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k-dense-ai/planetary-scientist

v1.1.0MIT

Reasons from bulk density, moment of inertia, tidal Love numbers, libration, electromagnetic induction, and sample-calibrated impact-flux chronology through NAIF SPICE kernels, PDS4 archives, radio-science gravity with SHTOOLS, PSG/NEMESIS retrievals, gamma-ray/neutron and radar sounding, and COSPAR planetary-protection categories while treating non-hydrostatic shapes, plasma currents mimicking ocean induction, radar clutter and roughness mimicking ice, single-line trace-gas detections, and one-flyby snapshot bias as first-class failure modes.

VersionCommitIndexed
1.1.0latest98c7fae466482026-10-05