https://github.com/RadioAstronomySoftwareGroup/pyuvdata
Revision 92a1c40c56cf8c154899d6d296e881b47a9b5d1b authored by Bryna Hazelton on 21 July 2021, 22:20:38 UTC, committed by kartographer on 11 August 2021, 15:07:35 UTC
this is breaking tests on the Linux Conda builds and it's not clear we need this level of tolerance.
1 parent d08556f
Tip revision: 92a1c40c56cf8c154899d6d296e881b47a9b5d1b authored by Bryna Hazelton on 21 July 2021, 22:20:38 UTC
reduce the tolerance on `real_if_close` to numpy default tolerance
reduce the tolerance on `real_if_close` to numpy default tolerance
Tip revision: 92a1c40
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
Computing file changes ...