×

Automation of the matrix element reweighting method. (English) Zbl 1294.81311

Summary: Matrix element reweighting is a powerful experimental technique widely employed to maximize the amount of information that can be extracted from a collider data set. We present a procedure that allows to automatically evaluate the weights for any process of interest in the standard model and beyond. Given the initial, intermediate and final state particles, and the transfer functions for the final physics objects, such as leptons, jets, missing transverse energy, our algorithm creates a phase-space mapping designed to efficiently perform the integration of the squared matrix element and the transfer functions. The implementation builds up on MadGraph, it is completely automatized and publicly available. A few sample applications are presented that show the capabilities of the code and illustrate the possibilities for new studies that such an approach opens up.

MSC:

81V22 Unified quantum theories
81T60 Supersymmetric field theories in quantum mechanics
81T80 Simulation and numerical modelling (quantum field theory) (MSC2010)
81-08 Computational methods for problems pertaining to quantum theory
PDFBibTeX XMLCite
Full Text: DOI arXiv

References:

[1] C.G. Lester and D.J. Summers, Measuring masses of semiinvisibly decaying particles pair produced at hadron colliders, Phys. Lett.B 463 (1999) 99 [hep-ph/9906349] [SPIRES].
[2] A. Barr, C. Lester and P. Stephens, mT2: the truth behind the glamour, J. Phys.G 29 (2003) 2343 [hep-ph/0304226] [SPIRES].
[3] A.J. Barr and C.G. Lester, A review of the mass measurement techniques proposed for the Large Hadron Collider, J. Phys.G 37 (2010) 123001 [arXiv:1004.2732] [SPIRES].
[4] K. Kondo, Dynamical likelihood method for reconstruction of events with missing momentum. 1: method and toy models events with missing momentum, J. Phys. Soc. Jap.57 (1988) 4126.
[5] K. Kondo, Dynamical likelihood method for reconstruction of events with missing momentum. 2: mass spectra for 2 → 2 processes, J. Phys. Soc. Jap.60 (1991) 836.
[6] K. Kondo, T. Chikamatsu and S.H. Kim, Dynamical likelihood method for reconstruction of events with missing momentum. 3: analysis of a CDF high pTeμ event as \(t\bar{t}\) production, J. Phys. Soc. Jap.62 (1993) 1177.
[7] R.H. Dalitz and G.R. Goldstein, The decay and polarization properties of the top quark, Phys. Rev.D 45 (1992) 1531 [SPIRES].
[8] R.H. Dalitz and G.R. Goldstein, Analysis of top-antitop production and dilepton decay events and the top quark mass, Phys. Lett.B 287 (1992) 225 [SPIRES].
[9] G.R. Goldstein, K. Sliwa and R.H. Dalitz, On observing top quark production at the Tevatron, Phys. Rev.D 47 (1993) 967 [hep-ph/9205246] [SPIRES].
[10] R.H. Dalitz and G.R. Goldstein, Where is top?, Int. J. Mod. Phys.A9 (1994) 635 [hep-ph/9308345] [SPIRES].
[11] D0 collaboration, V.M. Abazov et al., A precision measurement of the mass of the top quark, Nature429 (2004) 638 [hep-ex/0406031] [SPIRES].
[12] D0 collaboration, V.M. Abazov et al., Measurement of the top quark mass in the lepton + jets final state with the matrix element method, Phys. Rev.D 74 (2006) 092005 [hep-ex/0609053] [SPIRES].
[13] CDF collaboration, A. Abulencia et al., Precise measurement of the top quark mass in the lepton+jets topology at CDF II, Phys. Rev. Lett.99 (2007) 182002 [hep-ex/0703045] [SPIRES].
[14] CDF-Run II collaboration, A. Abulencia et al., Precision measurement of the top quark mass from dilepton events at CDF II, Phys. Rev.D 75 (2007) 031105 [hep-ex/0612060] [SPIRES].
[15] D0 collaboration, V.M. Abazov et al., Measurement of the top quark mass in the dilepton channel, Phys. Lett.B 655 (2007) 7 [hep-ex/0609056] [SPIRES].
[16] CDF collaboration, T. Aaltonen et al., First observation of electroweak single top quark production, Phys. Rev. Lett.103 (2009) 092002 [arXiv:0903.0885] [SPIRES].
[17] D0 collaboration, V.M. Abazov et al., Observation of single top-quark production, Phys. Rev. Lett.103 (2009) 092001 [arXiv:0903.0850] [SPIRES].
[18] CDF and D0 collaboration, Combined CDF and D0 upper limits on standard model Higgs-boson production with up to 4.2 fb−1of data, arXiv:0903.4001 [SPIRES].
[19] CDF and D0 collaboration, Combined CDF and D0 upper limits on standard model Higgs-boson production with up to 6.7 fb−1of data, arXiv:1007.4587 [SPIRES].
[20] E. Byckling and K. Kajantie, Reductions of the phase-space integral in terms of simpler processes, Phys. Rev.187 (1969) 2008 [SPIRES].
[21] R. Kleiss and R. Pittau, Weight optimization in multichannel Monte Carlo, Comput. Phys. Commun.83 (1994) 141 [hep-ph/9405257] [SPIRES].
[22] F. Maltoni and T. Stelzer, MadEvent: automatic event generation with MadGraph, JHEP02 (2003) 027 [hep-ph/0208156] [SPIRES].
[23] G.P. Lepage, VEGAS: an adaptive multidimensional integration program, CLNS-80/447.
[24] D0 collaboration, V.M. Abazov et al., Helicity of the W boson in lepton + jets \(t\bar{t}\) events, Phys. Lett.B 617 (2005) 1 [hep-ex/0404040] [SPIRES].
[25] J. Alwall et al., MadGraph/MadEvent v4: the new web generation, JHEP09 (2007) 028 [arXiv:0706.2334] [SPIRES].
[26] T. Sjöstrand, S. Mrenna and P.Z. Skands, PYTHIA 6.4 physics and manual, JHEP05 (2006) 026 [hep-ph/0603175] [SPIRES]. · Zbl 1368.81015
[27] J. Conway, Pretty Good Simulator, http://www.physics.ucdavis.edu/˜conway/research/software/pgs/pgs.html.
[28] S. Catani, Y.L. Dokshitzer, M.H. Seymour and B.R. Webber, Longitudinally invariant Ktclustering algorithms for hadron hadron collisions, Nucl. Phys.B 406 (1993) 187 [SPIRES].
[29] S.D. Ellis and D.E. Soper, Successive combination jet algorithm for hadron collisions, Phys. Rev.D 48 (1993) 3160 [hep-ph/9305266] [SPIRES].
[30] M. Cacciari and G.P. Salam, Dispelling the N3myth for the ktjet-finder, Phys. Lett.B 641 (2006) 57 [hep-ph/0512210] [SPIRES].
[31] J. Alwall, A. Freitas and O. Mattelaer, The matrix element method and QCD radiation, arXiv:1010. 2263 [SPIRES].
[32] K. Cranmer and T. Plehn, Maximum significance at the LHC and Higgs decays to muons, Eur. Phys. J.C 51 (2007) 415 [hep-ph/0605268] [SPIRES].
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.