calibrator

Crates.iocalibrator
lib.rscalibrator
version0.1.2
created_at2024-12-13 17:05:16.616954+00
updated_at2024-12-17 20:39:23.946211+00
descriptionmethods for calibration of scalar and vector measurement systems
homepage
repositoryhttps://github.com/sensoriumtl/calibration
max_upload_size
id1482367
size630,037
Christopher Gubbin (cgubbin)

documentation

README

Calibrator

Calibrator is a software package for working with measurement models. A measurement model is any system which produces some Response, as a result of a Stimulus. Typically when using an experimental measurement system it is calibrated by measuring a set of Response values, for known values of the Stimulus. This calibration data is then used create a set of calibration functions, able to predict unseen values of the Stimulus from new measurements of the Response.

The Calibrator crate provides methods to:

  • Generate calibration functions from known noisy calibration data
  • Predict new stimulus or response values, along with estimated uncertainties from new data
  • Calculate the effective operating range of a measurement system
  • Use a numerical mock of the measurement system to do the above
Commit count: 0

cargo fmt