BLUE method
A description of the BLUE method as implemented in this package can be found in
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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.
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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 inputuncertainty_sources.py: specify different uncertainty sources with individual correlationsreduced_correlations.py: use the "reduced correlations" option (reduce a 100% correlation to rho = sigma_X/sigma_Y, assuming sigma_X <= sigma_Y)
Metadata
Release files for blue-combine 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| blue_combine-0.2.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| blue_combine-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.5 kB
Release files / blue_combine-0.2.tar.gz
| Download URL | blue_combine-0.2.tar.gz |
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| Size | 2.9 kB |
| Tags | Source |
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Release files / blue_combine-0.2-py3-none-any.whl
| Download URL | blue_combine-0.2-py3-none-any.whl |
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| Size | 16.6 kB |
| Tags | Python 3 |
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