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Modelling the Data at the LHC

Measurements at hadron colliders rely on large scale quantum chromodynamics (QCD) Monte Carlo (MC) production for interpretation of the data. MC simulations allow testing Standard Model (SM) with more accurate and precise calculations to understand perturbative QCD as well as electroweak effects, an...

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Autor principal: Yazgan, Efe
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.22323/1.380.0410
http://cds.cern.ch/record/2783502
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author Yazgan, Efe
author_facet Yazgan, Efe
author_sort Yazgan, Efe
collection CERN
description Measurements at hadron colliders rely on large scale quantum chromodynamics (QCD) Monte Carlo (MC) production for interpretation of the data. MC simulations allow testing Standard Model (SM) with more accurate and precise calculations to understand perturbative QCD as well as electroweak effects, and extrapolations of the irreducible backgrounds to signal phase-space regions for new physics searches or for the measurements of rare SM processes. In the MC codes, there are many pieces, approximations, and parameters and settings to compare to the data and tune. Precise experimental measurements at the LHC require similar level of precision in theoretical calculations. Cross sections measured at the LHC both by ATLAS and CMS experiments cover more than 14 orders of magnitude. So far, SM cross section predictions are found to be in very good agreement with the data. These cross sections are measured at different pp collision energies and compared to prediction up to next-to-next-to-leading order (NNLO) for many processes, and recently up to N$^3$LO for some of them. In this note, a few measurements relevant to data modelling are discussed.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2021
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spelling cern-27835022023-01-31T09:09:13Zdoi:10.22323/1.380.0410http://cds.cern.ch/record/2783502engYazgan, EfeModelling the Data at the LHChep-phParticle Physics - Phenomenologyhep-exParticle Physics - ExperimentMeasurements at hadron colliders rely on large scale quantum chromodynamics (QCD) Monte Carlo (MC) production for interpretation of the data. MC simulations allow testing Standard Model (SM) with more accurate and precise calculations to understand perturbative QCD as well as electroweak effects, and extrapolations of the irreducible backgrounds to signal phase-space regions for new physics searches or for the measurements of rare SM processes. In the MC codes, there are many pieces, approximations, and parameters and settings to compare to the data and tune. Precise experimental measurements at the LHC require similar level of precision in theoretical calculations. Cross sections measured at the LHC both by ATLAS and CMS experiments cover more than 14 orders of magnitude. So far, SM cross section predictions are found to be in very good agreement with the data. These cross sections are measured at different pp collision energies and compared to prediction up to next-to-next-to-leading order (NNLO) for many processes, and recently up to N$^3$LO for some of them. In this note, a few measurements relevant to data modelling are discussed.Measurements at hadron colliders rely on large scale quantum chromodynamics (QCD) Monte Carlo (MC) production for interpretation of the data. MC simulations allow testing Standard Model (SM) with more accurate and precise calculations to understand perturbative QCD as well as electroweak effects. They also allow extrapolations of the irreducible backgrounds to signal phase-space regions for new physics searches, and for the measurements of rare SM processes. In the MC codes, there are many pieces, approximations, and parameters and settings to compare to the data and tune. Precise experimental measurements at the LHC require similar level of precision in theoretical calculations. Cross sections measured at the LHC both by ATLAS and CMS experiments cover more than 14 orders of magnitude. So far, SM cross section predictions are found to be in very good agreement with the data. These cross sections are measured at different pp collision energies and compared to prediction up to next-to-next-to-leading order (NNLO) for many processes, and recently up to N$^3$LO for some of them. In this note, a few measurements relevant to data modelling are discussed.arXiv:2110.02599CMS-CR-2021-166oai:cds.cern.ch:27835022021-10-06
spellingShingle hep-ph
Particle Physics - Phenomenology
hep-ex
Particle Physics - Experiment
Yazgan, Efe
Modelling the Data at the LHC
title Modelling the Data at the LHC
title_full Modelling the Data at the LHC
title_fullStr Modelling the Data at the LHC
title_full_unstemmed Modelling the Data at the LHC
title_short Modelling the Data at the LHC
title_sort modelling the data at the lhc
topic hep-ph
Particle Physics - Phenomenology
hep-ex
Particle Physics - Experiment
url https://dx.doi.org/10.22323/1.380.0410
http://cds.cern.ch/record/2783502
work_keys_str_mv AT yazganefe modellingthedataatthelhc