Author: T. Andrew Manning

  • Thermodynamics of an updated hadronic resonance list and influence on hadronic transport

    Thermodynamics of an updated hadronic resonance list and influence on hadronic transport

    Submitted to arXiv on Sep 4 2023

    Title

    Thermodynamics of an updated hadronic resonance list and influence on hadronic transport

    Authors

    Jordi Salinas San Martín, Renan Hirayama, Jan Hammelmann, Jamie M. Karthein, Paolo Parotto, Jacquelyn Noronha-Hostler, Claudia Ratti, Hannah Elfner

    Abstract

    Hadron lists based on experimental studies summarized by the Particle Data Group (PDG) are a crucial input for the equation of state and thermal models used in the study of strongly-interacting matter produced in heavy-ion collisions. Modeling of these strongly-interacting systems is carried out via hydrodynamical simulations, which are followed by hadronic transport codes that also require a hadronic list as input. To remain consistent throughout the different stages of modeling of a heavy-ion collision, the same hadron list with its corresponding decays must be used at each step. It has been shown that even the most uncertain states listed in the PDG from 2016 are required to reproduce partial pressures and susceptibilities from Lattice Quantum Chromodynamics with the hadronic list known as the PDG2016+. Here, we update the hadronic list for use in heavy-ion collision modeling by including the latest experimental information for all states listed in the Particle Data Booklet in 2021. We then compare our new list, called PDG2021+, to Lattice Quantum Chromodynamics results and find that it achieves even better agreement with the first principles calculations than the PDG2016+ list. Furthermore, we develop a novel scheme based on intermediate decay channels that allows for only binary decays, such that PDG2021+ will be compatible with the hadronic transport framework SMASH. Finally, we use these results to make comparisons to experimental data and discuss the impact on particle yields and spectra.

    BibTeX

    @article{SalinasSanMartin:2023idj,
        author = "Salinas San Mart\'\i{}n, Jordi and Hirayama, Renan and Hammelmann, Jan and Karthein, Jamie M. and Parotto, Paolo and Noronha-Hostler, Jacquelyn and Ratti, Claudia and Elfner, Hannah",
        title = "{Thermodynamics of an updated hadronic resonance list and influence on hadronic transport}",
        eprint = "2309.01737",
        archivePrefix = "arXiv",
        primaryClass = "nucl-th",
        month = "9",
        year = "2023"
    }

  • Theoretical and Experimental Constraints for the Equation of State of Dense and Hot Matter

    Theoretical and Experimental Constraints for the Equation of State of Dense and Hot Matter

    Published on June 05, 2024

    Title

    Theoretical and Experimental Constraints for the Equation of State of Dense and Hot Matter

    Authors

    Rajesh Kumar, Veronica Dexheimer, Johannes Jahan, Jorge Noronha, Jacquelyn Noronha-Hostler, Claudia Ratti, Nico Yunes, Angel Rodrigo Nava Acuna, Mark Alford, Mahmudul Hasan Anik, Debarati Chatterjee, Katerina Chatziioannou, Hsin-Yu Chen, Alexander Clevinger, Carlos Conde, Nikolas Cruz-Camacho, Travis Dore, Christian Drischler, Hannah Elfner, Reed Essick, David Friedenberg, Suprovo Ghosh, Joaquin Grefa, Roland Haas, Alexander Haber, Jan Hammelmann, Steven Harris, Carl-Johan Haster, Tetsuo Hatsuda, Mauricio Hippert, Renan Hirayama, Jeremy W. Holt, Micheal Kahangirwe, Jamie Karthein, Toru Kojo, Philippe Landry, Zidu Lin, Matthew Luzum, Timothy Andrew Manning, Jordi Salinas San Martin, Cole Miller, Elias Roland Most, Debora Mroczek, Azwinndini Muronga, Nicolas Patino, Jeffrey Peterson, Christopher Plumberg, Damien Price, Constanca Providencia, Romulo Rougemont, Satyajit Roy, Hitansh Shah, Stuart Shapiro, Andrew W. Steiner, Michael Strickland, Hung Tan, Hajime Togashi, Israel Portillo Vazquez, Pengsheng Wen, Ziyuan Zhang (MUSES Collaboration)

    Abstract

    This review aims at providing an extensive discussion of modern constraints relevant for dense and hot strongly interacting matter. It includes theoretical first-principle results from lattice and perturbative QCD, as well as chiral effective field theory results. From the experimental side, it includes heavy-ion collision and low-energy nuclear physics results, as well as observations from neutron stars and their mergers. The validity of different constraints, concerning specific conditions and ranges of applicability, is also provided

    BibTeX

    @article{MUSES:2023hyz,
        author = "Kumar, Rajesh and others",
        collaboration = "MUSES",
        title = "{Theoretical and experimental constraints for the equation of state of dense and hot matter}",
        eprint = "2303.17021",
        archivePrefix = "arXiv",
        primaryClass = "nucl-th",
        doi = "10.1007/s41114-024-00049-6",
        journal = "Living Rev. Rel.",
        volume = "27",
        number = "1",
        pages = "3",
        year = "2024"
    }

  • 2023 Collaboration Meeting Announcement

    2023 Collaboration Meeting Announcement

    Today Nico Yunes, PI of the NSF-funded MUSES project, announced the second annual MUSES collaboration meeting to be held at the University of Illinois Urbana-Champaign in May. We look forward to another productive and fun in-person meeting!

