Retrieve Negative-Index Bands from Paired-Nanorod Optical Measurements¶
- Task ID:
physics.paired_nanorod_negative_index_retrieval - Domain:
physics - Subdomain:
nanophotonics - Status:
final - Benchmark set:
seed42(60tasks) - Tags:
metamaterials,nanophotonics,plasmonics,negative_index,effective_medium,parameter_retrieval,phase,transfer,hypothesis_testing
Runtime and requirements¶
- Estimated time:
60-120minutes - Python:
>=3.11 - Packages:
numpy>=1.26,pandas>=2.0,matplotlib>=3.8,scipy>=1.11 - GPU required:
no - Network required:
no
Public input and output contract¶
Inputs¶
calibration_samples.csv(data): Calibration-sample metadata including paired-nanorod geometry, substrate flag, spacer thickness, and effective slab thickness.calibration_optics.csv(data): Wavelength-resolved transmission/reflection amplitudes and phases for the calibration samples.heldout_samples.csv(data): Metadata for unseen paired-nanorod samples whose optical response and retrieved bands must be predicted.retrieval_notes.md(text): Observable definitions, sign conventions, output schemas, and allowed candidate mechanism labels.
Outputs¶
analysis.py(code): Agent-authored retrieval and model-selection workflow.results/calibration_retrieval.csv(data): Retrieved effective optical quantities for calibration samples versus wavelength.results/model_comparison.csv(data): Comparison of candidate mechanism families with calibration and validation metrics.results/heldout_prediction.csv(data): Predicted held-out optical observables and retrieved effective quantities versus wavelength.results/negative_index_summary.csv(data): Per-sample summary of negative-index windows and minimum retrieved real refractive index.results/retrieval_diagnostics.png(figure): Diagnostic figure showing representative spectra, retrieval curves, and held-out transfer behavior.results/conclusion.txt(conclusion): Short scientific conclusion stating whether the data support a negative-index band and which compact mechanism family best explains it.
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.