# *nuance*

Efficient detection of planets transiting quiet or active stars

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    flex-direction: row;
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        <strong>Where to start</strong></div>
        Read the <a href="./notebooks/motivation.html">Motivation</a> behind the development of <i>nuance</i> and 
        check out the basic transit search <a href="./examples.html">Examples</a>.
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        <img class="p-2" src="_static/star.png"/></div>
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        <strong>Applications</strong></div>
        Explore the applications of nuance on realistic datasets, such 
        as <a href="./notebooks/tutorials/tess_search.html">TESS</a> or <a href="./notebooks/tutorials/ground_based.html">Ground-based</a> observations.
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        <strong>The details</strong></div>
        Read the <a href="https://arxiv.org/abs/2402.06835">nuance paper</a> or study the <a href="./markdown/API.html">API</a>.
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*nuance* uses linear models and gaussian processes (using [JAX](https://github.com/google/jax)-based [tinygp](https://github.com/dfm/tinygp)) to simultaneously **search for planetary transits while modeling correlated noises** (e.g. stellar variability) in a tractable way. Thanks to [JAX](https://github.com/google/jax), nuance is hardware-accelerated and can be run in parallel on CPUs or GPUs. 

---

```{toctree}
:maxdepth: 1
:caption: Get started

markdown/install
notebooks/motivation.ipynb
examples.md
citation.md
```


```{toctree}
:maxdepth: 1
:caption: Tutorials

notebooks/tutorials/GP_optimization.ipynb
notebooks/tutorials/analytical-ir.ipynb
notebooks/tutorials/ground_based.ipynb
notebooks/tutorials/tess_search.ipynb
notebooks/tutorials/exocomet.ipynb
```

```{toctree}
:maxdepth: 1
:caption: Reference

notebooks/star.ipynb
notebooks/templates.ipynb
markdown/hardware.md
markdown/API
```