  • Resummed lattice QCD equation of state at finite baryon density: strangeness neutrality and beyond

    Resummed lattice QCD equation of state at finite baryon density: strangeness neutrality and beyond

    Submitted to ArXiV on February 11 2022, Phys.Rev.Lett. 126 (2021) 23, 232001

    Title

    Resummed lattice QCD equation of state at finite baryon density: strangeness neutrality and beyond

    Authors

    Szabolcs Borsanyi, Zoltan Fodor, Jana N. Guenther, Ruben Kara, Paolo Parotto, Attila Pasztor, Claudia Ratti, Kalman K. Szabo

    Abstract

    We calculate a resummed equation of state with lattice QCD simulations at imaginary chemical potentials. This work presents a generalization of the scheme introduced in 2102.06660 to the case of non-zero μS, focusing on the line of strangeness neutrality. We present results up to μB/T≤3.5 on the strangeness neutral line ⟨S⟩=0 in the temperature range 130\ MeV≤T≤280~MeV. We also extrapolate the finite baryon density equation of state to small non-zero values of the strangeness-to-baryon ratio R=⟨S⟩/⟨B⟩. We perform a continuum extrapolation using lattice simulations of the 4stout-improved staggered action with 8, 10, 12 and 16 timeslices.

    BibTeX

    @article{Borsanyi:2021sxv,
        author = "Bors\'anyi, S. and Fodor, Z. and Guenther, J. N. and Kara, R. and Katz, S. D. and Parotto, P. and P\'asztor, A. and Ratti, C. and Szab\'o, K. K.",
        title = "{Lattice QCD equation of state at finite chemical potential from an alternative expansion scheme}",
        eprint = "2102.06660",
        archivePrefix = "arXiv",
        primaryClass = "hep-lat",
        doi = "10.1103/PhysRevLett.126.232001",
        journal = "Phys. Rev. Lett.",
        volume = "126",
        number = "23",
        pages = "232001",
        year = "2021"
    }
    

  • Jupyter + MUSES = Science

    Jupyter + MUSES = Science

    We are excited to announce the launch of our own JupyterHub. Jupyter notebooks have become an essential tool for researchers across many fields in science. Scientific simulations, analyses, and calculations of all varieties are becoming increasingly computationally intensive. Our JupyterHub system will embed scientists in the computing resources they need.

    What is JupyterHub?

    JupyterHub brings the power of notebooks to groups of users. It gives users access to computational environments and resources without burdening the users with installation and maintenance tasks. Users – including students, researchers, and data scientists – can get their work done in their own workspaces on shared resources which can be managed efficiently by system administrators.

    JupyterHub runs in the cloud or on your own hardware, and makes it possible to serve a pre-configured data science environment to any user in the world. It is customizable and scalable, and is suitable for small and large teams, academic courses, and large-scale infrastructure.

    Your web-based IDE for MUSES

    Installing modern software libraries can be a hassle due to the conflicting versions of dependencies that often exist between packages from different research projects. Installing code on your local machine often forces you to adopt sophisticated systems of virtual environments or containerization that saps precious time from your actual research. And as nearly all data scientists know firsthand, the process of compiling code you need can be a frustrating experience that can be a barrier to your productivity.

    Your MUSES JupyterLab software environment is already customized and optimized to run the libraries needed by researchers. Combined with the robust feature set of the latest JupyterLab version, which includes shell terminals and code editors with modern features like syntax highlighting and tab-completion, the advantages of using this web-based integrated development environment (IDE) are compelling.

    The JuptyterHub advantage

    Each user gets their own dedicated JupyterLab server.

    Authentication and authorization are provided by our unified Keycloak+CILogon system. Your server is like your own little virtual machine.

    Share your files and collaborate on notebooks.

    A shared volume is mounted to each JupyterLab server, allowing you to seamlessly share files with other researchers.

    Leverage cloud computing to keep your code online when you are offline.

    Launch intense computational tasks that run on our high-performance hardware and come back when your results are ready. Your server stays online and your notebooks continue to run even when you close your web browser.

    What’s next?

    While our JupyterHub system is operational today, we have some more work to do in customizing the JupyterLab server to optimize the performance and configuration of packages for the MUSES project.

    Questions remain about how best to balance our Kubernetes cluster resources amongst a set of JupyterLab servers running in parallel, each consuming memory and processing power that is also needed by the other data services.

    If you are interested in working with us to improve this cutting-edge research platform, connect with us!

  • MUSES Begins!

    MUSES Begins!

    The MUSES project officially begins today. We have hit the ground running, with a suite of services designed to enable the collaboration to do their work efficiently and enjoyably. Conversations are underway to organize source code repositories, begin the work of designing the software architecture for equation of state solver code modules, and establish academic engagement activities such as a MUSES seminar series.