activity
20142024
most citedThe Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

5k citations · 6.1k across the 17 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

5 papers · 1 filter

astro-ph.IM2023

The Future of Astronomical Data Infrastructure: Meeting Report

Michael R. Blanton, Janet D. Evans, Dara Norman +69

The astronomical community is grappling with the increasing volume and complexity of data produced by modern telescopes, due to difficulties in reducing, accessing, analyzing, and…

astro-ph.IM20238 cited

Practical Guidance for Bayesian Inference in Astronomy

Gwendolyn M. Eadie, Joshua S. Speagle, Jessi Cisewski-Kehe +5

In the last two decades, Bayesian inference has become commonplace in astronomy. At the same time, the choice of algorithms, terminology, notation, and interpretation of Bayesian i…

astro-ph.IM20231 cited

ripple: Differentiable and Hardware-Accelerated Waveforms for Gravitational Wave Data Analysis

Thomas D. P. Edwards, Kaze W. K. Wong, Kelvin K. H. Lam +4

We propose the use of automatic differentiation through the programming framework jax for accelerating a variety of analysis tasks throughout gravitational wave (GW) science. First…

astro-ph.IM20226 cited

Gaussian Process regression for astronomical time-series

Suzanne Aigrain, Daniel Foreman-Mackey

The last two decades have seen a major expansion in the availability, size, and precision of time-domain datasets in astronomy. Owing to their unique combination of flexibility, ma…

astro-ph.IM20225k cited

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim +133

The Astropy Project supports and fosters the development of open-source and openly-developed Python packages that provide commonly needed functionality to the astronomical communit…