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KSkwarczynski merged 2 commits into from
Jan 15, 2026
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tidy: Enhance README with additional MaCh3 tutorial details #207

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Enhance README with additional MaCh3 tutorial details
KSkwarczynski Jan 15, 2026
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thanks bot
KSkwarczynski Jan 15, 2026
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5 changes: 4 additions & 1 deletion README.md
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# Welcome to MaCh3 Tutorial
After this tutorial you should know how to run MCMC, implement systematic uncertainties, new samples, and how to plot standard Bayesian diagnostics.

The current setup includes a single sample with several cross-section and oscillation parameters.
There are several standard parts of MaCh3 analysis like sample/systematic implementations, validations and plotting.
This tutorial will help you get used to different parts of MaCh3.

<img width="700" alt="Workflow example" src="https://github.com/user-attachments/assets/f0197499-a0e4-483e-8e8f-c1deb6d880ea">

MaCh3 is predominantly C++ software, although some functionality is available through python as well. See the table of contents for more.

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