Separate resolution, sensitivity, and usable range
Translate indication steps into input steps and distinguish fine display resolution from low uncertainty, useful sensitivity, and overload limits.
On this page
The question for today
What you’ll understand
- Convert an output indication increment to an input increment using sensitivity.
- Evaluate a simple rounding uncertainty under an explicit distribution model.
- Explain why saturation and noise limit the usable dynamic range.
A display with six decimal places can still be a poor instrument for your experiment. Resolution concerns the smallest change that can meaningfully be distinguished, sensitivity concerns the change of indication per change of input, and dynamic range compares an upper usable scale with a specified lower one. These properties address different questions. Understand the entire measurement chain before deciding that another displayed digit means another digit of reliable knowledge.
Convert output changes into input changes
For a locally linear sensor, sensitivity is the derivative of indication with respect to input. If the input is temperature and output is voltage, sensitivity has units of volts per kelvin. An output increment divided by the magnitude of sensitivity gives a corresponding local input increment. This conversion is only local when the response is nonlinear. Near a point where the derivative vanishes, a small output step can correspond to a substantial or poorly determined input change.
Increasing electronic gain increases output sensitivity but does not automatically improve input-referred uncertainty. Noise generated before amplification is amplified along with the signal, while the larger output can reach saturation sooner. Gain may nevertheless help when downstream quantization or downstream noise dominates. Diagnose which part of the chain sets the limit instead of maximizing gain indiscriminately. Calibration of the complete chain is important because a sensor, amplifier, filter, and digitizer each influence the final relation.
A digitization step needs a probability model
A digital display rounds or quantizes a continuous indication into discrete codes. Under an ideal nearest-rounding model with step size Δ, the difference between the unrounded indication and displayed value lies within half a step. If available information justifies a uniform distribution within that interval, its standard uncertainty is Δ divided by the square root of twelve. This is an information model, not evidence that the physical input is jumping randomly between codes on every reading.
Repeated identical displayed values therefore do not prove zero uncertainty, nor can the rounding contribution automatically be divided by the square root of the number of readings. Such a reduction needs evidence that quantization errors vary appropriately across observations, often because of independent noise or deliberate dithering. Conversely, an observed spread may already include quantization effects. Adding a separate rounding term without examining the model can double count uncertainty. State whether the budget treats raw analog indication, displayed values, or their average.
Specify the limits before quoting dynamic range
A dynamic-range ratio needs a declared upper usable value and a declared lower useful value. The upper limit might be clipping, nonlinearity, damage avoidance, or a specified distortion threshold. The lower limit might be a noise-defined detection criterion, a resolution threshold, or a required relative uncertainty. These are not interchangeable conventions. A manufacturer's largest displayed value divided by its last digit is a code-span ratio; it may overstate the range over which meaningful physical measurements are possible.
Saturation loses information: several different inputs can produce the same maximum indication. No arithmetic correction can uniquely recover those inputs from the clipped code alone. Likewise, an instrument's bandwidth affects whether a brief event reaches the display before it is averaged away. Choose sensitivity, range, and response time together for the measurand. After changing gain or filtering, verify that the calibration and uncertainty description still apply to the new configuration and relevant input frequencies.
Work it through
Refer a display step to temperature
A calibrated sensor has local sensitivity . Its display rounds to , and a uniform within-step distribution is justified. Calculate the temperature step and rounding-only standard uncertainty. The output's usable span is .
Convert the voltage increment through the sensitivity: . The output step and input step describe different units of the same local response.
The voltage rounding standard uncertainty is . Dividing by sensitivity gives , before any other uncertainty sources.
The 5.0 V span contains 500 increments of 0.010 V. This code-span ratio does not establish a detection limit or a complete physical dynamic range: noise, drift, nonlinearity, and the required measurement criterion have not been specified.
The local input step is 0.020 K and the rounding-only standard uncertainty is about 0.0058 K. Neither quantity is the complete measurement uncertainty or a guaranteed smallest detectable temperature change.
The living notebook
Explore the model
Interactive lab · function
Predict where an output step means most
For y = ax², use coefficient a and position x while inspecting tangent slope 2ax. At a = 0.5, predict that the same small y increment would imply a larger local x increment at x = 0.5 than at x = 1.5, then compare the slopes. This is a derivative illustration; the lab does not quantize values, add noise, simulate clipping, or determine an instrument's detection limit.
- y at chosen x
- 0.608
- Tangent slope · 2ax
- 1.35
- Signed area · ax³/3
- 0.182
This lab uses only y = ax². Playback traces the curve within the fixed integration interval from 0 to x; it does not estimate numerical error or change the chosen point. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.
Look forResolution referred back to an input depends on the local response slope and its regime of validity.
Pause & reason
Check your understanding
Your turn
Try it yourself
A force sensor's output sensitivity is and its display step is . Find the local input step. If amplifier gain is doubled and the display step stays unchanged, what improves and what might not?
Take a moment to make a prediction or work it out on paper. Open a hint when you need one.
Give me a hint
Divide indication step by sensitivity; then distinguish quantization from noise arising before the gain stage.
Compare with the solution
Initially the input step is . Doubling gain doubles sensitivity to , giving a input-referred step for the same display. This improves the input-referred quantization increment. It does not automatically reduce sensor noise, calibration uncertainty, or drift, because upstream disturbances can be amplified with the signal. The output may also clip at a smaller input force. Assess the dominant uncertainty contributions and usable range before claiming that the overall measurement improved by a factor of two.
Keep the idea
Take it with you
- Sensitivity converts an indication change into a local input change.
- Rounding uncertainty requires a stated distribution and correlation model.
- Fine resolution and high gain do not guarantee useful uncertainty or adequate dynamic range.
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