318 research outputs found

    Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at √ s = 8 TeV with the ATLAS detector

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    Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses 20.3 fb−1 of √ s = 8 TeV data collected in 2012 with the ATLAS detector at the LHC. Events are required to have at least one jet with pT > 120 GeV and no leptons. Nine signal regions are considered with increasing missing transverse momentum requirements between Emiss T > 150 GeV and Emiss T > 700 GeV. Good agreement is observed between the number of events in data and Standard Model expectations. The results are translated into exclusion limits on models with either large extra spatial dimensions, pair production of weakly interacting dark matter candidates, or production of very light gravitinos in a gauge-mediated supersymmetric model. In addition, limits on the production of an invisibly decaying Higgs-like boson leading to similar topologies in the final state are presente

    A state-of-the-art review of curve squeal noise: Phenomena, mechanisms, modelling and mitigation

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    [EN] Curve squeal is an intense tonal noise occurring when a rail vehicle negotiates a sharp curve. The phenomenon can be considered to be chaotic, with a widely differing likelihood of occurrence on different days or even times of day. The term curve squeal may include several different phenomena with a wide range of dominant frequencies and potentially different excitation mechanisms. This review addresses the different squeal phenomena and the approaches used to model squeal noise; both time-domain and frequency-domain approaches are discussed and compared. Supporting measurements using test rigs and field tests are also summarised. A particular aspect that is addressed is the excitation mechanism. Two mechanisms have mainly been considered in previous publications. In many early papers the squeal was supposed to be generated by the so-called falling friction characteristic in which the friction coefficient reduces with increasing sliding velocity. More recently the mode coupling mechanism has been raised as an alternative. These two mechanisms are explained and compared and the evidence for each is discussed. Finally, a short review is given of mitigation measures and some suggestions are offered for why these are not always successful.Squicciarini, G.; Thompson, D.; Ding, B.; Baeza González, LM. (2018). A state-of-the-art review of curve squeal noise: Phenomena, mechanisms, modelling and mitigation. Notes on Numerical Fluid Mechanics and Multidisciplinary Design. 139:3-41. https://doi.org/10.1007/978-3-319-73411-8_1S341139Anderson, D., Wheatley, N., Fogarty, B., Jiang, J., Howie, A., Potter, W.: Mitigation of curve squeal noise in Queensland, New South Wales and South Australia. In: Conference on Railway Engineering. pp. 625–636, Perth, Australia (2008)Hanson, D., Jiang, J., Dowdell, B., Dwight, R.: Curve squeal: causes, treatments and results. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings, vol. 249, pp. 6316–6323. Melbourne, Australia (2014)Rudd, M.J.: Wheel/rail noise—part II: wheel squeal. J. Sound Vib. 46(3), 381–394 (1976)Remington, P.J.: Wheel/rail squeal and impact noise: what do we know? What don’t we know? Where do we go from here? J. Sound Vib. 116(2), 339–353 (1987)Remington, P.J.: Wheel/rail rolling noise: what do we know? What don’t we know? Where do we go from here? J. Sound Vib. 120(2), 203–226 (1988)Wickens, A.H.: Fundamentals of Rail Vehicle Dynamics, Guidance and Stability. Swets & Zeitlinger, Lisse (2003)Thompson, D.J.: Railway Noise and Vibration: Mechanisms, Modelling and Mitigation. Elsevier, Oxford (2009)Kalker, J.J.: Three Dimensional Elastic Bodies in Rolling Contact. Kluwer academic publishers, Dordrecht (1990)Vermeulen, P.J., Johnson, K.L.: Contact of nonspherical elastic bodies transmitting tangential forces. J. Appl. Mech. 31(2), 338–340 (1964)Shen, Z.Y., Hedrick, J.K., Elkins, J.A.: A comparison of alternative creep-force models for rail vehicle dynamic analysis. In: Proceedings of 8th IAVSD Symposium, Cambridge MA, Swets and Zeitlinger, Lisse, pp. 591–605 (1983)Huang, Z.Y.: Theoretical Modelling of Railway Curve Squeal. Ph.D. thesis, University of Southampton, UK (2007)Hoffmann, N., Fischer, M., Allgaier, R., Gaul, L.: A minimal model for studying properties of the mode-coupling type instability in friction induced oscillations. Mech. Res. Commun. 