MCFM for the Tevatron and the LHC
By John M. Campbell, R. Ellis. 2010
891 citations recorded by the source corpus.
A summary is given of the current status of the next-to-leading order (NLO) parton-level integrator MCFM. Some details are given about the Higgs + 2-jet process and the production and decay of t t ¯ , both of which have recently been added to the code. Using MCFM, comparisons between the Tevatron running at s = 2 TeV and the LHC running at s = 7 TeV are made for standard model process including the production of Higgs bosons. The case for running the Tevatron until 16 fb − 1 are accumulated by both detectors is sketched.
Subfields: Biomedical Engineering, Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/78b49b06d2390311475d6cce8324775b29dfc76f
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Citations in the corpus
- Automated event generation for loop-induced processes (2015, methodology): “We prefix by a star (?) processes which are not readily available in the main public simulation tools MCFM [42], VBFNLO [47] or HPAIR [48].”
- Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012 (2013, methodology): “Table 1 The top pair production rate at past, present and future colliders, calculated with the MCFM code [92].”
- Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning (2017, background): “A variety of fixed-order programs exist, both for hadron colliders, such as MCFM8 [77, 78, 79, 80], NLOJet++ [81, 82, 83, 84, 85], and NNLOJet [86, 87], as well as for e+e− collisions such as EVENT2 [88, 89], EERAD3 [90], and CoLoRFulNNLO [91, 92, 93, 94].”
- N-jettiness subtractions for NNLO QCD calculations (2015, methodology): “These values are at the lower end of τ values plotted in figures 4 and 6, and are mainly limited by the MCFM statistics.”
- HatHor for single top-quark production: Updated predictions and uncertainty estimates for single top-quark production in hadronic collisions (2014, methodology): “In practice, the extraction is however non-trivial due to the complicated structure of one-loop calculations and the fact that this option is not intended by the authors of MCFM.”
- Identification of b-quark jets with the CMS experiment (2012, methodology): “The t-channel single top NLO cross section was calculated to be σt = 64.6+3.4−3.2 pb using MCFM [11, 16–18].”
- Finding physics signals with shower deconstruction (2011, methodology): “We simulate b-tagging of microjets in experiment by using more realistic b-tagging for Pythia events: 1 We generate events for Z + jet → l+l− + jet and HZ → bb̄ l+l− using Pythia in a configuration with large transverse momentum and normalize the cross section to the one obtained from MCFM [37] with”
- Search for the standard model Higgs boson produced in association with a W or a Z boson and decaying to bottom quarks (2013, methodology): “The production cross sections for the diboson and tt samples are rescaled to the cross sections from the next-to-leading-order (NLO) MCFM generator [19], while the cross sections for the W+jets and Z+jets samples are rescaled to next-to-next-to-leading order (NNLO) cross sections calculated using th”
- Measurements of Higgs boson production and couplings in diboson final states with the ATLAS detector at the LHC (2013, positive): “Uncertainties on the modelling of two-jet variables for the ggF process, in particular (cid:12)φ γγ , jj and η ∗ , affect the contribution of ggF events to the high-mass two-jet categories They are estimated by comparing the baseline POWHEG generator with SHERPA and MCFM .”