activity
19962025
most citedAstropy: A Community Python Package for Astronomy

14.6k citations · 22.7k across the 97 of their papers we have counts for

collaborators

97 papers

astro-ph.GA2025★ 3 cited

The JCMT Gould Belt Survey Complete Core Catalogue: Core mass function variations between nearby molecular clouds

Kate Pattle, James Di Francesco, Jenny Hatchell +14

We present a catalogue of dense cores identified in James Clerk Maxwell Telescope (JCMT) Gould Belt Survey SCUBA-2 observations of nearby star-forming clouds. We identified 2257 de…

astro-ph.GA2025

The JCMT Gould Belt Survey: First results from the Corona Australis molecular cloud and evidence of variable dust emissivity indices in the Coronet region

Kate Pattle, David Bresnahan, Derek Ward-Thompson +47

We present 450m and 850m James Clerk Maxwell Telescope (JCMT) observations of the Corona Australis (CrA) molecular cloud taken as part of the JCMT Gould Belt Legacy Survey (G…

astro-ph.IM2021★ 1 cited

Rubin Science Platform on Google: the story so far

William O'Mullane, Frossie Economou, Flora Huang +16

We describe Rubin Observatory's experience with offering a data access facility (and associated services including our Science Platform) deployed on Google Cloud infrastructure as…

astro-ph.IM2020

A Gateway to Astronomical Image Processing: Vera C. RubinObservatory LSST Science Pipelines on AWS

Dino Bektesevic, Hsin-Fang Chiang, Kian-Tat Lim +6

The Legacy Survey of Space and Time, operated by the Vera C. Rubin Observatory, is a 10-year astronomical survey due to start operations in 2022 that will image half the sky every…

astro-ph.IM2019

The demise of the filesystem and multi level service architecture

William O'Mullane, Niall Gaffney, Frossie Economou +3

Many astronomy data centres still work on filesystems. Industry has moved on; current practice in computing infrastructure is to achieve Big Data scalability using object stores ra…

astro-ph.IM2018★ 3 cited

Abstracting the storage and retrieval of image data at the LSST

Tim Jenness, James F. Bosch, Pim Schellart +3

Writing generic data processing pipelines requires that the algorithmic code does not ever have to know about data formats of files, or the locations of those files. At LSST we hav…