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A flexible Python platform for Regularized Maximum Likelihood imaging

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**Is your feature request related to a problem or opportunity? Please describe.** In practice, one calculates the noise in a synthesized image by taking the RMS of some signal-free region....

**Is your feature request related to a problem or opportunity? Please describe.** In its current form (v0.2), MPoL uses `float64` (or `complex128`) tensor types everywhere. This is because very early...

Currently our loss functions are coded as straightforward functions working on torch inputs. Some loss functions have additional parameters that are set at initialization, for example, `def entropy(cube, prior_intensity): ......

I discovered by accident that a recent version of PyTorch implemented the [ndim attribute](https://pytorch.org/docs/stable/generated/torch.Tensor.ndim.html), making it possible to use matplotlib routines to [plot PyTorch tensors directly](https://pytorch.org/docs/stable/generated/torch.Tensor.ndim.html). I would suspect this...

Adds a JOSS paper for MPoL in preparation for submission to the journal. Closes #29

Splits off NuFFT-relevant points from #224. To address this, one should implement a `NuFFT.predict(uu, vv)` method that will return model visibilities for all uu and vv points, even if the...

**Is your feature request related to a problem or opportunity? Please describe.** The new `mpol.plot.vis_histogram_fig` routine is great! But it requires a `mpol.datasets.GriddedDataset` object as input, which requires the user...

An overview of the HD 143006 imaging series is provided in #25 Part III is meant to be the "production-ready" version of a MPoL imaging script. The idea is to...

documentation

A new PR that will hopefully just incorporate changes by @kdesoto-psu, and not re-duplicate other branch history.

**Is your feature request related to a problem or opportunity? Please describe.** We were strict about our inputs to the [Gridder](https://mpol-dev.github.io/MPoL/api.html#mpol.gridding.Gridder) object, expecting that uu and vv are measured in...

enhancement