (see Appendix), while the result for the second-order coefficient is available only in the case of heavy-quark production [40, 58, 59]. The quantity on the right-hand side of Eq. (15) is the renormalised on-shell scattering amplitude and has the perturbative expansionThe perturbative expansion of is completely analogous to that in Eq. (16), with and the replacement (). At NLO we haveHaving discussed the perturbative ingredients entering the function , we can now examine its NLO and NNLO expansions. By inspecting Eqs. (9) and (12) we see that the NLO truncation of receives contributions only from the tree-level and one-loop hard-virtual amplitudes and , and from the first-order helicity-conserving coefficients . Indeed, at this perturbative order the azimuthally dependent terms in and do not contribute to Eq. (12) because of the azimuthal average. The hard-virtual one-loop amplitude can be computed with available one-loop generators such as OpenLoops [60-62] or Recola [63-65]. As a consequence, is available for the processes of interest, and, in particular, for production. The second-order coefficients are not available in general. Indeed, they depend on the hard-virtual amplitude , which in turn requires the knowledge of the renormalised two-loop amplitude, and of the subtraction operator . The computation of the two-loop amplitude for production is at the frontier of current techniques, and, moreover, is also not known yet. However, the NNLO contribution to can be completely determined for all the flavour off-diagonal partonic channels . The perturbative ingredients entering the calculation in the quark–antiquark annihilation channel (see Eq. (9)) are the corresponding tree-level () and one-loop () hard-virtual amplitudes and the first- and second-order helicity-conserving coefficients and . In the gluon fusion channel, the azimuthally dependent first-order coefficients of soft () and collinear () origin are also required. Indeed at NNLO such coefficients produce [38] non-vanishing mixed collinear–collinear and soft–collinear contributions in the expansion of Eq. (12). The general expression of the first-order coefficient is explicitly known (see Appendix). The evaluation of the ensuing NNLO contributions can be performed by computing the corresponding spin and colour-correlated squared tree-level amplitudes for the process . In summary, the current knowledge of transverse-momentum resummation for high-mass systems containing a heavy-quark pair and a colour singlet system allows us to use Eq. (5) to obtain the complete NLO corrections for this class of processes plus the NNLO corrections in the flavour off-diagonal partonic channels.

Results for production

Having discussed the content of Eq. (5), we are in a position to apply it to production and to obtain the complete NLO results plus the NNLO corrections in all the flavour off-diagonal partonic channels. Our NLO implementation of the calculation has the main purpose of illustrating the applicability of the subtraction method to production and, in particular, of cross-checking the subtraction methodology by numerical comparisons with NLO calculations performed by using more established NLO methods. Our NNLO results on production represent a first step (due to the missing flavour diagonal partonic channels) towards the complete NNLO calculation for this production process. Our results are obtained with two independent computations, which show complete agreement. In the first computation, up to NLO, we use the phase space generation routines from the MCFM program [66], suitably modified for subtraction along the lines of the corresponding numerical programs for Higgs boson [27] and vector-boson [55] production. The numerical integration is carried out using the Cuba library [67]. At NNLO accuracy the +jet cross section is evaluated by using the Munich code,2 which provides a fully automated implementation of the NLO dipole subtraction formalism [68-70] and an efficient phase space integration. The remaining flavour off-diagonal contributions at NNLO are evaluated with a dedicated fortran implementation. The second computation is directly implemented within the Matrix framework [71], suitably extended to production. In both implementations all the required tree-level and one-loop amplitudes are obtained with OpenLoops [60-62], including the tree-level spin- and colour-correlated amplitudes required to evaluate the contributions in Eq. (12). The dependence (data points) at (left) and (right) of the NLO total cross section computed by using subtraction. The bands show the extrapolated value at and the NLO results from Madgraph5_aMC@NLO (using FKS subtraction) and Matrix (using dipole subtraction) In order to numerically evaluate the contribution in the square bracket of Eq. (5), a technical cut-off is introduced on the dimensionless variable , where M is the invariant mass of the system. The final result, which corresponds to the limit , is extracted by computing the cross section at fixed values of in the range . Quadratic least fits are performed for different values of . The extrapolated value is then extracted from the fit with lowest degrees-of-freedom, and the uncertainty is estimated by comparing the results obtained by the different fits. This procedure is the same as implemented in matrix [71] and it has been shown to provide a conservative estimate of the systematic uncertainty in the subtraction procedure for various processes (see Sec. 7 in Ref. [71]). The ttH total cross section at LO and NLO, and its NNLO corrections in the flavour off-diagonal partonic channels. The numerical uncertainties at LO and NLO (Madgraph5_aMC@NLO, Matrix) are due to numerical integration, while at NLO ( subtraction) and NNLO they also include the systematics uncertainty from the extrapolation The NLO results of Madgraph5_aMC@NLO for the cross section dependence on several kinematic variables at . The lower panels show the relative comparison with the corresponding results obtained by using subtraction We consider pp collisions at the centre-of-mass energies and . We use the NNPDF31 [72] parton distribution functions (PDFs) with the QCD running coupling evaluated at each corresponding order (i.e., we use -loop at NLO, with ). The pole mass of the top quark is  GeV, the Higgs boson mass GeV, and the Fermi constant  GeV. The renormalisation and factorization scales, and , are fixed at . Our predictions for the LO and NLO cross sections and for the NNLO corrections in the flavour off-diagonal channels are presented in Table 1 together with their uncertainties due to the numerical integration and the extrapolation to , computed as explained above. The NLO cross section computed with subtraction is compared with the result obtained with Madgraph5_aMC@NLO [73], which uses FKS subtraction [74, 75] and with the corresponding result obtained with Matrix, which implements dipole subtraction [68-70].
Table 1

The ttH total cross section at LO and NLO, and its NNLO corrections in the flavour off-diagonal partonic channels. The numerical uncertainties at LO and NLO (Madgraph5_aMC@NLO, Matrix) are due to numerical integration, while at NLO ( subtraction) and NNLO they also include the systematics uncertainty from the extrapolation

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LO394.987(3)28228.2(2)
NLO (Madgraph5_aMC@NLO)499.76(4)36948(3)
NLO (Matrix)499.73(1)36947(1)
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We start our discussion from the NLO results. The NLO corrections increase the LO result by () at TeV ( TeV). The flavour off-diagonal channel contributes about () of the total NLO correction. As expected, from Table 1 we observe excellent agreement between the NLO cross section obtained with Madgraph5_aMC@NLO and Matrix. The result obtained with subtraction also agrees with Madgraph5_aMC@NLO and Matrix results. The quality of the extrapolation can be assessed by studying the behavior of the cross section at fixed values of . In Fig. 1 we investigate this behavior and show also the ( independent) NLO result obtained with Matrix, by using dipole subtraction, and Madgraph5_aMC@NLO, by using FKS subtraction. As expected, the dependence is linear [76, 77], contrary to what happens in the case of the production of a colourless final-state system (see Sec. 7 of Ref. [71]), where the power-like dependence of the total cross section on is known [78-80] to be quadratic (modulo logarithmic enhancements).
Fig. 1

