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2026
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| Online Access: | https://doi.org/10.5281/zenodo.20030305 |
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| author | Tare, Ishan |
| author_facet | Tare, Ishan |
| contents | <h1>ASTRA Core Engine v3.6.0: High-Fidelity Physics & Performance Upgrades</h1> <p>This release marks a major milestone for ASTRA. Following an exhaustive, multi-lens technical audit, <strong>v3.6.0</strong> delivers enterprise-grade stability, zero-tolerance type safety, and mathematically rigorous orbital mechanics.</p> <p>The core engine is now fully verified against a 541-test regression and physics suite, ensuring absolute confidence in conjunction analysis, numerical propagation, and Earth Orientation Parameter (EOP) handling.</p> <h2> Key Highlights & Engine Upgrades</h2> <ul> <li><strong>Production-Verified Numerical Fidelity:</strong> The Cowell numerical propagator and conjunction solvers have passed rigorous verification. All regressions have been eliminated, and high-fidelity physics (up to J6 geopotential and precise drag partials in the State Transition Matrix) are now production-ready.</li> <li><strong>High-Fidelity SRP Shadowing:</strong> Transitioned to the advanced Dual-Cone (<code>_srp_illumination_factor_dual_cone_njit</code>) model for highly accurate Solar Radiation Pressure modeling in HEO/GEO orbits, replacing the planar approximations.</li> <li><strong>Perfected Type Safety & Code Quality:</strong> The entire repository achieves 100% compliance with strict <code>mypy</code> type-checking. All legacy technical debt, unused variables, and <code>flake8</code> warnings have been completely purged from the codebase.</li> <li><strong>Safe Error Boundaries:</strong> A strict audit of the exception handling ensures zero "silent breakages". Expected network anomalies (like Spacebook API rate-limiting or frozen dataclass protections) are handled safely without poisoning the physics engine execution.</li> </ul> <h2> ️ Critical Fixes & Optimizations in v3.6.0</h2> <ul> <li><strong>Spacebook Concurrency Fix:</strong> Resolved a silent caching bug in <code>astra/spacebook.py</code> where background thread timestamps were garbage collected due to a missing global scope declaration. Multi-threaded Space Weather (SW) and EOP fetches are now 100% thread-safe and aggressively cached.</li> <li><strong>Micro-Optimized Propagator:</strong> Removed redundant geometric calculations (like unused <code>r_mag</code> norms in the powered derivative) to shave microseconds off every integration step, compounding into significant performance gains over multi-year propagations.</li> <li><strong>Vectorized Topocentric Algebra:</strong> <code>astra/visibility.py</code> now entirely bypasses expensive Skyfield timescale calculations during the sub-second bisection root-finding loops, relying entirely on optimized vectorized ENU matrix algebra.</li> <li><strong>2D Mapping Efficiency:</strong> Streamlined the Plotly ground track rendering pipeline in <code>astra/plot.py</code> to discard unnecessary Z-axis vectors, improving memory footprint when rendering massive satellite constellations.</li> </ul> <h2> CI/CD & Testing</h2> <ul> <li>541/541 regression tests passing.</li> <li>Automated tests across Python 3.10, 3.11, and 3.12 pipelines.</li> <li>Integrated OIDC Trusted Publishing for seamless PyPI deployments.</li> </ul> <p>ASTRA v3.6.0 is stable, robust, and mathematically pristine. <strong>Green to go.</strong></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20030305 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ASTRA: Autonomous Space Traffic Risk Analyzer Tare, Ishan <h1>ASTRA Core Engine v3.6.0: High-Fidelity Physics & Performance Upgrades</h1> <p>This release marks a major milestone for ASTRA. Following an exhaustive, multi-lens technical audit, <strong>v3.6.0</strong> delivers enterprise-grade stability, zero-tolerance type safety, and mathematically rigorous orbital mechanics.</p> <p>The core engine is now fully verified against a 541-test regression and physics suite, ensuring absolute confidence in conjunction analysis, numerical propagation, and Earth Orientation Parameter (EOP) handling.</p> <h2> Key Highlights & Engine Upgrades</h2> <ul> <li><strong>Production-Verified Numerical Fidelity:</strong> The Cowell numerical propagator and conjunction solvers have passed rigorous verification. All regressions have been eliminated, and high-fidelity physics (up to J6 geopotential and precise drag partials in the State Transition Matrix) are now production-ready.</li> <li><strong>High-Fidelity SRP Shadowing:</strong> Transitioned to the advanced Dual-Cone (<code>_srp_illumination_factor_dual_cone_njit</code>) model for highly accurate Solar Radiation Pressure modeling in HEO/GEO orbits, replacing the planar approximations.</li> <li><strong>Perfected Type Safety & Code Quality:</strong> The entire repository achieves 100% compliance with strict <code>mypy</code> type-checking. All legacy technical debt, unused variables, and <code>flake8</code> warnings have been completely purged from the codebase.</li> <li><strong>Safe Error Boundaries:</strong> A strict audit of the exception handling ensures zero "silent breakages". Expected network anomalies (like Spacebook API rate-limiting or frozen dataclass protections) are handled safely without poisoning the physics engine execution.</li> </ul> <h2> ️ Critical Fixes & Optimizations in v3.6.0</h2> <ul> <li><strong>Spacebook Concurrency Fix:</strong> Resolved a silent caching bug in <code>astra/spacebook.py</code> where background thread timestamps were garbage collected due to a missing global scope declaration. Multi-threaded Space Weather (SW) and EOP fetches are now 100% thread-safe and aggressively cached.</li> <li><strong>Micro-Optimized Propagator:</strong> Removed redundant geometric calculations (like unused <code>r_mag</code> norms in the powered derivative) to shave microseconds off every integration step, compounding into significant performance gains over multi-year propagations.</li> <li><strong>Vectorized Topocentric Algebra:</strong> <code>astra/visibility.py</code> now entirely bypasses expensive Skyfield timescale calculations during the sub-second bisection root-finding loops, relying entirely on optimized vectorized ENU matrix algebra.</li> <li><strong>2D Mapping Efficiency:</strong> Streamlined the Plotly ground track rendering pipeline in <code>astra/plot.py</code> to discard unnecessary Z-axis vectors, improving memory footprint when rendering massive satellite constellations.</li> </ul> <h2> CI/CD & Testing</h2> <ul> <li>541/541 regression tests passing.</li> <li>Automated tests across Python 3.10, 3.11, and 3.12 pipelines.</li> <li>Integrated OIDC Trusted Publishing for seamless PyPI deployments.</li> </ul> <p>ASTRA v3.6.0 is stable, robust, and mathematically pristine. <strong>Green to go.</strong></p> |
| title | ASTRA: Autonomous Space Traffic Risk Analyzer |
| url | https://doi.org/10.5281/zenodo.20030305 |