Modular Unified Solver of the Equation of State

NSF // CSSI Framework

image credit: Carl Knox, OzGrav ARC Center of Excellence

WELCOME TO THE MUSES PROJECT

MUSES is an NSF-funded large collaboration project that provides the scientific community novel tools to answer critical interdisciplinary questions in nuclear physics, gravitational wave astrophysics, and heavy-ion physics by developing scientific software modules, deploying web applications to run data processing workflows at scale, and generating scientific data products.

Read the documentation

UPDATED & INTEGRATED

Many of the existing calculation packages have a long and storied history, with unmaintainable code written in programming languages that have fallen from favor. Much of the initial work of MUSES is converting, rewriting, and upgrading these scripts to form the first code modules to be integrated into calculation packages that together will form the core Calculation Engine. Most of the code will be rewritten as high-performance C++ libraries that can be wrapped for use in other languages such as Python as desired.

CLOUD NATIVE & SCALABLE

The MUSES cyberinfrastructure is more than the Calculation Engine. We are building a cloud native deployment system based on the latest container technologies, leveraging the power of Kubernetes to create a reproducible environment compatible with a wide range of hosting platforms. Individuals and organizations can deploy their own MUSES on-premises, utilizing their own backend computing solutions and maintaining full control over their data.

COLLABORATIVE TOOLS & SERVICES

Click here to learn more about DecentCI

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Community Forum

Engage and connect with the MUSES collaboration and growing open source community on our Discourse forum.

Collaboration cloud storage

A dedicated Nextcloud server provides a wealth of collaborative tools, including cloud file storage, group calendars, and many more via installable Nextcloud apps.

JupyterHub

Users can launch dedicated JupyterLab servers, providing a powerful platform to process data using the high-performance computers at NCSA. A custom Universal Worker Service API server provides asynchronous parallel processing via Kubernetes Jobs, with support for NCSA Delta coming soon.