The dependence (data points) at (left) and (right) of the NLO total cross section computed by using subtraction. The bands show the extrapolated value at and the NLO results from Madgraph5_aMC@NLO (using FKS subtraction) and Matrix (using dipole subtraction)

In Fig. 2 we present the NLO results for several differential distributions at and compare them with those obtained by using Madgraph5_aMC@NLO. In particular we consider the transverse-momentum (top left) and rapidity (top right) distributions of the Higgs boson, the transverse-momentum (center left) and rapidity (center right) distributions of the top quark, and the invariant-mass distributions of the top-quark pair (bottom left) and of the system (bottom right). We find excellent agreement between the two calculations, with bin-wise uncertainties at the percent-level or below. Our results are obtained by using a fixed value of , , which, as suggested by Fig. 1, already provides a good estimate of the NLO cross section. A similar level of agreement is found with the results obtained with dipole subtraction. We checked that the agreement also holds for different values of and .
Fig. 2

The NLO results of Madgraph5_aMC@NLO for the cross section dependence on several kinematic variables at . The lower panels show the relative comparison with the corresponding results obtained by using subtraction

The NNLO contribution of the qg (top) and (bottom) partonic channels to the total cross section at (left) and (right). The dependence of is normalized to its extrapolation at We now move to considering the NNLO contributions to the total cross section. In Table 1 we report our results for the contributions to the NNLO cross section from the flavour off-diagonal partonic channels . The contribution from all the channels with is labelled by the subscript qg, and the contribution from all the channels with is labelled by the subscript . We see that the NNLO corrections from both contributions are very small, at the few per mille level of the NLO cross section. At TeV they contribute with similar size and opposite sign, and, therefore, their overall quantitative effect in this setup is completely negligible. We also see that the numerical uncertainty of the NNLO correction in the qg channel is rather large. This is due to a cancellation between the two terms in Eq. (5): the term , which is independent, and the term in the square bracket, which depends on . This cancellation is observed at both TeV and TeV, but it is particularly severe at TeV, downgrading the numerical precision that can be obtained for the relative correction. Similar effects were observed for production in Refs. [39, 40]. In Fig. 3 we show the -dependence of the NNLO corrections of the flavour off-diagonal channels to the total cross section for production. The result is normalised to our extrapolation at . In the qg channel at TeV the extrapolation is particularly delicate, due to the cancellation discussed above. For some of the channels, the first few points at low values show relatively large instabilities, in particular again for the qg channel at in Fig. 3 (top-left). However, these points are not dropped in the fit, which is dominated by the behaviour at . The dependence confirms that our calculation can control the NNLO contributions in the off-diagonal partonic channels at the few percent level. Comparing with the behaviour for production (see Fig. 1 of Ref. [40]), the behaviour in Fig. 3 for production is qualitatively and quantitatively similar, and we do expect the extrapolation at in the flavour diagonal channels to work in a similar way for both production processes. Based on the experience with the NNLO calculations for heavy-quark production [40-42], this should be fully sufficient to obtain precise NNLO results by using the subtraction method once the presently unknown soft contributions and the two-loop amplitudes become available.
Fig. 3

The NNLO contribution of the qg (top) and (bottom) partonic channels to the total cross section at (left) and (right). The dependence of is normalized to its extrapolation at

Summary

In this paper we have considered the associated production of the SM Higgs boson with a top-quark pair, and, more generally, processes in which heavy-quark pairs are produced in association with a colourless final-state system F. We have pointed out that the transverse-momentum resummation formalism developed for production in Ref. [38] can be extended to associated production. This extension, which requires the evaluation of the appropriate resummation coefficients at the necessary perturbative accuracy, is also sufficient to apply the subtraction method to this class of processes. Using the resummation coefficients presented in this paper and the current knowledge of scattering amplitudes, it is possible to apply the subtraction formalism to production up to NLO and to obtain the NNLO corrections in all the flavour off-diagonal partonic channels. We have implemented for the first time the subtraction formalism for production, and we have presented first quantitative results at NLO and NNLO. The calculation is accurate at NLO in QCD, and the NNLO corrections have been computed for the flavour off-diagonal partonic channels. At NLO we have checked the correctness of our implementation by comparing with the results obtained by using tools that are based on established subtraction methods. We found complete agreement for the total cross section and for single-differential distributions. Within the setup that we have considered, we have found that the NNLO contribution of the off-diagonal partonic channels to the total cross section has a very small quantitative effect. The extension of this calculation to the diagonal channels requires further theoretical work to compute the two-loop virtual amplitudes, and the NNLO soft contributions to the resummation coefficients.
  14 in total

1.  Higgs radiation off top quarks at the Tevatron and the LHC.

Authors:  W Beenakker; S Dittmaier; M Krämer; B Plümper; M Spira; P M Zerwas
Journal:  Phys Rev Lett       Date:  2001-10-29       Impact factor: 9.161

2.  Scattering amplitudes with open loops.

Authors:  F Cascioli; P Maierhöfer; S Pozzorini
Journal:  Phys Rev Lett       Date:  2012-03-12       Impact factor: 9.161

3.  Two-loop divergences of QCD scattering amplitudes with massive partons.

Authors:  Andrea Ferroglia; Matthias Neubert; Ben D Pecjak; Li Lin Yang
Journal:  Phys Rev Lett       Date:  2009-11-12       Impact factor: 9.161

4.  Vector boson production at hadron colliders: a fully exclusive QCD calculation at next-to-next-to-leading order.

Authors:  Stefano Catani; Leandro Cieri; Giancarlo Ferrera; Daniel de Florian; Massimiliano Grazzini
Journal:  Phys Rev Lett       Date:  2009-08-18       Impact factor: 9.161

5.  Bootstrapping Rapidity Anomalous Dimensions for Transverse-Momentum Resummation.

Authors:  Ye Li; Hua Xing Zhu
Journal:  Phys Rev Lett       Date:  2017-01-11       Impact factor: 9.161

