Predictions for diphoton production at the LHC through NNLO in QCD
By John M. Campbell, R. Ellis, Ye Li, Ciaran Williams. 2016
135 citations recorded by the source corpus.
A bstractIn this paper we present a next-to-next-to-leading order (NNLO) calculation of the process pp → γγ that we have implemented into the parton level Monte Carlo code MCFM. We do not find agreement with the previous calculation of this process in the literature. In addition to the Oαs2$$ \mathcal{O}\left({\alpha}_s^2\right) $$ corrections present at NNLO, we include some effects arising at Oαs3$$ \mathcal{O}\left({\alpha}_s^3\right) $$, namely those associated with gluon-initiated closed fermion loops. We investigate the role of this process in the context of studies of QCD at colliders and as a background for searches for new physics, paying particular attention to the diphoton invariant mass spectrum. We demonstrate that the NNLO QCD prediction for the shape of this spectrum agrees well with functional forms used in recent data-driven fits.
Subfields: Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/b68bdef4edf0b7c8c360891e2a4116f73d9b5d04
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In Nuclear and High Energy Physics
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- A. Larkoski
- Stefan Kallweit
- S. Höche
- I. Moult
Citations in the corpus
- Collider physics at the precision frontier (2020, unknown): “[145] for NNLO H+jet production in MCFM, or in Ref.”
- Fully differential NNLO computations with MATRIX (2017, background): “The last decade has seen a revolution in the field of NNLO computations: The calculations for associated production of a Higgs boson with a vector boson [13–16], Higgs boson production in bottomquark annihilation [17–20], top-mass effects in Higgs boson production [21–25], HH [26, 27], γγ [28,29], Z”
- Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report (2017, methodology): “Originally computed at N(2)LOQCD with qT subtraction [325], it has recently been recomputed [326] using the N -jettiness subtraction implemented within MCFM.”
- Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning (2017, methodology): “plemented in MCFM for color-singlet production [482, 483, 80].”