29(4), 197–205 (2002)Hoffmann, N., Gaul, L.: Effects of damping on mode-coupling instability in friction induced oscillations. J. Appl. Math. Mech. 83(8), 524–534 (2003)Sinou, J.J., Jezequel, L.: Mode coupling instability in friction-induced vibrations and its dependency on system parameters including damping. Eur. J. Mech.-A/Solids 26(1), 106–122 (2007)Johnson, K.L.: Contact Mechanics. Cambridge University Press, Cambridge (1985)Kinkaid, N.M., O’Reilly, O.M., Papadopoulos, P.: Automotive disc brake squeal. J. Sound Vib. 267(1), 105–166 (2003)Ghazaly, N.M., El-Sharkawy, M., Ahmed, I.: A review of automotive brake squeal mechanisms. J. Mech. Des. Vibr. 1(1), 5–9 (2013)Ouyang, H., Nack, W., Yuan, Y., Chen, F.: Numerical analysis of automotive disc brake squeal: a review. Int. J. Veh. Noise Vib. 1(3–4), 207–231 (2005)Dorf, R.C., Bishop, R.H.: Modern Control Systems, 11th edn. Prentice Hall. (2008)De Beer, F.G., Janssens, M.H.A., Kooijman, P.P., van Vliet, W.J.: Curve squeal of railbound vehicles (part 1): frequency domain calculation model. In: Proceedings of Internoise, vol. 3, pp. 1560–1563. Nice, France (2000)Von Stappenbeck, H.: Das Kurvengeräusch der Straßenbahn. Möglichkeiten zu seiner Unterdrückung. Z. VDI 96(6), 171–175 (1954)Van Ruiten, C.J.M.: Mechanism of squeal noise generated by trams. J. Sound Vib. 120(2), 245–253 (1988)Nakai, M., Chiba, Y., Yokoi, M.: Railway wheel squeal: 1st report, on frequency of squeal. Bull. Jpn. Soc. Mech. Eng. 25, 1127–1134 (1982)Nakai, M., Chiba, Y., Yokoi, M.: Railway wheel squeal: 2nd report, mechanism of specific squeal frequency. Bull. Jpn. Soc. Mech. Eng. 27, 301–308 (1984)Nakai, M., Chiba, Y., Yokoi, M.: Railway wheel squeal: 3rd report, squeal of a disk simulating a wheel in internal resonances. Bull. Jpn. Soc. Mech. Eng. 28, 500–507 (1985)Schneider, E., Popp, K., Irretier, H.: Noise generation in railway wheels due to rail-wheel contact forces. J. Sound Vib. 120(2), 227–244 (1988)Kraft, K.: Der Einfluß der Fahrgeschwindigkeit auf den Haftwert zwischen Rad und Schiene. Arch. für Eisenbahntechnik 22, 58–78 (1967)Fingberg, U.: A model of wheel-rail squealing noise. J. Sound Vib. 143(3), 365–377 (1990)Périard, F.: Wheel-Rail Noise Generation: Curve Squealing by Trams. Ph.D. thesis, Technische Universiteit Delft (1998)Heckl, M.A., Abrahams, I.D.: Curve squeal of train wheels, part 1: mathematical model for its generation. J. Sound Vib. 229(3), 669–693 (2000)Heckl, M.A.: Curve squeal of train wheels, part 2: which wheel modes are prone to squeal? J. Sound Vib. 229(3), 695–707 (2000)Heckl, M.A.: Curve squeal of train wheels: unstable modes and limit cycles. Proc. R. Soc. Lond. A: Math. Phys. Eng. Sci. 458, 1949–1965 (2002)Liu, X., Meehan, P.A.: Wheel squeal noise: a simplified model to simulate the effect of rolling speed and angle of attack. J. Sound Vib. 338, 184–198 (2015)Meehan, P.A., Liu, X.: Analytical prediction and investigation of wheel squeal amplitude. In: Anderson, D., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 139, pp 69–80. Springer, Heidelberg (2018)Kooijman, P.P., Van Vliet, W.J., Janssens, M.H.A., De Beer, F.G.: Curve squeal of railbound vehicles (part 2): set-up for measurement of creepage dependent friction coefficient. In: Proceedings of Internoise, vol. 3, pp. 1564–1567. Nice, France (2000)De Beer, F.G., Janssens, M.H.A., Kooijman, P.P.: Squeal noise of rail-bound vehicles influenced by lateral contact position. J. Sound Vib. 267(3), 497–507 (2003)Thompson, D.J., Hemsworth, B., Vincent, N.: Experimental validation of the TWINS prediction program for rolling noise, part 1: description of the model and method. J. Sound Vib. 193(1), 123–135 (1996)Monk-Steel, A., Thompson, D.J.: Models for railway curve squeal noise. In: VIII International Conference on Recent Advances in Structural Dynamics, Southampton, UK (2003)Barman, J.F., Katzenelson, J.: A generalized Nyquist-type stability criterion for multivariable feedback systems. Int. J. Control 20(4), 593–622 (1974)Huang, Z.Y., Thompson, D.J., Jones, C.J.C.: Squeal prediction for a bogied vehicle in a curve. In Schulte-Werning, B., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM vol. 99, pp. 313–319. Springer, Heidelberg (2008)Hsu, S.S., Huang, Z., Iwnicki, S.D., Thompson, D.J., Jones, C.J., Xie, G., Allen, P.D.: Experimental and theoretical investigation of railway wheel squeal. Proc. Inst. Mech. Eng. Part F: J. Rail Rapid Transit 221(1), 59–73 (2007)Squicciarini, G., Usberti, S., Thompson, D.J., Corradi, R., Barbera, A.: Curve squeal in the presence of two wheel/rail contact points. In: Nielsen, J.C.O., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 126, pp. 603–610. Springer, Heidelberg (2015)Xie, G., Allen, P.D., Iwnicki, S.D., Alonso, A., Thompson, D.J., Jones, C.J., Huang, Z.Y.: Introduction of falling friction coefficients into curving calculations for studying curve squeal noise. Veh. Syst. Dyn. 44(sup1), 261–271 (2006)Giménez, J.G., Alonso, A., Gómez, E.: Introduction of a friction coefficient dependent on the slip in the FastSim algorithm. Veh. Syst. Dyn. 43(4), 233–244 (2005)Chiello, O., Ayasse, J.B., Vincent, N., Koch, J.R.: Curve squeal of urban rolling stock—part 3: theoretical model. J. Sound Vib. 293(3), 710–727 (2006)Collette, C.: Importance of the wheel vertical dynamics in the squeal noise mechanism on a scaled test bench. Shock Vibr. 19(2), 145–153 (2012)Brunel, J.F., Dufrénoy, P., Naït, M., Muñoz, J.L., Demilly, F.: Transient models for curve squeal noise. J. Sound Vib. 293(3), 758–765 (2006)Glocker, C., Cataldi-Spinola, E., Leine, R.I.: Curve squealing of trains: measurement, modelling and simulation. J. Sound Vib. 324(1), 365–386 (2009)Pieringer, A.: A numerical investigation of curve squeal in the case of constant wheel/rail friction. J. Sound Vib. 333(18), 4295–4313 (2014)Pieringer, A., Kropp, W.: A time-domain model for coupled vertical and tangential wheel/rail interaction—a contribution to the modelling of curve squeal. In: Maeda, T., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 118, pp. 221–229. Springer, Heidelberg (2012)Pieringer, A., Baeza, L., Kropp. W.: Modelling of railway curve squeal including effects of wheel rotation. In: Nielsen, J.C.O., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 126, pp. 417–424. Springer, Heidelberg (2015)Zenzerovic, I., Pieringer, A., Kropp. W.: Towards an engineering model for curve squeal. In: Nielsen, J.C.O., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 126, pp. 433–440. Springer, Heidelberg (2015)Zenzerovic, I., Kropp, W., Pieringer, A.: An engineering time-domain model for curve squeal: tangential point-contact model and Green’s functions approach. J. Sound Vib. 376, 149–165 (2016)Pieringer, A., Torstensson, P.T., Giner, J., Baeza, L.: Investigation of railway curve squeal using a combination of frequency- and time-domain models. In: Anderson, D., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 139, pp 81–93. Springer, Heidelberg (2018)Chen, G.X., Xiao, J.B., Liu, Q.Y., Zhou. Z.R.: Complex eigenvalue analysis of railway curve squeal. In: Schulte-Werning, B., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 99, pp. 433–439. Springer, Heidelberg (2008)Fourie, D.J., Gräbe, P.J., Heyns, P.S., Fröhling, R.D.: Analysis of wheel squeal due to unsteady longitudinal creepage using the complex eigenvalue method. In: Anderson, D., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 139, pp 55–67. Springer, Heidelberg (2018)Wang, C., Dwight, R., Li, W., Jiang, J.: Prediction on curve squeal in the case of constant wheel rail friction coefficient. In: Anderson, D., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 139, pp XXX–XXX. Springer, Heidelberg (2018)Ding, B., Squicciarini, G., Thompson, D.J.: Effects of rail dynamics and friction characteristics on curve squeal. In: XIII International Conference on Motion and Vibration Control and XII International Conference on Recent Advances in Structural Dynamics (MoViC/RASD), Southampton (2016)Bleedorn, T.G., Johnstone. B.: Steerable steel wheel systems and wheel noise suppression. In: Conference Rec IAS 12th Annual Meeting, Los Angeles, California (1977)Koch, J.R., Vincent, N., Chollet, H., Chiello, O.: Curve squeal of urban rolling stock—part 2: parametric study on a 1/4 scale test rig. J. Sound Vib. 293(3), 701–709 (2006)Logston, C.F., Itami, G.S.: Locomotive friction-creep studies. ASME J. Eng. Ind. 102(3), 275–281 (1980)Ertz, M.: Creep force laws for wheel/rail contact with temperature-dependent coefficient of friction. In: 8th Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Budapest (2002)Lang, W., Roth, R.: Optimale Kraftschlussausnutzung bei Hochleistungs-Schienenfahrzeugen. Eisenbahntechnische Rundsch. 