6.  Observation of tt[over ¯]H Production.

Authors:  A M Sirunyan; A Tumasyan; W Adam; F Ambrogi; E Asilar; T Bergauer; J Brandstetter; M Dragicevic; J Erö; A Escalante Del Valle; M Flechl; R Frühwirth; V M Ghete; J Hrubec; M Jeitler; N Krammer; I Krätschmer; D Liko; T Madlener; I Mikulec; N Rad; H Rohringer; J Schieck; R Schöfbeck; M Spanring; D Spitzbart; A Taurok; W Waltenberger; J Wittmann; C-E Wulz; M Zarucki; V Chekhovsky; V Mossolov; J Suarez Gonzalez; E A De Wolf; D Di Croce; X Janssen; J Lauwers; M Pieters; M Van De Klundert; H Van Haevermaet; P Van Mechelen; N Van Remortel; S Abu Zeid; F Blekman; J D'Hondt; I De Bruyn; J De Clercq; K Deroover; G Flouris; D Lontkovskyi; S Lowette; I Marchesini; S Moortgat; L Moreels; Q Python; K Skovpen; S Tavernier; W Van Doninck; P Van Mulders; I Van Parijs; D Beghin; B Bilin; H Brun; B Clerbaux; G De Lentdecker; H Delannoy; B Dorney; G Fasanella; L Favart; R Goldouzian; A Grebenyuk; A K Kalsi; T Lenzi; J Luetic; N Postiau; E Starling; L Thomas; C Vander Velde; P Vanlaer; D Vannerom; Q Wang; T Cornelis; D Dobur; A Fagot; M Gul; I Khvastunov; D Poyraz; C Roskas; D Trocino; M Tytgat; W Verbeke; B Vermassen; M Vit; N Zaganidis; H Bakhshiansohi; O Bondu; S Brochet; G Bruno; C Caputo; P David; C Delaere; M Delcourt; B Francois; A Giammanco; G Krintiras; V Lemaitre; A Magitteri; A Mertens; M Musich; K Piotrzkowski; A Saggio; M Vidal Marono; S Wertz; J Zobec; F L Alves; G A Alves; L Brito; M Correa Martins Junior; G Correia Silva; C Hensel; A Moraes; M E Pol; P Rebello Teles; E Belchior Batista Das Chagas; W Carvalho; J Chinellato; E Coelho; E M Da Costa; G G Da Silveira; D De Jesus Damiao; C De Oliveira Martins; S Fonseca De Souza; H Malbouisson; D Matos Figueiredo; M Melo De Almeida; C Mora Herrera; L Mundim; H Nogima; W L Prado Da Silva; L J Sanchez Rosas; A Santoro; A Sznajder; M Thiel; E J Tonelli Manganote; F Torres Da Silva De Araujo; A Vilela Pereira; S Ahuja; C A Bernardes; L Calligaris; T R Fernandez Perez Tomei; E M Gregores; P G Mercadante; S F Novaes; Sandra S Padula; D Romero Abad; A Aleksandrov; R Hadjiiska; P Iaydjiev; A Marinov; M Misheva; M Rodozov; M Shopova; G Sultanov; A Dimitrov; L Litov; B Pavlov; P Petkov; W Fang; X Gao; L Yuan; M Ahmad; J G Bian; G M Chen; H S Chen; M Chen; Y Chen; C H Jiang; D Leggat; H Liao; Z Liu; F Romeo; S M Shaheen; A Spiezia; J Tao; C Wang; Z Wang; E Yazgan; H Zhang; J Zhao; Y Ban; G Chen; A Levin; J Li; L Li; Q Li; Y Mao; S J Qian; D Wang; Z Xu; Y Wang; C Avila; A Cabrera; C A Carrillo Montoya; L F Chaparro Sierra; C Florez; C F González Hernández; M A Segura Delgado; B Courbon; N Godinovic; D Lelas; I Puljak; T Sculac; Z Antunovic; M Kovac; V Brigljevic; D Ferencek; K Kadija; B Mesic; A Starodumov; T Susa; M W Ather; A Attikis; M Kolosova; G Mavromanolakis; J Mousa; C Nicolaou; F Ptochos; P A Razis; H Rykaczewski; M Finger; M Finger; E Ayala; E Carrera Jarrin; H Abdalla; A A Abdelalim; A Mohamed; S Bhowmik; A Carvalho Antunes De Oliveira; R K Dewanjee; K Ehataht; M Kadastik; M Raidal; C Veelken; P Eerola; H Kirschenmann; J Pekkanen; M Voutilainen; J Havukainen; J K Heikkilä; T Järvinen; V Karimäki; R Kinnunen; T Lampén; K Lassila-Perini; S Laurila; S Lehti; T Lindén; P Luukka; T Mäenpää; H Siikonen; E Tuominen; J Tuominiemi; T Tuuva; M Besancon; F Couderc; M Dejardin; D Denegri; J L Faure; F Ferri; S Ganjour; A Givernaud; P Gras; G Hamel de Monchenault; P Jarry; C Leloup; E Locci; J Malcles; G Negro; J Rander; A Rosowsky; M Ö Sahin; M Titov; A Abdulsalam; C Amendola; I Antropov; F Beaudette; P Busson; C Charlot; R Granier de Cassagnac; I Kucher; A Lobanov; J Martin Blanco; M Nguyen; C Ochando; G Ortona; P Pigard; R Salerno; J B Sauvan; Y Sirois; A G Stahl Leiton; A Zabi; A Zghiche; J-L Agram; J Andrea; D Bloch; J-M Brom; E C Chabert; V Cherepanov; C Collard; E Conte; J-C Fontaine; D Gelé; U Goerlach; M Jansová; A-C Le Bihan; N Tonon; P Van Hove; S Gadrat; S Beauceron; C Bernet; G Boudoul; N Chanon; R Chierici; D Contardo; P Depasse; H El Mamouni; J Fay; L Finco; S Gascon; M Gouzevitch; G Grenier; B Ille; F Lagarde; I B Laktineh; H Lattaud; M Lethuillier; L Mirabito; A L Pequegnot; S Perries; A Popov; V Sordini; M Vander Donckt; S Viret; S Zhang; A Khvedelidze; Z Tsamalaidze; C Autermann; L Feld; M K Kiesel; K Klein; M Lipinski; M Preuten; M P Rauch; C Schomakers; J Schulz; M Teroerde; B Wittmer; V Zhukov; A Albert; D Duchardt; M Endres; M Erdmann; T Esch; R Fischer; S Ghosh; A Güth; T Hebbeker; C Heidemann; K Hoepfner; H Keller; S Knutzen; L Mastrolorenzo; M Merschmeyer; A Meyer; P Millet; S