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The discovery of cosmic radio emission by Karl Jansky in the course of searching for the source of interference to telephone communications and the instrumental advances which followed, have led to a series of new paradigm changing…

Instrumentation and Methods for Astrophysics · Physics 2016-09-08 K. I. Kellermann , J. M. Cordes , R. D. Ekers , J. Lazio , P. Wilkinson

The tens of millions of radio sources to be detected with next-generation surveys pose new challenges, quite apart from the obvious ones of processing speed and data volumes. For example, existing algorithms are inadequate for source…

Instrumentation and Methods for Astrophysics · Physics 2017-06-14 Ray P. Norris

Fundamental changes are taking place in the way we do astronomy. In twenty years time, it is likely that most astronomers will never go near a cutting-edge telescope, which will be much more efficiently operated in service mode. They will…

Instrumentation and Methods for Astrophysics · Physics 2010-10-01 Ray P. Norris

Sky surveys represent a fundamental data basis for astronomy. We use them to map in a systematic way the universe and its constituents, and to discover new types of objects or phenomena. We review the subject, with an emphasis on the…

Instrumentation and Methods for Astrophysics · Physics 2015-05-20 S. G. Djorgovski , A. A. Mahabal , A. J. Drake , M. J. Graham , C. Donalek

Looking ahead to the next decade and imagining the landscape of astronomy in 2020, it is clear that astronomical surveys, large and small, plus extensive follow-up projects, will be a great engine of progress in our profession. Surveys have…

Cosmology and Nongalactic Astrophysics · Physics 2009-04-20 Steven T. Myers

Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not conform to the norms are an indication that the rules of…

Machine Learning · Computer Science 2026-02-17 Elizabeth G. Campolongo , Yuan-Tang Chou , Ekaterina Govorkova , Wahid Bhimji , Wei-Lun Chao , Chris Harris , Shih-Chieh Hsu , Hilmar Lapp , Mark S. Neubauer , Josephine Namayanja , Aneesh Subramanian , Philip Harris , Advaith Anand , David E. Carlyn , Subhankar Ghosh , Christopher Lawrence , Eric Moreno , Ryan Raikman , Jiaman Wu , Ziheng Zhang , Bayu Adhi , Mohammad Ahmadi Gharehtoragh , Saúl Alonso Monsalve , Marta Babicz , Furqan Baig , Namrata Banerji , William Bardon , Tyler Barna , Tanya Berger-Wolf , Adji Bousso Dieng , Micah Brachman , Quentin Buat , David C. Y. Hui , Phuong Cao , Franco Cerino , Yi-Chun Chang , Shivaji Chaulagain , An-Kai Chen , Deming Chen , Eric Chen , Chia-Jui Chou , Zih-Chen Ciou , Miles Cochran-Branson , Artur Cordeiro Oudot Choi , Michael Coughlin , Matteo Cremonesi , Maria Dadarlat , Peter Darch , Malina Desai , Daniel Diaz , Steven Dillmann , Javier Duarte , Isla Duporge , Urbas Ekka , Saba Entezari Heravi , Hao Fang , Rian Flynn , Geoffrey Fox , Emily Freed , Hang Gao , Jing Gao , Julia Gonski , Matthew Graham , Abolfazl Hashemi , Scott Hauck , James Hazelden , Joshua Henry Peterson , Duc Hoang , Wei Hu , Mirco Huennefeld , David Hyde , Vandana Janeja , Nattapon Jaroenchai , Haoyi Jia , Yunfan Kang , Maksim Kholiavchenko , Elham E. Khoda , Sangin Kim , Aditya Kumar , Bo-Cheng Lai , Trung Le , Chi-Wei Lee , JangHyeon Lee , Shaocheng Lee , Suzan van der Lee , Charles Lewis , Haitong Li , Haoyang Li , Henry Liao , Mia Liu , Xiaolin Liu , Xiulong Liu , Vladimir Loncar , Fangzheng Lyu , Ilya Makarov , Abhishikth Mallampalli , Chen-Yu Mao , Alexander Michels , Alexander Migala , Farouk Mokhtar , Mathieu Morlighem , Min Namgung , Andrzej Novak , Andrew Novick , Amy Orsborn , Anand Padmanabhan , Jia-Cheng Pan , Sneh Pandya , Zhiyuan Pei , Ana Peixoto , George Percivall , Alex Po Leung , Sanjay Purushotham , Zhiqiang Que , Melissa Quinnan , Arghya Ranjan , Dylan Rankin , Christina Reissel , Benedikt Riedel , Dan Rubenstein , Argyro Sasli , Eli Shlizerman , Arushi Singh , Kim Singh , Eric R. Sokol , Arturo Sorensen , Yu Su , Mitra Taheri , Vaibhav Thakkar , Ann Mariam Thomas , Eric Toberer , Chenghan Tsai , Rebecca Vandewalle , Arjun Verma , Ricco C. Venterea , He Wang , Jianwu Wang , Sam Wang , Shaowen Wang , Gordon Watts , Jason Weitz , Andrew Wildridge , Rebecca Williams , Scott Wolf , Yue Xu , Jianqi Yan , Jai Yu , Yulei Zhang , Haoran Zhao , Ying Zhao , Yibo Zhong

