This repository contains the pre-publication manuscript and the complete source code for RASTAMAN (Relativistic All-order Self-consistent Tool for Axial Multicomponent Analysis of Nuclei). The RASTAMAN framework introduces a novel terrestrial anchor for the nuclear equation of state (EoS) by dynamically modeling the 2p 1s isotopic shift in muonic lead (^208Pb - ^206Pb). By integrating this purely electromagnetic probe with pure neutron matter Chiral Effective Field Theory (EFT), NICER mass-radius profiles, and the tidal deformability limits of LIGO GW170817, this joint multi-messenger Bayesian analysis resolves the persistent symmetry energy degeneracy (L-Kₒₘ₌) and bridges the tension between terrestrial hadronic probes (PREX-II, CREX). Key Results: Symmetry Energy Slope: L = 42 8 MeV Symmetry Energy Curvature: Kₒₘ₌ = -65 31 MeV Changelog (Latest Updates) BSM Dark Sector Integration: Added theoryRASTAMAN. py to the core toolkit: A symbolic and numerical bridge that maps macroscopic finite-size screening requirements directly to a U (1) ₁-₋ gauge extension. Implemented automated EFT loop-matching to derive leptonic coupling suppression (y_) from tree-level hadronic couplings (yN). Enabled the direct computation of radiative corrections, validating the numerical consistency between nuclear data and the Seesaw-messenger sector. Repository Contents muonBSMₘanuscript. pdf: The full text of the preliminary manuscript detailing the theoretical framework, systematic uncertainties, and astrophysical synthesis. rastamanₘrsa. py: The primary Python orchestrator. Handles the coupled Dirac-Hartree-Bogoliubov (DIRHB) spatial relaxation, explicit QED potentials, parity-violating weak interactions, and the Macroscopic Sum Rule Approximation (MSRA) for Dynamic Nuclear Polarization (DNP). analyzeRASTAMAN. py: The Gaussian Process emulator and affine-invariant ensemble sampler (emcee) used to generate the joint posterior distributions. rastamanₘsraₚroduction. csv: The raw data outputs from the systematic functional sweep (DD-ME-L parameterizations). ModifiedDIRHB/: The FORTRAN mathematical engine. Citation This repository establishes the muonic EoS constraint methodology and the resulting L and Kₒₘ₌ values prior to formal journal and arXiv publication. If you utilize the RASTAMAN codebase or the preliminary data contained in this repository for your own research, you are required to cite this Zenodo record: Rampair, A. (2026). RASTAMAN Framework & Preprint: Constraining the Nuclear Equation of State with Muonic X-ray Spectroscopy Software & Preprint. Zenodo. https: //doi. org/10. 5281/zenodo. 20126662 System Requirements & Usage RASTAMAN requires a Unix-like environment (Linux, macOS, or Windows Subsystem for Linux) to compile the underlying FORTRAN core. Navigate to the ModifiedDIRHB/dirhbz directory. Compile the core using a standard FORTRAN compiler (e. g. , make). Execute the Python orchestrator: python3 rastamanₘrsa. py. The script will automatically resolve the portable directory structure and execute the self-consistent loop. License and Third-Party Components Software: The RASTAMAN Python architecture is released under the GNU General Public License v3. 0 or later (GPL-3. 0-or-later). Preprint: The manuscript PDF is released under the Creative Commons Attribution 4. 0 International (CC BY 4. 0) license. Third-Party Code: This package includes modifications of the DIRHB nuclear structure package (T. Nikšić et al. , Comput. Phys. Commun. 185, 1808, 2014) and the DIRHBspeedup optimization (A. Bjelčić et al. , 2021). These specific FORTRAN components are redistributed under the CPC Program Library License for non-commercial research use.
Aidan Rampair (Mon,) studied this question.