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Python package for the Best Linear Unbiased Estimate (BLUE) method

Project description

BLUE method

A description of the BLUE method as implemented in this package can be found in

  • L. Lyons, D. Gibaut and P. Clifford, "How to Combine Correlated Estimates of a Single Physical Quantity", Nucl. Instrum. Meth. A 270 (1988) 110, doi:10.1016/0168-9002(88)90018-6.

  • A. Valassi, "Combining correlated measurements of several different physical quantities", Nucl. Instrum. Meth. A 500 (2003) 391, doi:10.1016/S0168-9002(03)00329-2.

Usage

  • the examples directory contains different usage possibilities
  • basic_blue.py: basic usage of the BLUE class (example in Nucl. Instrum. Meth. A 270 (1988) 110)
  • from_correlation_matrix.py: use uncertainties and correlation matrix as input
  • uncertainty_sources.py: specify different uncertainty sources with individual correlations
  • reduced_correlations.py: use the "reduced correlations" option (reduce a 100% correlation to rho = sigma_X/sigma_Y, assuming sigma_X <= sigma_Y)

Project details


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