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authoredJan 16, 2020
updated Readme
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‎README.md

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# CombinationTool
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## Idea:
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Tool to constrain the parameters of physics models using Bayesian inference by combining measurements of (different) observables. Especially suitable for EFT models. Bayesian inference is performed using the <a target="_blank" href="https://github.com/bat/BAT.jl">*Bayesian Analysis Toolkit - BAT.jl*</a>.
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* **Assumption**: Measurements of physical quantities are approximately gaussian. This allows to combine the measurements using the following likelihood:
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<img src="http://latex2png.com/pngs/9fcbfbebe11bc63f39c64ac44e6bf790.png" width="1000" height="55" />
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* **Likelihood**:
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<img src="http://latex2png.com/output//latex_9bcf1dbba64bc349f0c0d81e817d269c.png" width="600" height="65" />
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<img src="http://latex2png.com/pngs/9fcbfbebe11bc63f39c64ac44e6bf790.png" width="450" height="55" />
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with the **covariance matrix**:
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<img src="http://latex2png.com/pngs/5ceee38a8fa4eefd3b91ec36ce075746.png" width="550" height="65" />
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<img src="http://latex2png.com/pngs/5ceee38a8fa4eefd3b91ec36ce075746.png" width="350" height="55" />
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## Input needed:
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* **Correlations:** Correlation matrices for all types of uncertainties
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## Current structure of the Julia package *EFTfitter_julia.jl*
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## Current structure of the code:
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* /
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* *runCombinationTool.jl:* Main routine for performing a run of the CombinationTool
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* *inputs.jl:* Input file. Providing observables, measurements, uncertainties and correlations.

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