An Astronomical Image Fidelity Assessment Tool.

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  • License: GNU GPL 3
  • Author: Athanaseus Ramaila
  • Tags fits, dataset, lsm, statistics, models, html, jupyter
  • Requires: Python >=3.6
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Project description

aimfast

An Astronomical Image Fidelity Assessment Tool

Main website: https://aimfast.readthedocs.io

Introduction

Image fidelity is a measure of the accuracy of the reconstructed sky brightness distribution. A related metric, dynamic range, is a measure of the degree to which imaging artifacts around strong sources are suppressed, which in turn implies a higher fidelity of the on-source reconstruction. Moreover, the choice of image reconstruction algorithm also affects the correctness of the on-source brightness distribution.

Installation

Installation from source, working directory where source is checked out

$ pip install .

This package is available on PYPI, allowing

$ pip install aimfast

License

This project is licensed under the GNU General Public License v3.0 - see license for details.

Contribute

Contributions are always welcome! Please ensure that you adhere to our coding standards pep8.

Project details

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Project links
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  • License: GNU GPL 3
  • Author: Athanaseus Ramaila
  • Tags fits, dataset, lsm, statistics, models, html, jupyter
  • Requires: Python >=3.6
Classifiers

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1.3.4

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