Mukherjee; T Pook; M Radziej; Y Rath; H Reithler; M Rieger; F Scheuch; A Schmidt; D Teyssier; G Flügge; O Hlushchenko; T Kress; A Künsken; T Müller; A Nehrkorn; A Nowack; C Pistone; O Pooth; D Roy; H Sert; A Stahl; M Aldaya Martin; T Arndt; C Asawatangtrakuldee; I Babounikau; K Beernaert; O Behnke; U Behrens; A Bermúdez Martínez; D Bertsche; A A Bin Anuar; K Borras; V Botta; A Campbell; P Connor; C Contreras-Campana; F Costanza; V Danilov; A De Wit; M M Defranchis; C Diez Pardos; D Domínguez Damiani; G Eckerlin; T Eichhorn; A Elwood; E Eren; E Gallo; A Geiser; J M Grados Luyando; A Grohsjean; P Gunnellini; M Guthoff; M Haranko; A Harb; J Hauk; H Jung; M Kasemann; J Keaveney; C Kleinwort; J Knolle; D Krücker; W Lange; A Lelek; T Lenz; K Lipka; W Lohmann; R Mankel; I-A Melzer-Pellmann; A B Meyer; M Meyer; M Missiroli; G Mittag; J Mnich; V Myronenko; S K Pflitsch; D Pitzl; A Raspereza; A Saibel; M Savitskyi; P Saxena; P Schütze; C Schwanenberger; R Shevchenko; A Singh; H Tholen; O Turkot; A Vagnerini; G P Van Onsem; R Walsh; Y Wen; K Wichmann; C Wissing; O Zenaiev; R Aggleton; S Bein; L Benato; A Benecke; V Blobel; M Centis Vignali; T Dreyer; E Garutti; D Gonzalez; J Haller; A Hinzmann; A Karavdina; G Kasieczka; R Klanner; R Kogler; N Kovalchuk; S Kurz; V Kutzner; J Lange; D Marconi; J Multhaup; M Niedziela; D Nowatschin; A Perieanu; A Reimers; O Rieger; C Scharf; P Schleper; S Schumann; J Schwandt; J Sonneveld; H Stadie; G Steinbrück; F M Stober; M Stöver; D Troendle; A Vanhoefer; B Vormwald; M Akbiyik; C Barth; M Baselga; S Baur; E Butz; R Caspart; T Chwalek; F Colombo; W De Boer; A Dierlamm; K El Morabit; N Faltermann; B Freund; M Giffels; M A Harrendorf; F Hartmann; S M Heindl; U Husemann; F Kassel; I Katkov; P Keicher; S Kudella; H Mildner; S Mitra; M U Mozer; Th Müller; M Plagge; G Quast; K Rabbertz; M Schröder; I Shvetsov; G Sieber; H J Simonis; R Ulrich; S Wayand; M Waßmer; M Weber; T Weiler; S Williamson; C Wöhrmann; R Wolf; G Anagnostou; G Daskalakis; T Geralis; A Kyriakis; D Loukas; G Paspalaki; I Topsis-Giotis; G Karathanasis; S Kesisoglou; P Kontaxakis; A Panagiotou; I Papavergou; N Saoulidou; E Tziaferi; K Vellidis; K Kousouris; I Papakrivopoulos; G Tsipolitis; I Evangelou; C Foudas; P Gianneios; P Katsoulis; P Kokkas; S Mallios; N Manthos; I Papadopoulos; E Paradas; J Strologas; F A Triantis; D Tsitsonis; M Bartók; M Csanad; N Filipovic; P Major; M I Nagy; G Pasztor; O Surányi; G I Veres; G Bencze; C Hajdu; D Horvath; Á Hunyadi; F Sikler; V Veszpremi; G Vesztergombi; T Á Vámi; N Beni; S Czellar; J Karancsi; A Makovec; J Molnar; Z Szillasi; P Raics; Z L Trocsanyi; B Ujvari; S Choudhury; J R Komaragiri; P C Tiwari; S Bahinipati; C Kar; P Mal; K Mandal; A Nayak; D K Sahoo; S K Swain; S Bansal; S B Beri; V Bhatnagar; S Chauhan; R Chawla; N Dhingra; R Gupta; A Kaur; A Kaur; M Kaur; S Kaur; R Kumar; P Kumari; M Lohan; A Mehta; K Sandeep; S Sharma; J B Singh; G Walia; Ashok Kumar; Aashaq Shah; A Bhardwaj; B C Choudhary; R B Garg; M Gola; S Keshri; S Malhotra; M Naimuddin; P Priyanka; K Ranjan; R Sharma; R Bhardwaj; M Bharti; R Bhattacharya; S Bhattacharya; U Bhawandeep; D Bhowmik; S Dey; S Dutt; S Dutta; S Ghosh; K Mondal; S Nandan; A Purohit; P K Rout; A Roy; S Roy Chowdhury; G Saha; S Sarkar; M Sharan; B Singh; S Thakur; P K Behera; R Chudasama; D Dutta; V Jha; V Kumar; P K Netrakanti; L M Pant; P Shukla; Ravindra Kumar Verma; T Aziz; M A Bhat; S Dugad; G B Mohanty; N Sur; B Sutar; S Banerjee; S Bhattacharya; S Chatterjee; P Das; M Guchait; Sa Jain; S Karmakar; S Kumar; M Maity; G Majumder; K Mazumdar; N Sahoo; T Sarkar; S Chauhan; S Dube; V Hegde; A Kapoor; K Kothekar; S Pandey; A Rane; S Sharma; S Chenarani; E Eskandari Tadavani; S M Etesami; M Khakzad; M Mohammadi Najafabadi; M Naseri; F Rezaei Hosseinabadi; B Safarzadeh; M Zeinali; M Felcini; M Grunewald; M Abbrescia; C Calabria; A Colaleo; D Creanza; L Cristella; N De Filippis; M De Palma; A Di Florio; F Errico; L Fiore; A Gelmi; G Iaselli; M Ince; S Lezki; G Maggi; M Maggi; G Miniello; S My; S Nuzzo; A Pompili; G Pugliese; R Radogna; A Ranieri; G Selvaggi; A Sharma; L Silvestris; R Venditti; P Verwilligen; G Zito; G Abbiendi; C Battilana; D Bonacorsi; L Borgonovi; S Braibant-Giacomelli; R Campanini; P Capiluppi; A Castro; F R Cavallo; S S Chhibra; C Ciocca; G Codispoti; M Cuffiani; G M Dallavalle; F Fabbri; A Fanfani; P Giacomelli; C Grandi; L Guiducci; F Iemmi; S Marcellini; G Masetti; A Montanari; F L Navarria; A Perrotta; F Primavera; A M Rossi; T Rovelli; G P Siroli; N Tosi; S Albergo; A Di Mattia; R Potenza; A