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000472341 0247_ $$2arXiv$$aarXiv:2112.05043
000472341 0247_ $$2datacite_doi$$a10.3204/PUBDB-2021-05010
000472341 037__ $$aPUBDB-2021-05010
000472341 041__ $$aEnglish
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000472341 088__ $$2arXiv$$aarXiv:2112.05043
000472341 1001_ $$0D.F.RenteriaEstrada.1$$aRentería-Estrada, David F.$$b0
000472341 245__ $$aReconstructing partonic kinematics at colliders with Machine Learning
000472341 260__ $$c2021
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000472341 500__ $$a37 pages + appendices, 16 figures, 7 tables
000472341 520__ $$aIn the context of high-energy physics, a reliable description of the parton-level kinematics plays a crucial role for understanding the internal structure of hadrons and improving the precision of the calculations. Here, we study the production of one hadron and a direct photon, including up to Next-to-Leading Order Quantum Chromodynamics and Leading-Order Quantum Electrodynamics corrections. Using a code based on Monte-Carlo integration, we simulate the collisions and analyze the events to determine the correlations among measurable and partonic quantities. Then, we use these results to feed three different Machine Learning algorithms that allow us to find the momentum fractions of the partons involved in the process, in terms of suitable combinations of the final state momenta. Our results are compatible with previous findings and suggest a powerful application of Machine-Learning to model high-energy collisions at the partonic-level with high-precision.
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000472341 588__ $$aDataset connected to INSPIRE
000472341 650_7 $$2INSPIRE$$ap p: scattering
000472341 650_7 $$2INSPIRE$$aquantum electrodynamics: correction
000472341 650_7 $$2INSPIRE$$ahadron: structure
000472341 650_7 $$2INSPIRE$$aphoton: direct production
000472341 650_7 $$2INSPIRE$$ahadron: production
000472341 650_7 $$2INSPIRE$$ahigher-order: 1
000472341 650_7 $$2INSPIRE$$ahigher-order: 0
000472341 650_7 $$2INSPIRE$$akinematics
000472341 650_7 $$2INSPIRE$$acorrelation
000472341 650_7 $$2INSPIRE$$aMonte Carlo
000472341 650_7 $$2INSPIRE$$aparton: scattering
000472341 650_7 $$2INSPIRE$$aquantum chromodynamics: correction
000472341 650_7 $$2INSPIRE$$ahard scattering
000472341 650_7 $$2INSPIRE$$acomputer
000472341 650_7 $$2INSPIRE$$adata analysis method
000472341 650_7 $$2INSPIRE$$afactorization: collinear
000472341 650_7 $$2INSPIRE$$aparton: distribution function
000472341 650_7 $$2INSPIRE$$atransverse momentum: momentum spectrum
000472341 650_7 $$2INSPIRE$$amomentum
000472341 693__ $$0EXP:(DE-MLZ)NOSPEC-20140101$$5EXP:(DE-MLZ)NOSPEC-20140101$$eNo specific instrument$$x0
000472341 7001_ $$0R.J.Hernandez.Pinto.1$$aHernández-Pinto, Roger J.$$b1
000472341 7001_ $$0P:(DE-H253)PIP1094299$$aSborlini, German F. R.$$b2$$eCorresponding author
000472341 7001_ $$0M.P.Zurita.1$$aZurita, Pia$$b3
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000472341 9141_ $$y2021
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