0000000000278439

AUTHOR

Rob Verheyen

showing 2 related works from this author

A comprehensive guide to the physics and usage of PYTHIA 8.3

2022

This manual describes the PYTHIA 8.3 event generator, the most recent version of an evolving physics tool used to answer fundamental questions in particle physics. The program is most often used to generate high-energy-physics collision "events", i.e. sets of particles produced in association with the collision of two incoming high-energy particles, but has several uses beyond that. The guiding philosophy is to produce and reproduce properties of experimentally obtained collisions as accurately as possible. The program includes a wide ranges of reactions within and beyond the Standard Model, and extending to heavy ion physics. Emphasis is put on phenomena where strong interactions play a ma…

showers [parton]numeeriset menetelmätnew physicskäsikirjatFOS: Physical scienceshiukkasfysiikkamanualprogrammingheavy ionHigh Energy Physics - ExperimentMonte Carlo -menetelmätHigh Energy Physics - PhenomenologyHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)PYTHIAquantum chromodynamicsalgoritmitinterfacekvanttiväridynamiikkaohjelmointinumerical calculationsMonte Carlo
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Event generation and statistical sampling for physics with deep generative models and a density information buffer

2021

Simulating nature and in particular processes in particle physics require expensive computations and sometimes would take much longer than scientists can afford. Here, we explore ways to a solution for this problem by investigating recent advances in generative modeling and present a study for the generation of events from a physical process with deep generative models. The simulation of physical processes requires not only the production of physical events, but to also ensure that these events occur with the correct frequencies. We investigate the feasibility of learning the event generation and the frequency of occurrence with several generative machine learning models to produce events l…

Test data generationScienceMonte Carlo methodGeneral Physics and AstronomyFOS: Physical sciences01 natural sciencesCharacterization and analytical techniquesGeneral Biochemistry Genetics and Molecular BiologyArticleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)0103 physical sciencesInformation theory and computationHigh Energy Physics010306 general physicsMultidisciplinary010308 nuclear & particles physicsEvent (computing)QStatisticsData ScienceSampling (statistics)General ChemistryDensity estimationAutoencoderHigh Energy Physics - PhenomenologyPhysics - Data Analysis Statistics and ProbabilityExperimental High Energy PhysicsAnomaly detectionAlgorithmImportance samplingData Analysis Statistics and Probability (physics.data-an)
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