Tricomi; C Tuve; G Barbagli; K Chatterjee; V Ciulli; C Civinini; R D'Alessandro; E Focardi; G Latino; P Lenzi; M Meschini; S Paoletti; L Russo; G Sguazzoni; D Strom; L Viliani; L Benussi; S Bianco; F Fabbri; D Piccolo; F Ferro; F Ravera; E Robutti; S Tosi; A Benaglia; A Beschi; L Brianza; F Brivio; V Ciriolo; S Di Guida; M E Dinardo; S Fiorendi; S Gennai; A Ghezzi; P Govoni; M Malberti; S Malvezzi; A Massironi; D Menasce; L Moroni; M Paganoni; D Pedrini; S Ragazzi; T Tabarelli de Fatis; D Zuolo; S Buontempo; N Cavallo; A Di Crescenzo; F Fabozzi; F Fienga; G Galati; A O M Iorio; W A Khan; L Lista; S Meola; P Paolucci; C Sciacca; E Voevodina; P Azzi; N Bacchetta; D Bisello; A Boletti; A Bragagnolo; R Carlin; P Checchia; M Dall'Osso; P De Castro Manzano; T Dorigo; F Fanzago; U Gasparini; A Gozzelino; S Y Hoh; S Lacaprara; P Lujan; M Margoni; A T Meneguzzo; J Pazzini; N Pozzobon; P Ronchese; R Rossin; F Simonetto; A Tiko; E Torassa; M Zanetti; P Zotto; G Zumerle; A Braghieri; A Magnani; P Montagna; S P Ratti; V Re; M Ressegotti; C Riccardi; P Salvini; I Vai; P Vitulo; L Alunni Solestizi; M Biasini; G M Bilei; C Cecchi; D Ciangottini; L Fanò; P Lariccia; R Leonardi; E Manoni; G Mantovani; V Mariani; M Menichelli; A Rossi; A Santocchia; D Spiga; K Androsov; P Azzurri; G Bagliesi; L Bianchini; T Boccali; L Borrello; R Castaldi; M A Ciocci; R Dell'Orso; G Fedi; F Fiori; L Giannini; A Giassi; M T Grippo; F Ligabue; E Manca; G Mandorli; A Messineo; F Palla; A Rizzi; P Spagnolo; R Tenchini; G Tonelli; A Venturi; P G Verdini; L Barone; F Cavallari; M Cipriani; N Daci; D Del Re; E Di Marco; M Diemoz; S Gelli; E Longo; B Marzocchi; P Meridiani; G Organtini; F Pandolfi; R Paramatti; F Preiato; S Rahatlou; C Rovelli; F Santanastasio; N Amapane; R Arcidiacono; S Argiro; M Arneodo; N Bartosik; R Bellan; C Biino; N Cartiglia; F Cenna; S Cometti; M Costa; R Covarelli; N Demaria; B Kiani; C Mariotti; S Maselli; E Migliore; V Monaco; E Monteil; M Monteno; M M Obertino; L Pacher; N Pastrone; M Pelliccioni; G L Pinna Angioni; A Romero; M Ruspa; R Sacchi; K Shchelina; V Sola; A Solano; D Soldi; A Staiano; S Belforte; V Candelise; M Casarsa; F Cossutti; G Della Ricca; F Vazzoler; A Zanetti; D H Kim; G N Kim; M S Kim; J Lee; S Lee; S W Lee; C S Moon; Y D Oh; S Sekmen; D C Son; Y C Yang; H Kim; D H Moon; G Oh; J Goh; T J Kim; S Cho; S Choi; Y Go; D Gyun; S Ha; B Hong; Y Jo; K Lee; K S Lee; S Lee; J Lim; S K Park; Y Roh; H S Kim; J Almond; J Kim; J S Kim; H Lee; K Lee; K Nam; S B Oh; B C Radburn-Smith; S H Seo; U K Yang; H D Yoo; G B Yu; D Jeon; H Kim; J H Kim; J S H Lee; I C Park; Y Choi; C Hwang; J Lee; I Yu; V Dudenas; A Juodagalvis; J Vaitkus; I Ahmed; Z A Ibrahim; M A B Md Ali; F Mohamad Idris; W A T Wan Abdullah; M N Yusli; Z Zolkapli; A Castaneda Hernandez; J A Murillo Quijada; R Reyes-Almanza; G Ramirez-Sanchez; M C Duran-Osuna; H Castilla-Valdez; E De La Cruz-Burelo; I Heredia-De La Cruz; R I Rabadan-Trejo; R Lopez-Fernandez; J Mejia Guisao; M Ramirez-Garcia; A Sanchez-Hernandez; S Carrillo Moreno; C Oropeza Barrera; F Vazquez Valencia; J Eysermans; I Pedraza; H A Salazar Ibarguen; C Uribe Estrada; A Morelos Pineda; D Krofcheck; S Bheesette; P H Butler; A Ahmad; M Ahmad; M I Asghar; Q Hassan; H R Hoorani; A Saddique; M A Shah; M Shoaib; M Waqas; H Bialkowska; M Bluj; B Boimska; T Frueboes; M Górski; M Kazana; K Nawrocki; M Szleper; P Traczyk; P Zalewski; K Bunkowski; A Byszuk; K Doroba; A Kalinowski; M Konecki; J Krolikowski; M Misiura; M Olszewski; A Pyskir; M Walczak; M Araujo; P Bargassa; C Beirão Da Cruz E Silva; A Di Francesco; P Faccioli; B Galinhas; M Gallinaro; J Hollar; N Leonardo; M V Nemallapudi; J Seixas; G Strong; O Toldaiev; D Vadruccio; J Varela; S Afanasiev; V Alexakhin; P Bunin; M Gavrilenko; A Golunov; I Golutvin; N Gorbounov; V Karjavin; A Lanev; A Malakhov; V Matveev; P Moisenz; V Palichik; V Perelygin; M Savina; S Shmatov; V Smirnov; N Voytishin; A Zarubin; V Golovtsov; Y Ivanov; V Kim; E Kuznetsova; P Levchenko; V Murzin; V Oreshkin; I Smirnov; D Sosnov; V Sulimov; L Uvarov; S Vavilov; A Vorobyev; Yu Andreev; A Dermenev; S Gninenko; N Golubev; A Karneyeu; M Kirsanov; N Krasnikov; A Pashenkov; D Tlisov; A Toropin; V Epshteyn; V Gavrilov; N Lychkovskaya; V Popov; I Pozdnyakov; G Safronov; A Spiridonov; A Stepennov; V Stolin; M Toms; E Vlasov; A Zhokin; T Aushev; R Chistov; M Danilov; P Parygin; D Philippov; S Polikarpov; E Tarkovskii; V Andreev; M Azarkin; I Dremin; M Kirakosyan; S V Rusakov; A Terkulov; A Baskakov; A Belyaev; E Boos; V Bunichev; M Dubinin; L Dudko; V Klyukhin; O