Anomalies drive scientific discovery -- they are associated with the cutting edge of the research frontier, and thus typically exploit data in the low signal-to-noise regime. In astronomy, the prevalence of systematics --- both "known…

Cosmology and Nongalactic Astrophysics · Physics 2014-10-16 Hiranya V. Peiris

Astronomical observations already produce vast amounts of data through a new generation of telescopes that cannot be analyzed manually. Next-generation telescopes such as the Large Synoptic Survey Telescope and the Square Kilometer Array…

Instrumentation and Methods for Astrophysics · Physics 2019-10-09 Giuseppe Longo , Erzsébet Merényi , Peter Tino

For the past 400 years, astronomers have sought to observe and interpret the Universe by building more powerful telescopes. These incredible instruments extend the capabilities of one of our most important senses, sight, towards new limits…

Instrumentation and Methods for Astrophysics · Physics 2018-08-22 Jason Kalirai

Telescope and detector developments continuously enable deeper and more detailed studies of astronomical objects. Larger collecting areas, improvement in dispersion and detector techniques, and higher sensitivities allow detection of more…

Wide-angle surveys have been an engine for new discoveries throughout the modern history of astronomy, and have been among the most highly cited and scientifically productive observing facilities in recent years. This trend is likely to…

We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the forefront of "big data" science, with exponentially growing data volumes and data…

Instrumentation and Methods for Astrophysics · Physics 2014-11-04 G. Longo , M. Brescia , S. G. Djorgovski , S. Cavuoti , C. Donalek

The next generation of telescopes such as the SKA and the Rubin Observatory will produce enormous data sets, requiring automated anomaly detection to enable scientific discovery. Here, we present an overview and friendly user guide to the…

Instrumentation and Methods for Astrophysics · Physics 2022-01-26 Michelle Lochner , Bruce A. Bassett

Over the past decade, sky surveys such as the Sloan Digital Sky Survey have proven the power of large data sets for answering fundamental astrophysical questions. This observational progress, based on a synergy of advances in telescope…

Instrumentation and Methods for Astrophysics · Physics 2010-09-14 J. Anthony Tyson

This review summarizes popular unsupervised learning methods, and gives an overview of their past, current, and future uses in astronomy. Unsupervised learning aims to organise the information content of a dataset, in such a way that…

Instrumentation and Methods for Astrophysics · Physics 2024-06-26 Sotiria Fotopoulou

Unsupervised machine learning is widely used to mine large, unlabeled datasets to make data-driven discoveries in critical domains such as climate science, biomedicine, astronomy, chemistry, and more. However, despite its widespread…

Machine Learning · Computer Science 2025-06-06 Andersen Chang , Tiffany M. Tang , Tarek M. Zikry , Genevera I. Allen

The Hubble Space Telescope has produced astonishing science over the past thirty years. Hubble's productivity can continue to soar for years to come provided some worn out components get upgraded. While powerful new ground-based and space…

An array of large observational programs using ground-based and space-borne telescopes is planned in the next decade. The forthcoming wide-field sky surveys are expected to deliver a sheer volume of data exceeding an exabyte. Processing the…

Instrumentation and Methods for Astrophysics · Physics 2023-05-26 Kana Moriwaki , Takahiro Nishimichi , Naoki Yoshida

Breakthrough discoveries and inventions involve unexpected combinations of contents including problems, methods, and natural entities, and also diverse contexts such as journals, subfields, and conferences. Drawing on data from tens of…

Digital Libraries · Computer Science 2020-01-17 Feng Shi , James Evans

The history of science reveals that major discoveries are not predictable. Naively, one might conclude therefore that it is not possible to artificially cultivate an environment that promotes discoveries. I suggest instead that open…

Instrumentation and Methods for Astrophysics · Physics 2012-07-18 Abraham Loeb
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