Generate synthetic observational datasets from quantum-geometry signatures for LIGO, EHT, and similar instruments.

This repository provides a script, generate_mock_data.py, which takes:

1. Quantum-geometry signatures
   • signatures.ndjson: one JSON-line per signature:

{ "label": "...", "frequency": <Hz>, "width": <s>, "amplitude": <strain> }

• signatures.am: simple AsciiMath metadata (e.g. theory variant, number of signatures).

1. Instrument specification
   • instrument_spec.am: key-value pairs describing the detector:

InstrumentType: GravitationalWaveDetector
FrequencyRange: [10, 10000] Hz
Sensitivity: 1e-23 m/sqrt(Hz)
SamplingRate: 16384 Hz
BandwidthLimits: [10, 7000] Hz
NoiseModel: AdvancedLIGO

It synthesizes mock detector outputs (noisy sine-wave injections) and writes:

• mock_data.ndjson: one JSON-line per signal:

  {
    "label": "...",
    "sampling_rate": 16384,
    "time_series": [0.0, 1.2e-24, 2.3e-24, …]
  }

• mock_data.am: AsciiMath summary of detector and injection settings.

• Python 3.8+

• numpy

• scipy

• ndjson

Install dependencies:

pip install numpy scipy ndjson

python generate_mock_data.py `
  --signatures signatures.ndjson `
  --signature-meta signatures.am `
  --instrument-spec instrument_spec.am `
  --output-ndjson mock_data.ndjson `
  --output-meta mock_data.am

After running, a line from mock_data.ndjson might be:

{
  "label": "warp-curvature_mode1",
  "sampling_rate": 16384,
  "time_series": [0.0, 1.2e-23, 2.4e-23, …]
}

And mock_data.am could contain:

[ InstrumentType = GravitationalWaveDetector,
  SamplingRate = 16384,
  NoiseModel = AdvancedLIGO,
  InjectionCount = 2 ]