Sparse/Noisy Compact-Star Structure Reconstruction¶
- Task ID:
astronomy.white_dwarf_sparse_inference - Domain:
astronomy - Subdomain:
stellar_structure - Status:
final - Benchmark set:
seed42(60tasks) - Tags:
white-dwarf-like,stellar-structure,inverse-problem,sparse-observations,noisy-data,profile-reconstruction,holdout-generalization,ode-integration,compact-star-eos
Runtime and requirements¶
- Estimated time:
10-30minutes - Python:
>=3.11 - Packages:
numpy>=1.26,scipy>=1.11,pandas>=2.0,matplotlib>=3.8 - GPU required:
no - Network required:
no
Public input and output contract¶
Inputs¶
mr_observations.csv(data): Sparse noisy mass-radius observations. Columns: obs_id, mass_solar_obs, radius_km_obs, sigma_mass_solar, sigma_radius_km.profile_fragments.csv(data): Partial noisy internal-profile observations. Columns: fragment_id, target_mass_solar, radius_fraction, density_fraction_obs, enclosed_mass_fraction_obs, sigma_density_fraction, sigma_enclosed_mass_fraction. Some observed fields may be blank.query_targets.json(data): Holdout prediction targets with keys mr_eval_masses_solar, profile_target_masses_solar, and radius_fraction_grid.physics_manifest.json(data): Physical contract for the inverse problem: stable-branch assumptions, units, and noise model.
Outputs¶
analysis.py(code): Agent-written inference and reconstruction pipeline.results/mr_reconstruction.csv(data): Reconstructed stable-branch mass-radius curve with columns mass_solar, radius_km.results/profiles_reconstruction.npz(data): Predicted holdout profiles. Required arrays: density_fraction and enclosed_mass_fraction.results/summary.json(data): Derived diagnostics with keys mass_limit_solar, radius_at_0p6Msun_km, radius_at_1p0Msun_km, radius_at_1p2Msun_km, and radius_at_1p3Msun_km.results/reconstruction_plot.png(figure): Mass-radius reconstruction figure with noisy observations and predicted branch.
Public repository files¶
Formal benchmark task directories in the public repository are metadata-only. Versioned prompts and inputs are distributed through the pinned benchmark dataset.
Provenance¶
This task is included in the current seed42 benchmark set at dataset revision f11a199f71fb4b854ac43a1bf548d5df519141a9.
This page is generated only from files tracked in the public ASI-Bench repository at commit f18382f03faf.
Submission bundles, run logs, private scoring configuration, and private reference answers are not read by this page generator.