High precision predictions and tools for LHC Physics
The CERN Large Hadron Collider (LHC) has opened a new exciting era in
fundamental Particle Physics, by reaching energies never probed before
in a collider experiment. The data collected in 2010-2013 already led to
an historical...
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Información proyecto PrecisionTools4LHC
Duración del proyecto: 40 meses
Fecha Inicio: 2015-05-06
Fecha Fin: 2018-10-01
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
The CERN Large Hadron Collider (LHC) has opened a new exciting era in
fundamental Particle Physics, by reaching energies never probed before
in a collider experiment. The data collected in 2010-2013 already led to
an historical achievement, the discovery a new-particle with properties
very close to those predicted for the Standard Model Higgs boson. The
pivotal role played by this particle calls for an
extremely accurate study of its properties. Together with the search for
direct signals of New Physics at the ~10 TeV scale, this will be the
major topic of research over the next 20 years, throughout the whole duration of the LHC
experiment.
Especially in absence of striking signature pointing to Physics Beyond
the SM (BSM), the success of this long-term programme relies on the
capability of extracting precise informations from the measured data.
In addition to extraordinarily sophisticated experimental equipment,
accurate theoretical predictions for the sought-after signals and their
known backgrounds are required.
The goal of this research proposal is to push the precision of Monte
Carlo programs needed to interpret LHC measurements to an unprecedented
level. This will be achieved combining several novel techniques
developed in the Monte Carlo community and results obtained in
perturbative QCD. The realization of the specific objectives detailed in
the proposal will allow to model more reliably signal and background
processes relevant to perform a variety of overriding precision studies.
This will permit a more solid interpretation of future measurements and,
in a longer timescale, will also be instrumental in continuing to improve the accuracy
of simulation tools.