Kodolova; N Korneeva; I Lokhtin; I Miagkov; S Obraztsov; M Perfilov; V Savrin; P Volkov; V Blinov; T Dimova; L Kardapoltsev; D Shtol; Y Skovpen; I Azhgirey; I Bayshev; S Bitioukov; D Elumakhov; A Godizov; V Kachanov; A Kalinin; D Konstantinov; P Mandrik; V Petrov; R Ryutin; S Slabospitskii; A Sobol; S Troshin; N Tyurin; A Uzunian; A Volkov; A Babaev; S Baidali; V Okhotnikov; P Adzic; P Cirkovic; D Devetak; M Dordevic; J Milosevic; J Alcaraz Maestre; I Bachiller; M Barrio Luna; J A Brochero Cifuentes; M Cerrada; N Colino; B De La Cruz; A Delgado Peris; C Fernandez Bedoya; J P Fernández Ramos; J Flix; M C Fouz; O Gonzalez Lopez; S Goy Lopez; J M Hernandez; M I Josa; D Moran; A Pérez-Calero Yzquierdo; J Puerta Pelayo; I Redondo; L Romero; M S Soares; A Triossi; A Álvarez Fernández; C Albajar; J F de Trocóniz; J Cuevas; C Erice; J Fernandez Menendez; S Folgueras; I Gonzalez Caballero; J R González Fernández; E Palencia Cortezon; V Rodríguez Bouza; S Sanchez Cruz; P Vischia; J M Vizan Garcia; I J Cabrillo; A Calderon; B Chazin Quero; J Duarte Campderros; M Fernandez; P J Fernández Manteca; J Garcia-Ferrero; A García Alonso; G Gomez; A Lopez Virto; J Marco; C Martinez Rivero; P Martinez Ruiz Del Arbol; F Matorras; J Piedra Gomez; C Prieels; T Rodrigo; A Ruiz-Jimeno; L Scodellaro; N Trevisani; I Vila; R Vilar Cortabitarte; D Abbaneo; B Akgun; E Auffray; P Baillon; A H Ball; D Barney; J Bendavid; M Bianco; A Bocci; C Botta; E Brondolin; T Camporesi; M Cepeda; G Cerminara; E Chapon; Y Chen; G Cucciati; D d'Enterria; A Dabrowski; V Daponte; A David; A De Roeck; N Deelen; M Dobson; M Dünser; N Dupont; A Elliott-Peisert; P Everaerts; F Fallavollita; D Fasanella; G Franzoni; J Fulcher; W Funk; D Gigi; A Gilbert; K Gill; F Glege; M Guilbaud; D Gulhan; J Hegeman; V Innocente; A Jafari; P Janot; O Karacheban; J Kieseler; A Kornmayer; M Krammer; C Lange; P Lecoq; C Lourenço; L Malgeri; M Mannelli; F Meijers; J A Merlin; S Mersi; E Meschi; P Milenovic; F Moortgat; M Mulders; J Ngadiuba; S Orfanelli; L Orsini; F Pantaleo; L Pape; E Perez; M Peruzzi; A Petrilli; G Petrucciani; A Pfeiffer; M Pierini; F M Pitters; D Rabady; A Racz; T Reis; G Rolandi; M Rovere; H Sakulin; C Schäfer; C Schwick; M Seidel; M Selvaggi; A Sharma; P Silva; P Sphicas; A Stakia; J Steggemann; M Tosi; D Treille; A Tsirou; V Veckalns; W D Zeuner; L Caminada; K Deiters; W Erdmann; R Horisberger; Q Ingram; H C Kaestli; D Kotlinski; U Langenegger; T Rohe; S A Wiederkehr; M Backhaus; L Bäni; P Berger; N Chernyavskaya; G Dissertori; M Dittmar; M Donegà; C Dorfer; C Grab; C Heidegger; D Hits; J Hoss; T Klijnsma; W Lustermann; R A Manzoni; M Marionneau; M T Meinhard; F Micheli; P Musella; F Nessi-Tedaldi; J Pata; F Pauss; G Perrin; L Perrozzi; S Pigazzini; M Quittnat; D Ruini; D A Sanz Becerra; M Schönenberger; L Shchutska; V R Tavolaro; K Theofilatos; M L Vesterbacka Olsson; R Wallny; D H Zhu; T K Aarrestad; C Amsler; D Brzhechko; M F Canelli; A De Cosa; R Del Burgo; S Donato; C Galloni; T Hreus; B Kilminster; I Neutelings; D Pinna; G Rauco; P Robmann; D Salerno; K Schweiger; C Seitz; Y Takahashi; A Zucchetta; Y H Chang; K Y Cheng; T H Doan; Sh Jain; R Khurana; C M Kuo; W Lin; A Pozdnyakov; S S Yu; Arun Kumar; P Chang; Y Chao; K F Chen; P H Chen; W-S Hou; Y Y Li; Y F Liu; R-S Lu; E Paganis; A Psallidas; A Steen; B Asavapibhop; N Srimanobhas; N Suwonjandee; A Bat; F Boran; S Cerci; S Damarseckin; Z S Demiroglu; F Dolek; C Dozen; I Dumanoglu; S Girgis; G Gokbulut; Y Guler; E Gurpinar; I Hos; C Isik; E E Kangal; O Kara; A Kayis Topaksu; U Kiminsu; M Oglakci; G Onengut; K Ozdemir; S Ozturk; D Sunar Cerci; B Tali; U G Tok; S Turkcapar; I S Zorbakir; C Zorbilmez; B Isildak; G Karapinar; M Yalvac; M Zeyrek; I O Atakisi; E Gülmez; M Kaya; O Kaya; S Tekten; E A Yetkin; M N Agaras; S Atay; A Cakir; K Cankocak; Y Komurcu; S Sen; B Grynyov; L Levchuk; F Ball; L Beck; J J Brooke; D Burns; E Clement; D Cussans; O Davignon; H Flacher; J Goldstein; G P Heath; H F Heath; L Kreczko; D M Newbold; S Paramesvaran; B Penning; T Sakuma; D Smith; V J Smith; J Taylor; A Titterton; K W Bell; A Belyaev; C Brew; R M Brown; D Cieri; D J A Cockerill; J A Coughlan; K Harder; S Harper; J Linacre; E Olaiya; D Petyt; C H Shepherd-Themistocleous; A Thea; I R Tomalin; T Williams; W J Womersley; G Auzinger; R Bainbridge; P Bloch; J Borg; S Breeze; O Buchmuller; A Bundock; S Casasso; D Colling; L Corpe; P Dauncey; G Davies; M Della Negra; R Di Maria; Y Haddad; G Hall; G Iles; T James; M Komm; C Laner; L Lyons; A-M Magnan; S Malik; A Martelli; J Nash; A Nikitenko; V Palladino; M