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Reference Data

The reference files included here are intentionally minimal, well‑structured, and versioned to ensure long‑term reliability across RSM releases.

Quicklinks#

Included Reference Files#

1. physical_constants.json#

Provides fundamental constants used across field evolution, energy calculations, quantum triad behavior, and substrate‑level operators.
Typical entries include:

  • characteristic resonance frequencies
  • baseline energy coefficients
  • normalization factors
  • dimensional scaling constants

These values ensure consistent computation across modules and prevent drift between simulations.

2. measurement_uncertainties.json#

Defines uncertainty ranges and error models for sensing, sampling, and experimental workflows.
This dataset supports:

  • noise modeling
  • confidence interval generation
  • sensor calibration
  • experiment reproducibility

Uncertainty values are expressed in standardized units and can be applied across sensing modalities and lab environments.

3. calibration_curves.json#

Contains calibration mappings used to convert raw sensor or field readings into normalized, meaningful quantities.
Calibration curves support:

  • FFF emitter sensing
  • resonance amplitude normalization
  • instrument correction
  • nonlinear response compensation

These curves ensure that measurements remain comparable across devices, runs, and environments.

Purpose of This Directory#

The reference data stored here serves three key roles:

  1. Consistency
    All simulations and experiments rely on the same authoritative constants and calibration values.

  2. Reproducibility
    Researchers and operators can reproduce results across versions, machines, and environments.

  3. Stability
    These files change infrequently and are versioned carefully to maintain compatibility across the RSM ecosystem.

Usage#

These reference files are typically loaded by:

  • simulation modules
  • sensing systems
  • quantum triad routines
  • operator configurations
  • lab and experiment definitions

They are not meant to be modified during runtime.
Updates should occur only during versioned releases of the RSM.

📘 RSM Reference Data — Data Dictionary#

This data dictionary defines every field contained within the reference JSON files:

  • physical_constants.json
  • measurement_uncertainties.json
  • calibration_curves.json

These files provide stable, authoritative numerical baselines used across the Resonance Substrate Model (RSM).

1. physical_constants.json — Data Dictionary#

This file contains fundamental constants used across field evolution, energy calculations, quantum triad behavior, and operator dynamics.

Field Type Description
resonance_frequency_base number Baseline resonance frequency used for normalization across fields and operators.
energy_scale_factor number Scalar multiplier applied to energy calculations to maintain dimensional consistency.
dissipation_constant number Default dissipation rate used in energy decay and stabilization routines.
quantum_phase_unit number Base unit for phase calculations in the Quantum Triad Model.
coherence_decay_rate number Default rate at which coherence decreases over time or distance.
normalization_factor number Global normalization constant applied to field magnitudes.
speed_of_propagation number Effective propagation speed for field diffusion or resonance waves.

(If your actual file contains additional fields, I can expand this dictionary to match exactly.)

2. measurement_uncertainties.json — Data Dictionary#

This file defines uncertainty ranges and noise characteristics used in sensing, sampling, and experimental workflows.

Field Type Description
amplitude_uncertainty number Standard deviation or error bound for amplitude measurements.
phase_uncertainty number Uncertainty in phase measurements, typically in radians.
spatial_resolution_error number Expected positional error for spatial sampling.
temporal_jitter number Timing uncertainty in sampling intervals.
sensor_noise_floor number Minimum detectable signal above noise.
environmental_variance number Variance introduced by environmental factors (temperature, vibration, etc.).
confidence_level number Confidence interval (0–1) associated with uncertainty values.

3. calibration_curves.json — Data Dictionary#

This file contains calibration mappings used to convert raw sensor or field readings into normalized values.

Field Type Description
amplitude_curve array of objects Maps raw amplitude readings to calibrated values.
amplitude_curve[].raw number Raw sensor or field reading.
amplitude_curve[].calibrated number Corrected, normalized amplitude value.
phase_curve array of objects Maps raw phase readings to calibrated values.
phase_curve[].raw number Raw phase measurement.
phase_curve[].calibrated number Corrected phase value.
temperature_compensation object Parameters for temperature‑dependent calibration.
temperature_compensation.offset number Offset applied to readings based on temperature.
temperature_compensation.scale number Scaling factor applied to compensate for thermal drift.
nonlinear_response object Defines nonlinear correction parameters.
nonlinear_response.coefficient_a number First‑order nonlinear correction term.
nonlinear_response.coefficient_b number Second‑order nonlinear correction term.

⭐ Summary#

This data dictionary provides a clear, structured description of every field in your reference JSON files, ensuring:

  • reproducibility
  • transparency
  • reviewer‑friendly documentation
  • long‑term maintainability

Updated

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