Revision ce3b8b45613b5f23102afc2b5c1a4c80d6b3ec21 authored by Bryna Hazelton on 03 June 2019, 17:41:01 UTC, committed by GitHub on 03 June 2019, 17:41:01 UTC
* update some docstrings in uvdata.py to numpy style * update more docstrings * fix bugs introduced by eliminating *args and **kwargs, add tests * fix handling of multiple input parameters with the same type/description * fix a bug from the tutorial, add tests to catch it * fix tests to actually cover passing _key2inds a nested tuple * un-reorder uvdata methods for ease of PR and rebasing will make issue to re-reorder * improve returns section handling * Fix docstring errors Adam found * fix key types everywhere * fix issues introduced in rebase * fix another rebase mistake * and another rebase fix
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paper.md
---
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
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