42, 61–66 (1993)Polach, O.: Creep forces in simulations of traction vehicles running on adhesion limit. Wear 258(7), 992–1000 (2005)Zhang, W., Chen, J., Wu, X., Jin, X.: Wheel/rail adhesion and analysis by using full scale roller rig. Wear 253(1), 82–88 (2002)Harrison, H., McCanney, T., Cotter, J.: Recent developments in coefficient of friction measurements at the rail/wheel interface. Wear 253(1), 114–123 (2002)Gallardo-Hernandez, E.A., Lewis, R.: Twin disc assessment of wheel/rail adhesion. Wear 265(9), 1309–1316 (2008)Fletcher, D.I., Lewis, S.: Creep curve measurement to support wear and adhesion modelling, using a continuously variable creep twin disc machine. Wear 298–299, 57–65 (2013)Fletcher, D.I.: A new two-dimensional model of rolling–sliding contact creep curves for a range of lubrication types. Proc. Inst. Mech. Eng. Part J: J. Eng. Tribol. 227(6), 529–537 (2013)Matsumoto, A., Sato, Y., Ono, H., Wang, Y., Yamamoto, M., Tanimoto, M., Oka, Y.: Creep force characteristics between rail and wheel on scaled model. Wear 253(1), 199–203 (2002)Janssens, M.H.A., van Vliet, W.J., Kooijman, P.P., De Beer, F.G.: Curve squeal of railbound vehicles (part 3): measurement method and results. In: Proceedings of Internoise, vol. 3, pp. 1568–1571, Nice, France (2000)Monk-Steel, A.D., Thompson, D.J., De Beer, F.G., Janssens, M.H.A.: An investigation into the influence of longitudinal creepage on railway squeal noise due to lateral creepage. J. Sound Vib. 293(3), 766–776 (2006)Liu, X., Meehan, P.A.: Investigation of the effect of lateral adhesion and rolling speed on wheel squeal noise. Proc. Inst. Mech. Eng. Part F: J. Rail Rapid Transit 227(5), 469–480 (2013)Liu, X., Meehan, P.A.: Investigation of the effect of relative humidity on lateral force in rolling contact and curve squeal. Wear 310(1), 12–19 (2014)Liu, X., Meehan, P.A.: Investigation of squeal noise under positive friction characteristics condition provided by friction modifiers. J. Sound Vib. 371, 393–405 (2016)Jie, E., Kim, J.Y., Hwang, D.H., Lee, J.H., Kim, K.J., Kim, J.C.: An experimental study of squeal noise characteristics for railways using a scale model test rig. In: J. Pombo (ed.) Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance, Cagliari, Sardinia, Italy (2016)Eadie, D.T., Santoro, M., Kalousek, J.: Railway noise and the effect of top of rail liquid friction modifiers: changes in sound and vibration spectral distributions in curves. Wear 258(7), 1148–1155 (2005)Bullen, R., Jiang, J.: Algorithms for detection of rail wheel squeal. In: 20th International Congress on Acoustics 2010, ICA 2010—Incorporating Proceedings of the 2010 Annual Conference of the Australian Acoustical Society. pp. 2212–2216 (2010)Stefanelli, R., Dual, J., Cataldi-Spinola, E.: Acoustic modelling of railway wheels and acoustic measurements to determine involved eigenmodes in the curve squealing phenomenon. Veh. Syst. Dyn. 44(sup1), 286–295 (2006)Vincent, N., Koch, J.R., Chollet, H., Guerder, J.Y.: Curve squeal of urban rolling stock—part 1: state of the art and field measurements. J. Sound Vib. 293(3), 691–700 (2006)Anderson, D., Wheatley, N.: Mitigation of wheel squeal and flanging noise on the Australian network. In: Schulte-Werning, B., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 99, pp. 399–405. Springer, Heidelberg (2008)Curley, D., Anderson, D.C., Jiang, J., Hanson, D.: Field trials of gauge face lubrication and top-of-rail friction modification for curve noise mitigation. In: Nielsen, J.C.O., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 126, pp. 449–456. Springer, Heidelberg (2015)Jiang, J., Hanson, D., Dowdell, B.: Wheel squeal—insights from wayside condition monitoring measurements and field trials. In: Anderson, D., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 