Technosignature Narrowband Width Hz Artificiality Classifier

Actual narrowband width screen retaining whether width exceeds channel resolution; not classify artificial origin, exclude terrestrial interference or identify an extraterrestrial transmitter.

Description

A narrowband signal's measured width should be considered alongside channel resolution.

A narrowband signal's measured width should be considered alongside channel resolution.1

A width screen alone does not establish an artificial source. Use this tool to calculate the stated observation or conditional model from supplied measurements.

When to use Technosignature Narrowband Width Hz Artificiality Classifier

Use this tool to calculate the stated observation or conditional model from supplied measurements. Establish the observation or experimental context, reference/calibration source, unit basis and adopted model assumptions.

How to use Technosignature Narrowband Width Hz Artificiality Classifier and understand its results

  1. Establish the observation or experimental context, reference/calibration source, unit basis and adopted model assumptions.
  2. Enter independentlyMeasuredNarrowbandWidthHz, independentlyMeasuredChannelWidthHz, callerNarrowFeatureLimitHz, using the field meanings and rules below, then run the tool.
  3. Read result.meetsCallerWidthScreen, result.spectrallyResolved. Interpret each field using the units, signs and evidence rules below.
  4. If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
Input fieldMeaningValue typeRequirement
independentlyMeasuredNarrowbandWidthHzIndependently measured narrowband width hznumberRequired
independentlyMeasuredChannelWidthHzIndependently measured channel width hznumberRequired
callerNarrowFeatureLimitHzCaller narrow feature limit hznumberRequired

Require nonnegative measured feature width and positive channel width and caller limit in hertz. Flag width≤limit as meeting the width screen and width>channelWidth as resolved. Equality to channel width is not resolved; these booleans are independent of source classification.

meetsWidthScreen=(featureHz≤callerLimitHz); spectrallyResolved=(featureHz>channelHz)

Apply the field units and exact ordering, boundary and evidence rules above.

Output fieldMeaningValue type
resultStructured result containing the calculation or selected reference fields belowobject
result.meetsCallerWidthScreenMeets Caller Width Screen; use the units, sign convention and calculation stated aboveboolean
result.spectrallyResolvedSpectrally Resolved; use the units, sign convention and calculation stated aboveboolean
json
{
  "input": {
    "independentlyMeasuredNarrowbandWidthHz": 1,
    "independentlyMeasuredChannelWidthHz": 2,
    "callerNarrowFeatureLimitHz": 3
  },
  "output": {
    "result": {
      "meetsCallerWidthScreen": true,
      "spectrallyResolved": false
    }
  }
}

Limitations and assumptions

A width screen alone does not establish an artificial source. Results depend on the independently established measurement basis and the exact model assumptions above.

Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.

Alternative or Complementary methods

Use Starshade IWA Fresnel Number Geometry Check to examine a related aspect: Starshade geometry relates radius, separation and wavelength to angular scale and Fresnel number.

Use Earth Twin Angular Separation milliarcseconds at 10 pc Calculator where its separate inputs and scope apply: Projected orbital separation and stellar distance determine a small-angle apparent separation.

References

  1. Technosignature Narrowband Width Hz Artificiality Classifier — tool.io

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