1,963 research outputs found
Global extraction of the parton-to-pion fragmentation functions at NLO accuracy in QCD
In this review, we discuss the results on the parton-to-pion fragmentation
functions obtained in a combined NLO fit to data of single-inclusive hadron
production in electron-positron annihilation, proton-proton collisions, and
lepton-nucleon deep-inelastic scattering. A more complete discussion can be
found in Ref. [1].Comment: 6 pages, 1 figure. To be published in Journal of Physics Conference
Series (IOP). Joint Proceedings of the XV Mexican Workshop on Particles and
Fields & the XXX Annual Meeting of the Division of Particles and Fields of
the Mexican Physical Societ
A complete O(alpha_S^2) calculation of the signal-background interference for the Higgs diphoton decay channel
We present the full {\cal O}(\as^2) computation of the interference effects
between the Higgs diphoton signal and the continuum background at the LHC.
While the main contribution to the interference originates on the partonic
subprocess, we find that the corrections from the and channels
amount up to 35% of it. We discuss the effect of these new subprocesses in the
shift of the diphoton invariant mass peak recently reported by S. Martin in
Ref.\cite{Martin:2012xc}.Comment: 8 pages, 5 figure
Global extraction of the parton-to-pion fragmentation functions at NLO accuracy in QCD
In this review, we discuss the results on the parton-to-pion fragmentation functions obtained in a combined NLO fit to data of single-inclusive hadron production in electron-positron annihilation, proton-proton collisions, and lepton-nucleon deep-inelastic scattering.Facultad de Ciencias ExactasInstituto de FĂsica La Plat
Global extraction of the parton-to-kaon fragmentation functions at NLO in QCD
In this document, we present the global QCD analysis of parton-to-kaon fragmentation functions at next-to-leading order accuracy using the latest experimental information on single-inclusive kaon production in electron-positron annihilation, lepton-nucleon deep-inelastic scattering, and proton-proton collisions. An extended analysis of this work can be found in Ref. [1].Instituto de FĂsica La Plat
Global extraction of the parton-to-pion fragmentation functions at NLO accuracy in QCD
In this review, we discuss the results on the parton-to-pion fragmentation functions obtained in a combined NLO fit to data of single-inclusive hadron production in electron-positron annihilation, proton-proton collisions, and lepton-nucleon deep-inelastic scattering.Facultad de Ciencias ExactasInstituto de FĂsica La Plat
From five-loop scattering amplitudes to open trees with the Loop-Tree Duality
Characterizing multiloop topologies is an important step towards developing
novel methods at high perturbative orders in quantum field theory. In this
article, we exploit the Loop-Tree Duality (LTD) formalism to analyse multiloop
topologies that appear for the first time at five loops. Explicitly, we open
the loops into connected trees and group them according to their topological
properties. Then, we identify a kernel generator, the so-called NMLT
universal topology, that allow us to describe any scattering amplitude of up to
five loops. Furthermore, we provide factorization and recursion relations that
enable us to write these multiloop topologies in terms of simpler
subtopologies, including several subsets of Feynman diagrams with an arbitrary
number of loops. Our approach takes advantage of many symmetries present in the
graphical description of the original fundamental five-loop topologies. The
results obtained in this article might shed light into a more efficient
determination of higher-order corrections to the running couplings, which are
crucial in the current and future precision physics program.Comment: 14 pages, 6 figures, 2 table
Reconstructing parton collisions with machine learning techniques
Having access to the parton-level kinematics is important for understanding
the internal dynamics of particle collisions. Here, we present new results
aiming to an efficient reconstruction of parton collisions using
machine-learning techniques. By simulating the collider events, we related
experimentally-accessible quantities with the momentum fractions of the
involved partons. We used photon-hadron production to exploit the cleanliness
of the photon signal, including up to NLO QCD-QED corrections. Neural networks
led to an outstanding reconstruction efficiency, suggesting a powerful strategy
for unveiling the behaviour of the fundamental bricks of matter in high-energy
collisions.Comment: 4 pages, 2 figures. Contribution to the Proceedings of the ICHEP 2022
Conferenc
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