139, pp 41–53. Springer, Heidelberg (2018)Jiang, J., Dwight, R., Anderson, D.: Field verification of curving noise mechanisms. In: Maeda, T., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 118, pp. 349–356. Springer, Heidelberg (2012)Jiang, J., Anderson, D.C., Dwight, R.: The mechanisms of curve squeal. In: Nielsen, J.C.O., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 126, pp. 587–594. Springer, Heidelberg (2015)Fourie, D.J., Gräbe, P.J., Heyns, P.S., Fröhling, R.D.: Experimental characterisation of railway wheel squeal occurring in large-radius curves. Proc. Inst. Mech. Eng. Part F: J. Rail Rapid Transit 230(6), 1561–1574 (2016)Corradi, R., Crosio, P., Manzoni, S., Squicciarini, G.: Experimental investigation on squeal noise in tramway sharp curves. In: Proceedings of the 8th International Conference on Structural Dynamics, EURODYN 2011, Leuven (2011)Merideno, I., Nieto, J., Gil-Negrete, N., Landaberea, A., Iartza, J.: Constrained layer damper modelling and performance evaluation for eliminating squeal noise in trams. Shock and Vibration (2014)Nelson J.T.: Wheel/rail noise control manual, TCRP Report 23 (1997)Krüger, F.: Schall- und Erschütterungsschutz im Schienenverkehr. Expert Verlag, Renningen (2001)Elbers, F., Verheijen, E.: Railway noise technical measures catalogue, UIC report UIC003-01-04fe (2013)Oertli, J.: Combatting curve squeal, phase II, final report, UIC (2005)Eadie, D.T., Santoro, M., Powell, W.: Local control of noise and vibration with KELTRACK™ friction modifier and protector® trackside application: an integrated solution. J. Sound Vib. 267(3), 761–772 (2003)Eadie, D.T., Santoro, M.: Top-of-rail friction control for curve noise mitigation and corrugation rate reduction. J. Sound Vib. 293(3), 747–757 (2006)Suda, Y., Iwasa, T., Komine, H., Tomeoka, M., Nakazawa, H., Matsumoto, K., Nakai, T., Tanimoto, M., Kishimoto, Y.: Development of onboard friction control. Wear 258(7), 1109–1114 (2005)Bühler, S., Thallemer, B.: How to avoid squeal noise on railways: state of the art and practical experience. In: Schulte-Werning, B., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 99, pp. 406–411. Springer, Heidelberg (2008)Jones, C.J.C., Thompson, D.J.: Rolling noise generated by railway wheels with visco-elastic layers. J. Sound Vib. 231(3), 779–790 (2000)Wetta, P., Demilly, F.: Reduction of wheel squeal noise generated on curves or during braking. In 11th International of Wheelset Congress, Paris (1995)Brunel, J.F., Dufrénoy, P., Demilly, F.: Modelling of squeal noise attenuation of ring damped wheels. Appl. Acoust. 65(5), 457–471 (2004)Marjani, S.R., Younesian, D.: Suppression of train wheel squeal noise by shunted piezoelectric elements. Int. J. Struct. Stab. Dyn. (2016)Heckl, M.A., Huang, X.Y.: Curve squeal of train wheels, part 3: active control. J. Sound Vib. 229(3), 709–735 (2000)Thompson, D.J., Jones, C.J.C., Waters, T.P., Farrington, D.: A tuned damping device for reducing noise from railway track. Appl. Acoust. 68(1), 43–57 (2007)Jiang, J., Ying, I., Hanson, D., Anderson, D.C.: An investigation of the influence of track dynamics on curve noise. In: Nielsen, J.C.O., et al. (eds.) Noise and Vibration Mitigation for Rail Transportation Systems. NNFM, vol. 126, pp. 441–448. Springer, Heidelberg (2015)Toward, M., Squicciarini, G., Thompson, D.J.: Reducing freight wagon noise at source. Int. Railway J. March, 47–49 (2015)Illingworth, R., Pollard, M.G.: The use of steering axle suspensions to reduce wheel and rail wear in curves. Proc. Inst. Mech. Eng. 196(1), 379–385 (1982)Garcia, J.F., Olaizola, X., Martin, L.M., Gimenez, J.G.: Theoretical comparison between different configurations of radial and conventional bogies. Veh. Syst. Dyn. 33(4), 233–259 (2000)Bruni, S., Goodall, R., Mei, T.X., Tsunashima, H.: Control and monitoring for railway vehicle dynamics. Veh. Syst. Dyn. 45(7–8), 743–779 (2007)Hiensch, M., Larsson, P.O., Nilsson, O., Levy, D., Kapoor, A., Franklin, F., Nielsen, J., Ringsberg, J., Josefson, L.: Two-material rail development: field test results regarding rolling contact fatigue and squeal noise behaviour. Wear 258(7), 964–972 (2005)Kopp, E.: Fünf Jahre Erfahrungen mit asymmetrisch geschliffenen Schienenprofilen. Eisenbahn Techn. Rundsch. 40, 665 (1991

