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Astronomy is entering an unprecedented era of data collection. Upcoming large surveys will gather more data than ever before, generated at rates requiring real-time decision making. Looking ahead, it is inevitable that astronomers will need…

天体物理仪器与方法 · 物理学 2024-09-27 Hugo Walsh , Christopher Fluke , Sara Webb , Lisa Wise

The work of astronomers is getting more complex and advanced as the progress of computer development occurs. With improved computing capabilities and increased data flow, more sophisticated software is required in order to interpret, and…

天体物理仪器与方法 · 物理学 2015-05-19 Kim K. Nilsson , Ole Moeller-Nilsson

In this data-rich era of astronomy, there is a growing reliance on automated techniques to discover new knowledge. The role of the astronomer may change from being a discoverer to being a confirmer. But what do astronomers actually look at…

天体物理仪器与方法 · 物理学 2017-04-26 C. J. Fluke , L. Parrington , S. Hegarty , C. MacMahon , S. Morgan , A. H. Hassan , V. A. Kilborn

The days of the lone astronomer with his optical telescope and photographic plates are long gone: Astronomy in 2025 will not only be multi-wavelength, but multi-messenger, and dominated by huge data sets and matching data rates. Catalogues…

天体物理仪器与方法 · 物理学 2015-06-22 Michael Garrett

We review the current state of data mining and machine learning in astronomy. 'Data Mining' can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach,…

天体物理仪器与方法 · 物理学 2010-08-11 Nicholas M. Ball , Robert J. Brunner

Visualisation of data is critical to understanding astronomical phenomena. Today, many instruments produce datasets that are too big to be downloaded to a local computer, yet many of the visualisation tools used by astronomers are deployed…

天体物理仪器与方法 · 物理学 2018-05-02 Bernard F Meade , Christopher J Fluke

Astronomy is increasingly encountering two fundamental truths: (1) The field is faced with the task of extracting useful information from extremely large, complex, and high dimensional datasets; (2) The techniques of astroinformatics and…

天体物理仪器与方法 · 物理学 2011-10-28 Nicholas M. Ball

In this work, we identify elements of effective machine learning datasets in astronomy and present suggestions for their design and creation. Machine learning has become an increasingly important tool for analyzing and understanding the…

天体物理仪器与方法 · 物理学 2022-11-30 Bernie Boscoe , Tuan Do , Evan Jones , Yunqi Li , Kevin Alfaro , Christy Ma

Astronomical researchers often think of analysis and visualization as separate tasks. In the case of high-dimensional data sets, though, interactive exploratory data visualization can give far more insight than an approach where data…

天体物理仪器与方法 · 物理学 2015-06-05 Alyssa A. Goodman

The era of data-intensive astronomy is being ushered in with the increasing size and complexity of observational data across wavelength and time domains, the development of algorithms to extract information from this complexity, and the…

天体物理仪器与方法 · 物理学 2020-05-20 Mubdi Rahman , Dustin Lang , Renée Hložek , Jo Bovy , Laurence Perreault-Levasseur

An important feature of pervasive, intelligent assistance systems is the ability to dynamically adapt to the current needs of their users. Hence, it is critical for such systems to be able to recognize those goals and needs based on…

人工智能 · 计算机科学 2023-01-16 Nils Wilken , Lea Cohausz , Johannes Schaum , Stefan Lüdtke , Heiner Stuckenschmidt

Data analysis in space sciences has been performed exclusively visually for years, despite the fact that the largest amount of data belongs to non-visible portions of the electromagnetic spectrum. This, on the one hand, limits the study of…

天体物理仪器与方法 · 物理学 2023-05-10 Johanna Casado , Beatriz García

We describe the application of data mining algorithms to research problems in astronomy. We posit that data mining has always been fundamental to astronomical research, since data mining is the basis of evidence-based discovery, including…

天体物理仪器与方法 · 物理学 2009-11-04 Kirk Borne

Astronomy is one of the most data-intensive of the sciences. Data technology is accelerating the quality and effectiveness of its research, and the rate of astronomical discovery is higher than ever. As a result, many view astronomy as…

天体物理学 · 物理学 2007-05-23 Ray P Norris

Understanding human behavior is a fundamental goal of social sciences, yet its analysis presents significant challenges. Conventional methodologies employed for the study of behavior, characterized by labor-intensive data collection…

人机交互 · 计算机科学 2024-07-19 Dominik Schiller , Tobias Hallmen , Daksitha Withanage Don , Elisabeth André , Tobias Baur

Astronomy is entering a new era of discovery, coincident with the establishment of new facilities for observation and simulation that will routinely generate petabytes of data. While an increasing reliance on automated data analysis is…

天体物理仪器与方法 · 物理学 2015-05-27 Amr Hassan , Christopher J. Fluke

The emergence of "big data" offers unprecedented opportunities for not only accelerating scientific advances but also enabling new modes of discovery. Scientific progress in many disciplines is increasingly enabled by our ability to examine…

计算机与社会 · 计算机科学 2017-07-03 Vasant G. Honavar , Mark D. Hill , Katherine Yelick

Astrophysics and cosmology are rich with data. The advent of wide-area digital cameras on large aperture telescopes has led to ever more ambitious surveys of the sky. Data volumes of entire surveys a decade ago can now be acquired in a…

天体物理仪器与方法 · 物理学 2017-04-18 Jan Kremer , Kristoffer Stensbo-Smidt , Fabian Gieseke , Kim Steenstrup Pedersen , Christian Igel

All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common…

天体物理学 · 物理学 2016-11-17 S. G. Djorgovski
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