Event Count Poisson Confidence Interval Gehrels Approximation

Gehrels (1986) algebraic approximations to the 84.13% one-sided Poisson limits (the conventional asymmetric one-sigma error bars), including the tabulated 1.841 upper limit for zero counts.

Description

Gehrels (1986) algebraic approximations to the 84.13% one-sided Poisson limits (the conventional asymmetric one-sigma error bars), including the tabulated 1.841 upper limit for zero counts.

Event Count Poisson Confidence Interval Gehrels Approximation is a focused tool for the following task. Gehrels (1986) algebraic approximations to the 84.13% one-sided Poisson limits (the conventional asymmetric one-sigma error bars), including the tabulated 1.841 upper limit for zero counts. It reports λ_lo, λ_hi, Rule from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.

When to use Event Count Poisson Confidence Interval Gehrels Approximation

Use this seismology calculation to reproduce a stated convention, screen observations, or compare scenarios whose units, coordinate conventions, catalog selection, and model assumptions are known.

N
Required integer. Observed event count.

The cited overview of Seismology supplies background for the terminology and domain context used by this tool.1

How Event Count Poisson Confidence Interval Gehrels Approximation works

Gehrels (1986) algebraic approximations to the 84.13% one-sided Poisson limits (the conventional asymmetric one-sigma error bars), including the tabulated 1.841 upper limit for zero counts. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.

λ_lo
Returned number. One-sigma lower limit.
λ_hi
Returned number. One-sigma upper limit.
Rule
Returned string. Which Gehrels rule was applied.

Limitations and assumptions

  • Earth structure, source geometry, path effects, site response, instrument response, catalog completeness, uncertainty, and the fitted range can dominate the accuracy of simplified seismic calculations.
  • N must be at least 0.
  • Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.

Alternative or Complementary approaches

For analysis or hazard decisions, retain uncertainty and provenance and compare the result with waveform processing, calibrated regional models, and guidance from qualified seismologists or the responsible agency.

References

  1. Seismology — Wikipedia contributors

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