Skip to content
University of Jyväskylä | Thesis search
  • Language
    • Suomi
    • English
University of Jyväskylä | Thesis search
Language
  • Suomi
  • English
Advanced
  • Probing properties of quark-gl...
  • Cite this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
Probing properties of quark-gluon plasma using machine learning

Probing properties of quark-gluon plasma using machine learning

Bibliographic Details
Main Author: Hirvonen, Henry, kirjoittaja
Format: Doctoral dissertation
Language:eng
Published: Jyväskylä : 2024.
Series:JYU dissertations, 818.
Subjects:
kvarkki-gluoniplasma
koneoppiminen
ionit
törmäykset
hydrodynamiikka
relativistiset raskasionitörmäykset
relativistinen virtausmekaniikka
relativistic heavy-ion collisions
quark-gluon plasma
relativistic hydrodynamics
machine learning
väitöskirjat
Online Access:Linkki verkkoaineistoon
  • Description
  • Staff View
Description
Item Description:Artikkeliväitöskirjan yhteenveto-osa ja 5 eripainosta.
Access:Aineisto on vapaasti saatavissa.

Similar Items

  • A Monte Carlo simulation for the elastic energy loss of high-energy partons in a strongly interacting medium
    by: Auvinen, Jussi
    Published: (2012)
  • A Monte Carlo simulation for the elastic energy loss of high-energy partons in a strongly interacting medium
    by: Auvinen, Jussi
    Published: (2012)
  • Application of novel relaxation time approximation for the Boltzmann equation in relativistic fluid dynamics
    by: Piipponen, Mika
    Published: (2024)
  • Simulation of quark-gluon plasma initial states with Monte-Carlo EKRT model
    by: Kuha, Mikko, kirjoittaja
    Published: (2024)
  • Quantifying the transport properties of quark-gluon plasma through measurement of higher harmonic flow and their non-linear response
    by: Parkkila, Jasper kirjoittaja
    Published: (2021)

Search Options

  • Search History
  • Advanced Search
  • New Items

Need Help?

  • Search Tips

Contact

  • University of Jyväskylä
  • Open Science Centre
  • Accessibility report