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Rode Strawther

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Aug 3, 2024, 5:40:36 PM8/3/24

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BlurXTerminator is an AI-powered deconvolution tool designed specifically for astronomical images. It is available as a plug-in process module for PixInsight only. Because deconvolution inherently requires linear image data, BlurXTerminator will not be made available for general photography applications such as Photoshop.

The design intent of BlurXTerminator is to recover as much detail as possible based on low-contrast information actually present in an image, without fabricating detail that does not in fact exist just for the sake of an image that appears sharper. Great care has been taken in the architecture and training of the neural network to ensure that its output is as faithful as possible to reality if it is properly used.

All deconvolution, including the classical algorithms developed by Richardson, Lucy, van Cittert, and others, fundamentally involves guesswork. Mathematically, deconvolution is said to be an ill posed problem: for a given blurry input image, there are many possible sharper images that, if re-blurred, would result in the same input image. Which one is correct, or at least a better guess?

BlurXTerminator can apply different amounts of deconvolution to the stellar and nonstellar features of an image. Trying to recover all of the detail available in nonstellar, extended objects using the classical algorithms usually results in dark halos (ringing) around stars. With BlurXTerminator, more sharpening can be applied to the nonstellar parts of an image, bringing out more detail without producing ringing artifacts in most cases.

These aberrations are not assumed to be stationary: they can vary across the field of view. This is a major advantage over most implementations of the classical deconvolution algorithms, which assume that the same PSF applies to the entire image. For example, stars with limited comatic profiles in the corners of an image will be made round and then sharpened, while stars in the center that are already round will simply be sharpened. This correction can be applied to the nonstellar features in an image, too. Correction can be done as a separate step, or in combination with sharpening.

BlurXTerminator is available only as a plug-in process module for PixInsight. Because deconvolution inherently requires linear image data, BlurXTerminator will not be made available for general photography applications such as Photoshop.

There are two other packages with complimentary functionality as Astroquery:pyvo is an Astropy affiliated package, andSimple-Cone-Search-Creator togenerate a cone search service complying with theIVOA standard.They are more oriented to general virtual observatorydiscovery and queries, whereas Astroquery has web service specific interfaces.

Uniquely in the Astropy ecosystem, Astroquery is operating with a continuous deployment model.It means that a release is instantaneously available after a pull request has been merged. Thesereleases are automatically uploaded to PyPI,and therefore the latest version of astroquery can be pip installed.The version number of these automated releases contain the 'dev' tag, thus pip needs to be toldto look for these releases during an upgrade, using the --pre install option. If astroquery isalready installed, please make sure you use the --upgrade (or -U) install option as well.

To install all the mandatory and optional dependencies add the [all]identifyer to the pip command above (or use [docs] or [test] for thedependencies required to build the documentation or run the tests):

In addition to the automated releases, we also keep doing regular, tagged version for maintenanceand packaging purposes. These can be pip installed without the --pre option andare also available from the conda-forge conda channel.

By default Astroquery employs query caching with a timeout of 1 week.The user can clear their cache at any time, as well as suspend cache usage,and change the cache location. Caching persists between Astroquery sessions.If you know the service you are using has released new data recently, or if you believe you arenot receiving the newest data, try clearing the cache.

Whether caching is active and when cached files expire are controlled centrally through theastroquery cache_conf module, and shared among all services.Astroquery uses the Astropy configuration infrastructure, information abouttemporarily or permanently changing configuration values can be foundhere.