Kuramoto Order Parameter Calculator

Track synchronization strength using a single statistic. Enter phases, or generate them from distributions easily. See magnitude and mean angle, then export instantly anywhere.

Calculator Inputs

Computation uses radians internally.
Choose the data source for θ values.
One click fills fields for testing.
Provide at least two values. Use the selected angle unit.
Uses server PRNG each submit.
Radians: 0 to 2π. Degrees: 0 to 360.
Angles are not auto-wrapped before computing.
Uses θ(t)=θ₀+ωt to build phases.

Formula Used

The Kuramoto order parameter summarizes phase coherence across N oscillators. It is defined as a complex average of unit phasors:

z = R e^{iψ} = (1/N) ∑j=1N e^{iθj}
R = |z|,   ψ = arg(z)

In practice, compute the mean cosine and sine components: Re(z) = (1/N)∑cos(θj), Im(z) = (1/N)∑sin(θj), then R = √(Re² + Im²) and ψ = atan2(Im, Re).

How to Use This Calculator

  1. Select your angle unit (radians or degrees).
  2. Choose an input mode: manual phases, random generation, or frequencies.
  3. Provide phase values θᵢ, or generate them, then press Calculate.
  4. Review R and ψ in the results panel above the form.
  5. Use the CSV/PDF buttons to export the computed summary.

Example Data Table

Case Sample phases (radians) Expected R Interpretation
Highly coherent 0, 0.05, -0.03, 0.02, 0.01 Near 1 Oscillators cluster around one angle.
Mostly incoherent 0, 1.2, 2.6, 4.1, 5.7 Near 0 Phases spread around the circle.
Two clusters 0.0, 0.1, 3.1, 3.2 Moderate Two opposing groups reduce net coherence.

Your exact R depends on the precise angles and sample size.

Notes for Advanced Use

Professional Notes and Use Cases

This calculator evaluates collective phase alignment using the Kuramoto order parameter. It is widely used in nonlinear dynamics, neuroscience, power grids, and coupled-oscillator experiments where coherence must be tracked as conditions, noise, or sampling change.

1) What the magnitude R measures

The magnitude R ranges from 0 to 1 and summarizes how tightly phases cluster on the unit circle. If all oscillators share nearly the same phase, phasors add constructively and R approaches 1. If phases are spread, positive and negative contributions cancel and R trends toward 0.

2) What the mean angle ψ tells you

The mean angle ψ is the argument of the complex average, indicating the dominant phase direction of the population. When R is small, ψ becomes less informative because the resultant vector is short. For reporting, this tool also provides a wrapped ψ in a standard principal range.

3) Choosing angle units and consistent inputs

Enter phases in either radians or degrees, then keep that choice consistent across all fields and examples. Internally the computation uses radians, so a unit conversion is applied only at input and output. Periodicity means angles outside 2π (or 360) are valid, but unit mismatches will distort results.

4) Manual phase lists for measured data

Manual entry is ideal for experimental snapshots, phase estimates from Hilbert transforms, or extracted angles from simulations. Use commas, spaces, or new lines. With larger N, R becomes more stable, so consider aggregating many oscillators per condition to reduce sampling variability.

5) Random phase generation for baselines

The generator supports uniform and Gaussian phase sampling to create reference datasets. A uniform range near [0, 2π) produces an incoherent baseline with expected R close to 0 for large N. A narrow normal distribution creates clustered phases and yields higher R, useful for sensitivity checks.

6) Frequency-built phases for quick projections

The frequency mode computes phases using θ(t)=θ₀+ωt. This is useful when you have natural frequencies and initial phases and want a fast, uncoupled projection at a specified time. It is not a full coupling simulation, but it helps compare how dispersion in ω affects instantaneous coherence.

7) Interpreting coherence levels in practice

In many studies, R above roughly 0.7 indicates strong phase concentration, while values below about 0.3 suggest weak coherence. These thresholds are context dependent: noise level, window length, and measurement method all matter. Track R over time or across conditions rather than relying on a single snapshot.

8) Exporting results for documentation

Use CSV export for spreadsheets, reproducible pipelines, and batch comparisons. Use PDF export for lab notes and reports where a compact summary is preferred. Both exports include R, ψ, wrapped ψ, real and imaginary components, and the phase list used in the computation for traceability.

FAQs

1) What does R = 1 mean?

R = 1 means all phases are identical (or extremely close), so the average phasor has full length. This indicates perfect instantaneous phase alignment across the oscillators.

2) Why can ψ look unstable when R is small?

When R is near zero, the resultant vector is tiny, so small numerical or sampling changes can swing its direction. In that case, treat ψ as unreliable and focus on R.

3) Can I enter angles greater than 2π or 360?

Yes. Sine and cosine are periodic, so the calculation is unchanged by adding full rotations. Just keep the unit setting consistent with your input values.

4) Is this a full Kuramoto coupling simulation?

No. This tool computes the order parameter from a set of phases. The frequency mode uses θ(t)=θ₀+ωt as a simple construction, not coupled dynamics.

5) How many oscillators should I use?

More is generally better for stability. Small N can give noisy R estimates, especially for nearly uniform phases. If possible, use tens to hundreds of oscillators per condition.

6) What is the difference between ψ and wrapped ψ?

ψ is computed with atan2 and can be expressed in your chosen unit. Wrapped ψ is mapped into a standard principal interval, making comparisons and plotting more convenient.

7) What should I export for a paper or report?

Export CSV for analysis, plotting, and reproducibility. Export PDF when you need a clean, shareable summary. Both include key metrics and the phase list used to compute them.

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