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====== FitPy ====== | ====== FitPy ====== | ||
- | TBD | + | FitPy -- A Python framework for advanced fitting of models to spectroscopic data. |
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+ | [[https:// | ||
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+ | FitPy is a Python framework for the **advanced fitting of models to spectroscopic data** focussing on **reproducibility**. Supported are semi-stochastic sampling of starting conditions, global fitting of several datasets at once, and fitting several concurrent models to one dataset. FitPy builds upon and extends the [[https:// | ||
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+ | Making use of the concept of recipe-driven data analysis, actual fitting **no longer requires programming skills**, but is as simple as writing a text file defining both, the model and the fitting parameters in an organised way. Curious? Have a look at [[https:// | ||
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+ | ---- | ||
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+ | <WRAP group centeralign> | ||
+ | <WRAP third column> | ||
+ | [[https:// | ||
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+ | [[https:// | ||
+ | </ | ||
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+ | <WRAP third column> | ||
+ | [[https:// | ||
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+ | [[https:// | ||
+ | </ | ||
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+ | <WRAP third column> | ||
+ | [[https:// | ||
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+ | [[https:// | ||
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+ | </ | ||
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+ | ---- | ||
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+ | ===== License and citation ===== | ||
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+ | FitPy is **free and open source** licensed under a [[.: | ||
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+ | * Till Biskup. FitPy (2024). [[https:// | ||
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+ | As FitPy is based on the SciPy and lmfit packages, you are highly encouraged to cite these two packages as well: SciPy: [[https:// | ||
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+ | ===== News ===== | ||
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+ | Note: The most up-to-date information can be found in the [[https:// | ||
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+ | * 2024-01-15: **FitPy v0.1.1 released** | ||
+ | * [[https:// | ||
+ | * 2022-01-30: **FitPy v0.1.0 released** | ||
+ | * [[https:// | ||
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+ | ---- | ||
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+ | **A note on the logo:** The logo shows a Latin square, usually attributed to Leonhard Euler. In the context of statistical sampling, a Latin square consists of only one sample in each row and each column. Its // | ||