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Cleaning up post-rebase
--- title: 'pyuvdata: an interface for astronomical interferometeric datasets in python' tags: - radio astronomy - uvfits - miriad authors: - name: Bryna J. Hazelton orcid: 0000-0001-7532-645X affiliation: 1, 2 - name: Daniel C. Jacobs orcid: 0000-0002-0917-2269 affiliation: 3 - name: Jonathan C. Pober orcid: 0000-0002-3492-0433 affiliation: 4 - name: Adam P. Beardsley orcid: 0000-0001-9428-8233 affiliation: 3 affiliations: - name: University of Washington, eScience Institute index: 1 - name: University of Washington, Physics Department index: 2 - name: Arizona State University, School of Earth and Space Exploration index: 3 - name: Brown University, Physics Department index: 4 date: 22 November 2016 bibliography: paper.bib --- # Summary There are several standard formats for astronomical interferometric data, but converting between them in a stable and repeatable way has historically been very challenging. This is partly because of subtle assumptions in the implementations of the formats and the complexity of the mathematical relationships between the different formats (e.g. drift mode vs phased data) and partly because data analysis for individual telescopes typically used just one of the standards along with the associated analysis code. New low frequency instruments (e.g. MWA (http://www.mwatelescope.org/), PAPER (http://eor.berkeley.edu/), HERA (http://reionization.org/)), have required custom analysis and simulation software that rely on a range of different file formats. pyuvdata was designed to facilitate interoperability between these instruments and codes by providing high quality, well documented conversion routines as well as an interface to interact with interferometric data and simulations directly in python. pyuvdata currently supports reading and writing uvfits [@uvfits] and miriad [@miriad] files and reading FHD [@fhd] visibility save files. # References