warp-signature-workflow

This repository takes the outputs of the warp-curvature pipeline and produces quantum-geometry signatures, synthetic detector data, and sensitivity comparisons.

Inputs

All inputs live in the root of the repo:

• strong_curvature.ndjson
• strong_curvature.am
• simulation_summary.ndjson
• simulation_summary.am
• instrument_spec.am
• sensitivity_curves.am

Scripts

1. compute_signatures.py

Description:
Loads strong_curvature.ndjson & simulation_summary.ndjson (plus their .am metadata), computes mode frequencies, widths, and amplitudes for each curvature feature.

Outputs:

• signatures.ndjson
• signatures.am

Usage:

python compute_signatures.py `
  --input-json   strong_curvature.ndjson `
  --input-am     strong_curvature.am `
  --summary-json simulation_summary.ndjson `
  --summary-am   simulation_summary.am `
  --output-json  signatures.ndjson `
  --output-am    signatures.am

---

2. generate_mock_data.py

Description:
Reads signatures.ndjson + signatures.am + instrument_spec.am, synthesizes time-series/spectra as a given detector would record for each signature.

Outputs:

• mock_data.ndjson

• mock_data.am

Usage:

python generate_mock_data.py `
  --signatures-json signatures.ndjson `
  --signatures-am   signatures.am `
  --instr-am        instrument_spec.am `
  --output-json     mock_data.ndjson `
  --output-am       mock_data.am

---

3. compare_sensitivity.py

Description:
Ingests mock_data.ndjson + mock_data.am + sensitivity_curves.am, calculates SNR and detectability for each mock signal.

Outputs:

• sensitivity_comparison.ndjson

• sensitivity_comparison.am

Usage:

python compare_sensitivity.py `
  --mock-json  mock_data.ndjson `
  --mock-am    mock_data.am `
  --sens-am    sensitivity_curves.am `
  --output-json sensitivity_comparison.ndjson `
  --output-am   sensitivity_comparison.am