    Measurements of differential cross-sections in top-quark pair events with a high transverse momentum top quark and limits on beyond the Standard Model contributions to top-quark pair production with the ATLAS detector at √s = 13 TeV

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    Cross-section measurements of top-quark pair production where the hadronically decaying top quark has transverse momentum greater than 355 GeV and the other top quark decays into ℓνb are presented using 139 fb−1 of data collected by the ATLAS experiment during proton-proton collisions at the LHC. The fiducial cross-section at s = 13 TeV is measured to be σ = 1.267 ± 0.005 ± 0.053 pb, where the uncertainties reflect the limited number of data events and the systematic uncertainties, giving a total uncertainty of 4.2%. The cross-section is measured differentially as a function of variables characterising the tt¯ system and additional radiation in the events. The results are compared with various Monte Carlo generators, including comparisons where the generators are reweighted to match a parton-level calculation at next-to-next-to-leading order. The reweighting improves the agreement between data and theory. The measured distribution of the top-quark transverse momentum is used to search for new physics in the context of the effective field theory framework. No significant deviation from the Standard Model is observed and limits are set on the Wilson coefficients of the dimension-six operators OtG and Otq(8), where the limits on the latter are the most stringent to date. [Figure not available: see fulltext.]

    Measurement of the energy asymmetry in t(t)over-barj production at 13 TeV with the ATLAS experiment and interpretation in the SMEFT framework

