
During April 2026, work focused on enhancing compact binary simulations in the IAS-Astrophysics/athenak repository, targeting more accurate gravitational-wave predictions and stable long-running runs. Using C++ and leveraging expertise in numerical methods and parallel programming, the developer introduced magnetic field calculations and an EOS interface for binary neutron star and black hole-neutron star systems. Improvements to center-of-mass tracking addressed unequal-mass binaries, refining momentum accounting and simulation stability. Additional robustness was achieved by guarding against negative densities, reducing simulation crashes. Code quality was reinforced through updates to CI and style checks, supporting maintainability and aligning the codebase with scientific computing best practices.
February 2026? Correction: April 2026 monthly summary for IAS-Astrophysics/athenak focusing on compact binary simulations. This period delivered significant enhancements to binary merger modeling, improved numerical robustness, and reinforced code quality, aligning with business goals of more accurate gravitational-wave predictions and stable long-running simulations.
February 2026? Correction: April 2026 monthly summary for IAS-Astrophysics/athenak focusing on compact binary simulations. This period delivered significant enhancements to binary merger modeling, improved numerical robustness, and reinforced code quality, aligning with business goals of more accurate gravitational-wave predictions and stable long-running simulations.

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