Pesaresi; A Richards; A Rose; E Scott; C Seez; A Shtipliyski; T Strebler; S Summers; A Tapper; K Uchida; T Virdee; N Wardle; D Winterbottom; J Wright; S C Zenz; J E Cole; P R Hobson; A Khan; P Kyberd; C K Mackay; A Morton; I D Reid; L Teodorescu; S Zahid; K Call; J Dittmann; K Hatakeyama; H Liu; C Madrid; B Mcmaster; N Pastika; C Smith; R Bartek; A Dominguez; A Buccilli; S I Cooper; C Henderson; P Rumerio; C West; D Arcaro; T Bose; D Gastler; D Rankin; C Richardson; J Rohlf; L Sulak; D Zou; G Benelli; X Coubez; D Cutts; M Hadley; J Hakala; U Heintz; J M Hogan; K H M Kwok; E Laird; G Landsberg; J Lee; Z Mao; M Narain; S Piperov; S Sagir; R Syarif; E Usai; D Yu; R Band; C Brainerd; R Breedon; D Burns; M Calderon De La Barca Sanchez; M Chertok; J Conway; R Conway; P T Cox; R Erbacher; C Flores; G Funk; W Ko; O Kukral; R Lander; M Mulhearn; D Pellett; J Pilot; S Shalhout; M Shi; D Stolp; D Taylor; K Tos; M Tripathi; Z Wang; F Zhang; M Bachtis; C Bravo; R Cousins; A Dasgupta; A Florent; J Hauser; M Ignatenko; N Mccoll; S Regnard; D Saltzberg; C Schnaible; V Valuev; E Bouvier; K Burt; R Clare; J W Gary; S M A Ghiasi Shirazi; G Hanson; G Karapostoli; E Kennedy; F Lacroix; O R Long; M Olmedo Negrete; M I Paneva; W Si; L Wang; H Wei; S Wimpenny; B R Yates; J G Branson; S Cittolin; M Derdzinski; R Gerosa; D Gilbert; B Hashemi; A Holzner; D Klein; G Kole; V Krutelyov; J Letts; M Masciovecchio; D Olivito; S Padhi; M Pieri; M Sani; V Sharma; S Simon; M Tadel; A Vartak; S Wasserbaech; J Wood; F Würthwein; A Yagil; G Zevi Della Porta; N Amin; R Bhandari; J Bradmiller-Feld; C Campagnari; M Citron; A Dishaw; V Dutta; M Franco Sevilla; L Gouskos; R Heller; J Incandela; A Ovcharova; H Qu; J Richman; D Stuart; I Suarez; S Wang; J Yoo; D Anderson; A Bornheim; J M Lawhorn; H B Newman; T Q Nguyen; M Spiropulu; J R Vlimant; R Wilkinson; S Xie; Z Zhang; R Y Zhu; M B Andrews; T Ferguson; T Mudholkar; M Paulini; M Sun; I Vorobiev; M Weinberg; J P Cumalat; W T Ford; F Jensen; A Johnson; M Krohn; S Leontsinis; E MacDonald; T Mulholland; K Stenson; K A Ulmer; S R Wagner; J Alexander; J Chaves; Y Cheng; J Chu; A Datta; K Mcdermott; N Mirman; J R Patterson; D Quach; A Rinkevicius; A Ryd; L Skinnari; L Soffi; S M Tan; Z Tao; J Thom; J Tucker; P Wittich; M Zientek; S Abdullin; M Albrow; M Alyari; G Apollinari; A Apresyan; A Apyan; S Banerjee; L A T Bauerdick; A Beretvas; J Berryhill; P C Bhat; G Bolla; K Burkett; J N Butler; A Canepa; G B Cerati; H W K Cheung; F Chlebana; M Cremonesi; J Duarte; V D Elvira; J Freeman; Z Gecse; E Gottschalk; L Gray; D Green; S Grünendahl; O Gutsche; J Hanlon; R M Harris; S Hasegawa; J Hirschauer; Z Hu; B Jayatilaka; S Jindariani; M Johnson; U Joshi; B Klima; M J Kortelainen; B Kreis; S Lammel; D Lincoln; R Lipton; M Liu; T Liu; J Lykken; K Maeshima; J M Marraffino; D Mason; P McBride; P Merkel; S Mrenna; S Nahn; V O'Dell; K Pedro; O Prokofyev; G Rakness; L Ristori; A Savoy-Navarro; B Schneider; E Sexton-Kennedy; A Soha; W J Spalding; L Spiegel; S Stoynev; J Strait; N Strobbe; L Taylor; S Tkaczyk; N V Tran; L Uplegger; E W Vaandering; C Vernieri; M Verzocchi; R Vidal; M Wang; H A Weber; A Whitbeck; D Acosta; P Avery; P Bortignon; D Bourilkov; A Brinkerhoff; L Cadamuro; A Carnes; M Carver; D Curry; R D Field; S V Gleyzer; B M Joshi; J Konigsberg; A Korytov; P Ma; K Matchev; H Mei; G Mitselmakher; K Shi; D Sperka; J Wang; S Wang; Y R Joshi; S Linn; A Ackert; T Adams; A Askew; S Hagopian; V Hagopian; K F Johnson; T Kolberg; G Martinez; T Perry; H Prosper; A Saha; C Schiber; V Sharma; R Yohay; M M Baarmand; V Bhopatkar; S Colafranceschi; M Hohlmann; D Noonan; M Rahmani; T Roy; F Yumiceva; M R Adams; L Apanasevich; D Berry; R R Betts; R Cavanaugh; X Chen; S Dittmer; O Evdokimov; C E Gerber; D A Hangal; D J Hofman; K Jung; J Kamin; C Mills; I D Sandoval Gonzalez; M B Tonjes; N Varelas; H Wang; X Wang; Z Wu; J Zhang; M Alhusseini; B Bilki; W Clarida; K Dilsiz; S Durgut; R P Gandrajula; M Haytmyradov; V Khristenko; J-P Merlo; A Mestvirishvili; A Moeller; J Nachtman; H Ogul; Y Onel; F Ozok; A Penzo; C Snyder; E Tiras; J Wetzel; B Blumenfeld; A Cocoros; N Eminizer; D Fehling; L Feng; A V Gritsan; W T Hung; P Maksimovic; J Roskes; U Sarica; M Swartz; M Xiao; C You; A Al-Bataineh; P Baringer; A Bean; S Boren; J Bowen; A Bylinkin; J Castle; S Khalil; A Kropivnitskaya; D Majumder; W Mcbrayer; M Murray; C Rogan; S Sanders; E Schmitz; J D Tapia Takaki; Q Wang; S Duric; A Ivanov; K Kaadze; D Kim; Y Maravin; D R Mendis; T Mitchell; A Modak; A Mohammadi; L K Saini; N Skhirtladze; F Rebassoo; D Wright; A