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    A measurement of the energy asymmetry in jet-associated top-quark pair production is presented using 139fb1139\,{\mathrm {fb}}^{-1} 139 fb - 1 of data collected by the ATLAS detector at the Large Hadron Collider during pp collisions at s=13TeV\sqrt{s}=13\,\text {TeV} s = 13 TeV . The observable measures the different probability of top and antitop quarks to have the higher energy as a function of the jet scattering angle with respect to the beam axis. The energy asymmetry is measured in the semileptonic ttˉt{\bar{t}} t t ¯ decay channel, and the hadronically decaying top quark must have transverse momentum above 350GeV350\,\text {GeV} 350 GeV . The results are corrected for detector effects to particle level in three bins of the scattering angle of the associated jet. The measurement agrees with the SM prediction at next-to-leading-order accuracy in quantum chromodynamics in all three bins. In the bin with the largest expected asymmetry, where the jet is emitted perpendicular to the beam, the energy asymmetry is measured to be 0.043±0.020-0.043\pm 0.020 - 0.043 ± 0.020 , in agreement with the SM prediction of 0.037±0.003-0.037\pm 0.003 - 0.037 ± 0.003 . Interpreting this result in the framework of the Standard Model effective field theory (SMEFT), it is shown that the energy asymmetry is sensitive to the top-quark chirality in four-quark operators and is therefore a valuable new observable in global SMEFT fits

