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Astronomical Data Analysis Software and Systems XXVIII
This volume contains papers that were presented at the 28th annual conference on Astronomical Data Analysis Software and Systems (ADASS XXVIII), which was held on 11-15 November in College Park, MD, USA. The meeting was hosted by the Astronomy Department at the University of Maryland. The main themes in this volume are: Machine Learning; Management of Large Science Projects; Astrophysical Data Visualization from Line Plots to Augmented and Virtual Reality; Data Science: Workflows, Hardware, Software, and Humanware; Science Platforms: Tools for Data Discovery and Analysis from Different Angles; DevOps Practices in Astronomy Software; Software for Solar System Astronomy; Time Domain Astronomy; Multi-Messenger Astronomy; Databases and Archives: Challenges and Solutions in the Big Data Era; Quality Assurance of Science Data; and finally Algorithms. Each thematic session started with an invited talk, followed by a number of shorter contributed talks, which resulted in 60 oral presentations. In addition, there were 158 posters, 11 floor demos, 5 focus demos, and 7 "Birds of a Feather" (BoF) sessions. In addition to the ADASS meeting, the proceedings of two satellite meetings are also included in this volume: the IVOA and an ADASS Hackathon. We also include the Astrophysical Source Code Library (ASCL) index, which registers all common codes used in astronomical research. This volume will be of great interest to a wide audience of scientists and scientific programmers who either work with or are responsible for developing complex software systems and large data volumes.
Bibliographic information
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Title Astronomical Data Analysis Software and Systems XXVIII: Proceedings of a Conference Held at The Hotel at the University of Maryland, College Park, Maryland, USA, 11-15 November 2018
Volume 523 of Astronomical Society of the Pacific conference series
Editors Peter Johannes Teuben, Marc W. Pound, Brian A. Thomas, Elizabeth M. Warner
Publisher Astronomical Society of the Pacific, 2019
ISBN 1583819339, 9781583819333
Length 753 pages
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