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interpretable gaussian processes for stellar light curves

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I am trying to use starry_process on Win10. And i keep getting this kind of error: Even if i just want to do this simple line: `y = sp.sample_ylm().eval()` The...

For ensembles of light curves with different noise properties, we should use Hogg's eigendecomposition trick to speed up the `apply_inverse` step: https://gist.github.com/rodluger/b7a433e1fdca5641626f5f95c8abe190 Note that this will really only be useful...

When the error on the flux is < 1 ppt, inference breaks down. This can be seen in [this test](https://github.com/rodluger/starry_process/blob/41f024ad5662f691f48103c4041eb3e915523e38/tests/test_lnlike.py#L64), which often fails (by a lot!) if `ferr < 1e-3`....