    Modelling and computational improvements to the simulation of single vector-boson plus jet processes for the ATLAS experiment

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    This paper presents updated Monte Carlo configurations used to model the production of single electroweak vector bosons (W, Z/gamma*) in association with jets in proton-proton collisions for the ATLAS experiment at the Large Hadron Collider. Improvements pertaining to the electroweak input scheme, parton-shower splitting kernels and scale-setting scheme are shown for multi-jet merged configurations accurate to next-to-leading order in the strong and electroweak couplings. The computational resources required for these set-ups are assessed, and approximations are introduced resulting in a factor three reduction of the per-event CPU time without affecting the physics modelling performance. Continuous statistical enhancement techniques are introduced by ATLAS in order to populate low cross-section regions of phase space and are shown to match or exceed the generated effective luminosity. This, together with the lower per-event CPU time, results in a 50% reduction in the required computing resources compared to a legacy set-up previously used by the ATLAS collaboration. The set-ups described in this paper will be used for future ATLAS analyses and lay the foundation for the next generation of Monte Carlo predictions for single vector-boson plus jets production

    Measurements of Higgs bosons decaying to bottom quarks from vector boson fusion production with the ATLAS experiment at √=13TeV

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    The paper presents a measurement of the Standard Model Higgs Boson decaying to b-quark pairs in the vector boson fusion (VBF) production mode. A sample corresponding to 126 fb−1 of s√=13TeV proton–proton collision data, collected with the ATLAS experiment at the Large Hadron Collider, is analyzed utilizing an adversarial neural network for event classification. The signal strength, defined as the ratio of the measured signal yield to that predicted by the Standard Model for VBF Higgs production, is measured to be 0.95+0.38−0.36 , corresponding to an observed (expected) significance of 2.6 (2.8) standard deviations from the background only hypothesis. The results are additionally combined with an analysis of Higgs bosons decaying to b-quarks, produced via VBF in association with a photon

    Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at \sqrt{s}=13 TeV

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    This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 \hbox {fb}^{-1} of pp collision data at \sqrt{s}=13 TeV collected between 2015 and 2018 during Run 2 of the LHC. The increased instantaneous luminosity delivered by the LHC over this period required a reoptimisation of the criteria for the identification of prompt muons. Improved and newly developed algorithms were deployed to preserve high muon identification efficiency with a low misidentification rate and good momentum resolution. The availability of large samples of Z\rightarrow \mu \mu and J/\psi \rightarrow \mu \mu decays, and the minimisation of systematic uncertainties, allows the efficiencies of criteria for muon identification, primary vertex association, and isolation to be measured with an accuracy at the per-mille level in the bulk of the phase space, and up to the percent level in complex kinematic configurations. Excellent performance is achieved over a range of transverse momenta from 3 GeV to several hundred GeV, and across the full muon detector acceptance of |\eta |<2.7

    Determination of the parton distribution functions of the proton using diverse ATLAS data from pp collisions at √s = 7, 8 and 13 TeV

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    This paper presents an analysis at next-to-next-to-leading order in the theory of quantum chromodynamics for the determination of a new set of proton parton distribution functions using diverse measurements in pp collisions at \sqrt{s} = 7, 8 and 13 TeV, performed by the ATLAS experiment at the Large Hadron Collider, together with deep inelastic scattering data from ep collisions at the HERA collider. The ATLAS data sets considered are differential cross-section measurements of inclusive W^{±} and Z/gamma^{*} boson production, W^{±} and Z boson production in association with jets, t\bar{t} production, inclusive jet production and direct photon production. In the analysis, particular attention is paid to the correlation of systematic uncertainties within and between the various ATLAS data sets and to the impact of model, theoretical and parameterisation uncertainties. The resulting set of parton distribution functions is called ATLASpdf21

    Corrigendum to "Search for flavour-changing neutral-current couplings between the top quark and the photon with the ATLAS detector at √s=13 TeV" (Physics Letters B, 842 (2023), 137379)

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    Constraints on Higgs boson production with large transverse momentum using H \rightarrow b\bar{b} decays in the ATLAS detector

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    This paper reports constraints on Higgs boson production with transverse momentum above 1 TeV. The analyzed data from proton–proton collisions at a center-of-mass energy of 13 TeV were recorded with the ATLAS detector at the Large Hadron Collider from 2015 to 2018 and correspond to an integrated luminosity of 136fb^{-1}. Higgs bosons decaying into b\bar{b} are reconstructed as single large-radius jets recoiling against a hadronic system and are identified by the experimental signature of two b-hadron decays. The experimental techniques are validated in the same kinematic regime using the Z \rightarrow b\bar{b} process. The 95% confidence-level upper limit on the cross section for Higgs boson production with transverse momentum above 450 GeV is 115 fb, and above 1 TeV it is 9.6 fb. The Standard Model cross section predictions for a Higgs boson with a mass of 125 GeV in the same kinematic regions are 18.4 fb and 0.13 fb, respectively
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