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The advent of large data-set in cosmology has meant that in the past 10 or 20 years our knowledge and understanding of the Universe has changed not only quantitatively but also, and most importantly, qualitatively. Cosmologists rely on data…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 Licia Verde

High precision astrometry provides the foundation to resolve many fundamental problems in astrophysics. The application of astrometric studies spans a wide range of fields, and has undergone enormous growth in recent years. This is as a…

Instrumentation and Methods for Astrophysics · Physics 2019-10-30 Maria Rioja , Richard Dodson

The Large Synoptic Survey Telescope is designed to provide an unprecedented optical imaging dataset that will support investigations of our Solar System, Galaxy and Universe, across half the sky and over ten years of repeated observation.…

Instrumentation and Methods for Astrophysics · Physics 2017-08-16 LSST Science Collaboration , Phil Marshall , Timo Anguita , Federica B. Bianco , Eric C. Bellm , Niel Brandt , Will Clarkson , Andy Connolly , Eric Gawiser , Zeljko Ivezic , Lynne Jones , Michelle Lochner , Michael B. Lund , Ashish Mahabal , David Nidever , Knut Olsen , Stephen Ridgway , Jason Rhodes , Ohad Shemmer , David Trilling , Kathy Vivas , Lucianne Walkowicz , Beth Willman , Peter Yoachim , Scott Anderson , Pierre Antilogus , Ruth Angus , Iair Arcavi , Humna Awan , Rahul Biswas , Keaton J. Bell , David Bennett , Chris Britt , Derek Buzasi , Dana I. Casetti-Dinescu , Laura Chomiuk , Chuck Claver , Kem Cook , James Davenport , Victor Debattista , Seth Digel , Zoheyr Doctor , R. E. Firth , Ryan Foley , Wen-fai Fong , Lluis Galbany , Mark Giampapa , John E. Gizis , Melissa L. Graham , Carl Grillmair , Phillipe Gris , Zoltan Haiman , Patrick Hartigan , Suzanne Hawley , Renee Hlozek , Saurabh W. Jha , C. Johns-Krull , Shashi Kanbur , Vassiliki Kalogera , Vinay Kashyap , Vishal Kasliwal , Richard Kessler , Alex Kim , Peter Kurczynski , Ofer Lahav , Michael C. Liu , Alex Malz , Raffaella Margutti , Tom Matheson , Jason D. McEwen , Peregrine McGehee , Soren Meibom , Josh Meyers , Dave Monet , Eric Neilsen , Jeffrey Newman , Matt O'Dowd , Hiranya V. Peiris , Matthew T. Penny , Christina Peters , Radoslaw Poleski , Kara Ponder , Gordon Richards , Jeonghee Rho , David Rubin , Samuel Schmidt , Robert L. Schuhmann , Avi Shporer , Colin Slater , Nathan Smith , Marcelles Soares-Santos , Keivan Stassun , Jay Strader , Michael Strauss , Rachel Street , Christopher Stubbs , Mark Sullivan , Paula Szkody , Virginia Trimble , Tony Tyson , Miguel de Val-Borro , Stefano Valenti , Robert Wagoner , W. Michael Wood-Vasey , Bevin Ashley Zauderer

The rapid evolution of information systems managing more and more voluminous data has caused profound paradigm shifts in the job of statistician, becoming successively data miner, bioinformatician and now data scientist. Without the sake of…

Statistics Theory · Mathematics 2014-05-22 Philippe Besse , Aurélien Garivier , Jean-Michel Loubes

With advancements in GPS, remote sensing, and computational simulation, an enormous volume of spatiotemporal data is being collected at an increasing speed from various application domains, spanning Earth sciences, agriculture, smart…

Machine Learning · Computer Science 2023-11-01 Zhe Jiang

The next decade of survey astronomy has the potential to transform our knowledge of variable stars. Stellar variability underpins our knowledge of the cosmological distance ladder, and provides direct tests of stellar formation and…

This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures;…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-08-28 Marcos D. Assuncao , Rodrigo N. Calheiros , Silvia Bianchi , Marco A. S. Netto , Rajkumar Buyya

Radio astronomy observations in the coming decade will require new levels of sensitivity while mapping large regions of space with much greater efficiency than is achieved with current telescopes. This requires new instrumentation with the…

Instrumentation and Methods for Astrophysics · Physics 2009-09-30 Matthew A. Morgan , J. Richard Fisher

This textbook provides a systematic treatment of statistical machine learning for astronomical research through the lens of Bayesian inference, developing a unified framework that reveals connections between modern data analysis techniques…

Instrumentation and Methods for Astrophysics · Physics 2025-06-17 Yuan-Sen Ting

Astrophysics and Space Science are becoming increasingly characterised by what is now known as "big data", the bottlenecks for progress partly shifting from data acquisition to "data mining". Truth is that the amount and rate of data…

Instrumentation and Methods for Astrophysics · Physics 2019-02-13 Ulisses Barres de Almeida , Paolo Giommi , Carlos H. Brandt , Benno Bodmann

The searches for other life and for intelligence are fundamental problems that science faces today. Most searches so far have been focused on radio, but optical laser communication is an alternative, well suited for a ground-based…

Instrumentation and Methods for Astrophysics · Physics 2025-12-23 Valenitn D. Ivanov

The discovery of gravitational waves, first observed in September 2015 following the merger of a binary black hole system, has already revolutionised our understanding of the Universe. This was further enhanced in August 2017, when the…

We summarize the first exploratory investigation into whether Machine Learning techniques can augment science strategic planning. We find that an approach based on Latent Dirichlet Allocation using abstracts drawn from high impact astronomy…

Instrumentation and Methods for Astrophysics · Physics 2022-03-03 Brian Thomas , Harley Thronson , Anthony Buonomo , Louis Barbier

High-energy SETI pushes astrobiology to its limits, testing the most fundamental needs of life and the most extreme limits of technology. It has lagged behind the rest of the field, but the increased respectability of SETI could spark…

High Energy Astrophysical Phenomena · Physics 2025-06-23 Brian C. Lacki , Stephen DiKerby

Astronomy depends on ever increasing computing power. Processor clock-rates have plateaued, and increased performance is now appearing in the form of additional processor cores on a single chip. This poses significant challenges to the…

Instrumentation and Methods for Astrophysics · Physics 2015-05-19 Benjamin R. Barsdell , David G. Barnes , Christopher J. Fluke

In recent decades, astronomy and astrophysics have experienced several fundamental changes. On one hand, there has been a significant increase in the observation of transient phenomena, which are short-lived events such as supernova…

Instrumentation and Methods for Astrophysics · Physics 2024-07-16 Fabian Schüssler , M. de Bony de Lavergne , A. Kaan Alkan , J. Mourier

Astrophotonics is the application of versatile photonic technologies to channel, manipulate, and disperse guided light from one or more telescopes to achieve scientific objectives in astronomy in an efficient and cost-effective way. The…

Gravitational wave astronomy has emerged as a new branch of observational astronomy, since the first detection of gravitational waves in 2015. The current number of $O(100)$ detections is expected to grow by several orders of magnitude over…

General Relativity and Quantum Cosmology · Physics 2024-01-17 Nikolaos Stergioulas

Over the last ten years there has been a large increase in the number of projects using sound to represent astronomical data and concepts. Motivation for these projects includes the potential to enhance scientific discovery within complex…

Instrumentation and Methods for Astrophysics · Physics 2022-06-29 A. Zanella , C. M. Harrison , S. Lenzi , J. Cooke , P. Damsma , S. W. Fleming