Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches
Nicotra G (2023)
Bielefeld: Universität Bielefeld.
Bielefelder E-Dissertation | Englisch
Download
Guido_Nicotra-Dissertation.pdf
9.10 MB
Autor*in
Gutachter*in / Betreuer*in
Jahr
2023
Seite(n)
140
Urheberrecht / Lizenzen
Page URI
https://pub.uni-bielefeld.de/record/2983533
Zitieren
Nicotra G. Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches. Bielefeld: Universität Bielefeld; 2023.
Nicotra, G. (2023). Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches. Bielefeld: Universität Bielefeld.
Nicotra, Guido. 2023. Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches. Bielefeld: Universität Bielefeld.
Nicotra, G. (2023). Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches. Bielefeld: Universität Bielefeld.
Nicotra, G., 2023. Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches, Bielefeld: Universität Bielefeld.
G. Nicotra, Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches, Bielefeld: Universität Bielefeld, 2023.
Nicotra, G.: Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches. Universität Bielefeld, Bielefeld (2023).
Nicotra, Guido. Probing the QCD Phase Diagram: A Multi-Method Analysis Using Taylor Expansion, Imaginary Chemical Potential, Factorial Cumulants and Machine Learning Approaches. Bielefeld: Universität Bielefeld, 2023.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Public Domain Dedication (CC0 1.0):
Volltext(e)
Name
Guido_Nicotra-Dissertation.pdf
9.10 MB
Access Level
Open Access
Zuletzt Hochgeladen
2023-10-11T09:01:05Z
MD5 Prüfsumme
b28ba948ae0bad055ab84611364ea0bf