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Interferopy: analysing datacubes from radio-to-submm observations

Name: Interferopy: analysing datacubes from radio-to-submm observations
Keywords: astronomy, python, interferometry

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Dec 2021Publisher:ZenodoFunded by:EC | Cosmic_Gas

Authors: Leindert Boogaard; Romain A. Meyer; Mladen Novak;

doi: 10.5281/zenodo.5775604

Interferopy: analysing datacubes from radio-to-submm observations

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Abstract

Interferopy analyzes datacubes from radio-to-submm observations. It provides a homogenous interface to common tasks, making it easy to go from reduced datacubes to essential measurements and publication-quality plots. Its core functionalities are widely applicable and have been successfully tested on (but are not limited to) ALMA, NOEMA, VLA and JCMT data. Read the full documentation here: https://interferopy.readthedocs.io

Related Organizations

Max Planck Society
Germany
Max Planck Institute of Neurobiology
Germany

Keywords

astronomy, python, interferometry

1 Research products, page 1 of 1

interferopy/interferopy: Interferopy v1.0.4
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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average