This package installs NumPy for Python 3.
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This package contains the files for application development.
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This package includes test and multi-contextual client/server applications, the development and runtime libraries.

This is a metapackage to install all openvlbi packages.
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use this facility.
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Model parameters can be "frozen" (that is, held constant during the fitting process). Simple boundary constraints can be imposed on parameter values, which can be helpful to keep parameters from becoming negative, for example. Please see the documentation for the PARINFO keyword if you wish to
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permission. This algorithm is more desirable than CURVEFIT because it is generally more stable and less likely to crash than the brute-force approach taken by CURVEFIT, which is based upon Numerical Recipes.

MPFIT has additional capabilities not found in CURVEFIT.
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high level languages.
This package contains the header files, static libraries and symbolic links that developers using GNU GSL will need.

www.gnu.org/software/gsl/

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Python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets.
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blended into a global image, using the
background image in places without alignment points.
* After stacking is completed, the stacked image can be postprocessed
(sharpened) either in a final step of the stacking workflow, or in a
separate postprocessing job.
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Note that this list can be different for different points.
* For all frames, local shifts are computed at all alignment points.
* Using those shifts, the alignment point patches of all contributing
frames are stacked into a single average image patch.
* Finally, all stacked patches are
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are discarded. The user can modify the alignment points, or set them all
by hand as well.
* For each alignment point, all frames are ranked by their local contrast
in a surrounding image patch.
* The best frames up to a given number are selected for stacking.
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* Using this patch, all frames are aligned globally with each other.
* A mean image is computed by averaging the best frames.
* An alignment point mesh covering the object is constructed automatically.
Points, where the image is too dim, or has too little contrast or structure,
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The following algorithmic steps are performed:

* First, all frames are ranked by their overall image quality.
* On the best frame, a rectangular patch with the most pronounced structure
in x and y is identified automatically. (Alternatively, the user can
select the patch manually as well.)
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objects (moon, sun), but it works as well for planets. Results obtained in many tests show at least the same image quality as with the established software AutoStakkert!3.

Input to the program can be either video files or directories containing still images.
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priori.

The unyt package (pronounced like “unit”) provides a subclass of NumPy’s ndarray class that knows about units.
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