Baden; O Baron; A Belloni; S C Eno; Y Feng; C Ferraioli; N J Hadley; S Jabeen; G Y Jeng; R G Kellogg; J Kunkle; A C Mignerey; F Ricci-Tam; Y H Shin; A Skuja; S C Tonwar; K Wong; D Abercrombie; B Allen; V Azzolini; A Baty; G Bauer; R Bi; S Brandt; W Busza; I A Cali; M D'Alfonso; Z Demiragli; G Gomez Ceballos; M Goncharov; P Harris; D Hsu; M Hu; Y Iiyama; G M Innocenti; M Klute; D Kovalskyi; Y-J Lee; P D Luckey; B Maier; A C Marini; C Mcginn; C Mironov; S Narayanan; X Niu; C Paus; C Roland; G Roland; G S F Stephans; K Sumorok; K Tatar; D Velicanu; J Wang; T W Wang; B Wyslouch; S Zhaozhong; A C Benvenuti; R M Chatterjee; A Evans; P Hansen; S Kalafut; Y Kubota; Z Lesko; J Mans; S Nourbakhsh; N Ruckstuhl; R Rusack; J Turkewitz; M A Wadud; J G Acosta; S Oliveros; E Avdeeva; K Bloom; D R Claes; C Fangmeier; F Golf; R Gonzalez Suarez; R Kamalieddin; I Kravchenko; J Monroy; J E Siado; G R Snow; B Stieger; A Godshalk; C Harrington; I Iashvili; A Kharchilava; C Mclean; D Nguyen; A Parker; S Rappoccio; B Roozbahani; E Barberis; C Freer; A Hortiangtham; D M Morse; T Orimoto; R Teixeira De Lima; T Wamorkar; B Wang; A Wisecarver; D Wood; S Bhattacharya; O Charaf; K A Hahn; N Mucia; N Odell; M H Schmitt; K Sung; M Trovato; M Velasco; R Bucci; N Dev; M Hildreth; K Hurtado Anampa; C Jessop; D J Karmgard; N Kellams; K Lannon; W Li; N Loukas; N Marinelli; F Meng; C Mueller; Y Musienko; M Planer; A Reinsvold; R Ruchti; P Siddireddy; G Smith; S Taroni; M Wayne; A Wightman; M Wolf; A Woodard; J Alimena; L Antonelli; B Bylsma; L S Durkin; S Flowers; B Francis; A Hart; C Hill; W Ji; A Lefeld; T Y Ling; W Luo; B L Winer; H W Wulsin; S Cooperstein; P Elmer; J Hardenbrook; S Higginbotham; A Kalogeropoulos; D Lange; M T Lucchini; J Luo; D Marlow; K Mei; I Ojalvo; J Olsen; C Palmer; P Piroué; J Salfeld-Nebgen; D Stickland; C Tully; S Malik; S Norberg; A Barker; V E Barnes; L Gutay; M Jones; A W Jung; A Khatiwada; B Mahakud; D H Miller; N Neumeister; C C Peng; H Qiu; J F Schulte; J Sun; F Wang; R Xiao; W Xie; T Cheng; J Dolen; N Parashar; Z Chen; K M Ecklund; S Freed; F J M Geurts; M Kilpatrick; W Li; B Michlin; B P Padley; J Roberts; J Rorie; W Shi; Z Tu; J Zabel; A Zhang; A Bodek; P de Barbaro; R Demina; Y T Duh; J L Dulemba; C Fallon; T Ferbel; M Galanti; A Garcia-Bellido; J Han; O Hindrichs; A Khukhunaishvili; K H Lo; P Tan; R Taus; M Verzetti; A Agapitos; J P Chou; Y Gershtein; T A Gómez Espinosa; E Halkiadakis; M Heindl; E Hughes; S Kaplan; R Kunnawalkam Elayavalli; S Kyriacou; A Lath; R Montalvo; K Nash; M Osherson; H Saka; S Salur; S Schnetzer; D Sheffield; S Somalwar; R Stone; S Thomas; P Thomassen; M Walker; A G Delannoy; J Heideman; G Riley; S Spanier; K Thapa; O Bouhali; A Celik; M Dalchenko; M De Mattia; A Delgado; S Dildick; R Eusebi; J Gilmore; T Huang; T Kamon; S Luo; R Mueller; R Patel; A Perloff; L Perniè; D Rathjens; A Safonov; N Akchurin; J Damgov; F De Guio; P R Dudero; S Kunori; K Lamichhane; S W Lee; T Mengke; S Muthumuni; T Peltola; S Undleeb; I Volobouev; Z Wang; S Greene; A Gurrola; R Janjam; W Johns; C Maguire; A Melo; H Ni; K Padeken; J D Ruiz Alvarez; P Sheldon; S Tuo; J Velkovska; M Verweij; Q Xu; M W Arenton; P Barria; B Cox; R Hirosky; M Joyce; A Ledovskoy; H Li; C Neu; T Sinthuprasith; Y Wang; E Wolfe; F Xia; R Harr; P E Karchin; N Poudyal; J Sturdy; P Thapa; S Zaleski; M Brodski; J Buchanan; C Caillol; D Carlsmith; S Dasu; L Dodd; B Gomber; M Grothe; M Herndon; A Hervé; U Hussain; P Klabbers; A Lanaro; K Long; R Loveless; T Ruggles; A Savin; N Smith; W H Smith; N Woods
Journal:  Phys Rev Lett       Date:  2018-06-08       Impact factor: 9.161

7.  Quark Transverse Parton Distribution at the Next-to-Next-to-Next-to-Leading Order.

Authors:  Ming-Xing Luo; Tong-Zhi Yang; Hua Xing Zhu; Yu Jiao Zhu
Journal:  Phys Rev Lett       Date:  2020-03-06       Impact factor: 9.161

8.  Next-to-leading order results for tt macro h production at the Tevatron.

Authors:  L Reina; S Dawson
Journal:  Phys Rev Lett       Date:  2001-10-29       Impact factor: 9.161

9.  Transverse-momentum resummation for top-quark pairs at hadron colliders.

Authors:  Hua Xing Zhu; Chong Sheng Li; Hai Tao Li; Ding Yu Shao; Li Lin Yang
Journal:  Phys Rev Lett       Date:  2013-02-20       Impact factor: 9.161

10.  The q T subtraction method: electroweak corrections and power suppressed contributions.

Authors:  Luca Buonocore; Massimiliano Grazzini; Francesco Tramontano
Journal:  Eur Phys J C Part Fields       Date:  2020-03-19       Impact factor: 4.590

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