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Related papers: Data challenges of time domain astronomy

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Experience suggests that structural issues in how institutional Astrophysics approaches data-driven science and the development of discovery technology may be hampering the community's ability to respond effectively to a rapidly changing…

We describe the development of a system for an automated, iterative, real-time classification of transient events discovered in synoptic sky surveys. The system under development incorporates a number of Machine Learning techniques, mostly…

Instrumentation and Methods for Astrophysics · Physics 2011-10-24 S. G. Djorgovski , C. Donalek , A. Mahabal , B. Moghaddam , M. Turmon , M. Graham , A. Drake , N. Sharma , Y. Chen

Despite centuries of close association, statistics and astronomy are surprisingly distant today. Most observational astronomical research relies on an inadequate toolbox of methodological tools. Yet the needs are substantial: astronomy…

Astrophysics · Physics 2014-10-13 E. D. Feigelson , G. J. Babu

Astronomy has a distinguished tradition of using technology to accelerate the quality and effectiveness of science, and data-intensive initiatives such as the Virtual Observatory lead the way amongst other fields of science. However,…

Astrophysics · Physics 2007-05-23 Ray P Norris

Time domain astronomy has come of age with astronomers now able to monitor the sky at high cadence both across the electromagnetic spectrum and using neutrinos and gravitational waves. The advent of new observing facilities permits new…

Instrumentation and Methods for Astrophysics · Physics 2013-06-05 P. T. O'Brien , S. J. Smartt

The field of time-domain astronomy has experienced unprecedented growth due to the increasing deployment of robotic telescopes capable of autonomous, round-the-clock sky monitoring. These instruments have revolutionized the detection and…

Instrumentation and Methods for Astrophysics · Physics 2026-01-09 Yakubu Mu'allim , J. O. Vwavware , A. Ohwofosirai

The field of astronomy has arrived at a turning point in terms of size and complexity of both datasets and scientific collaboration. Commensurately, algorithms and statistical models have begun to adapt --- e.g., via the onset of artificial…

Radio-astronomy is about to embark on a new way of doing science. The revolution that is about to take place is not due to the enormous sensitivity of the Square Kilometre Array, which is still a decade away, but due to its pathfinders,…

Instrumentation and Methods for Astrophysics · Physics 2015-05-20 Ray P. Norris

Nowadays there is no field research which is not flooded with data. Among the sciences, Astrophysics has always been driven by the analysis of massive amounts of data. The development of new and more sophisticated observation facilities,…

Instrumentation and Methods for Astrophysics · Physics 2017-06-14 Mauro Garofalo , Alessio Botta , Giorgio Ventre

Over the next decade we will witness the development of a new infrastructure in support of data-intensive scientific research, which includes Astronomy. This new networked environment will offer both challenges and opportunities to our…

Instrumentation and Methods for Astrophysics · Physics 2010-06-04 Alberto Accomazzi

Contemporary astronomy benefits of very large and rapidly growing amounts of data in all bands of the electromagnetic spectrum, from long-wavelength radio waves to high energy gamma-rays. Astronomers normally specialize in data taken in one…

Instrumentation and Methods for Astrophysics · Physics 2015-06-17 Paolo Giommi

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,…

Instrumentation and Methods for Astrophysics · Physics 2010-08-11 Nicholas M. Ball , Robert J. Brunner

Astrophysical observations of the cosmos allow us to probe extreme physics and answer foundational questions on our universe. Modern astronomy is increasingly operating under a holistic approach, probing the same question with multiple…

High Energy Astrophysical Phenomena · Physics 2025-04-04 Eric Burns , Christopher L. Fryer , Ivan Agullo , Jennifer Andrews , Elias Aydi , Matthew G. Baring , Eddie Baron , Peter G. Boorman , Mohammad Ali Boroumand , Eric Borowski , Floor S. Broekgaarden , Poonam Chandra , Emmanouil Chatzopoulos , Hsin-Yu Chen , Kelly A. Chipps , Francesca Civano , Luca Comisso , Alejandro Cárdenas-Avendaño , Phong Dang , Catherine M. Deibel , Tarraneh Eftekhari , Courey Elliott , Ryan J. Foley , Christopher J. Fontes , Amy Gall , Gwendolyn R. Galleher , Gabriela Gonzalez , Fan Guo , Maria C. Babiuc Hamilton , J. Patrick Harding , Joseph Henning , Falk Herwig , William Raphael Hix , Anna Y. Q. Ho , Kelly Holley-Bockelmann , Rebekah Hounsell , C. Michelle Hui , Thomas Brian Humensky , Aimee Hungerford , Robert I. Hynes , Weidong Jin , Heather Johns , Maria Gatu Johnson , Jamie A. Kennea , Carolyn Kuranz , Gavin P. Lamb , Kristina D. Launey , Tiffany R. Lewis , Ioannis Liodakis , Daniel Livescu , Stuart Loch , Nicholas R. MacDonald , Thomas Maccarone , Lea Marcotulli , Athina Meli , Bronson Messer , M. Coleman Miller , Valarie Milton , Elias R. Most , Darin C. Mumma , Matthew R. Mumpower , Michela Negro , Eliza Neights , Peter Nugent , Dheeraj R Pasham , David Radice , Bindu Rani , Jocelyn S. Read , Rene Reifarth , Emily Reily , Lauren Rhodes , Andrea Richard , Paul M. Ricker , Christopher J. Roberts , Hendrik Schatz , Peter Shawhan , Endre Takacs , John A. Tomsick , Aaron C. Trigg , Todd Urbatsch , Nicole Vassh , V. Ashley Villar , Zorawar Wadiasingh , Gaurav Waratkar , Michael Zingale

Modern scientific data mainly consist of huge datasets gathered by a very large number of techniques and stored in very diversified and often incompatible data repositories. More in general, in the e-science environment, it is considered as…

Instrumentation and Methods for Astrophysics · Physics 2010-10-20 M. Brescia , G. Longo , F. Pasian

The recent explosion of recorded digital data and its processed derivatives threatens to overwhelm researchers when analysing their experimental data or when looking up data items in archives and file systems. While current hardware…

Observational astronomy has changed drastically in the last decade: manually driven target-by-target instruments have been replaced by fully automated robotic telescopes. Data acquisition methods have advanced to the point that terabytes of…

Astrophysics lies at the crossroads of big datasets (such as the Large Synoptic Survey Telescope and Gaia), open source software to visualize and interpret high dimensional datasets (such as Glue, WorldWide Telescope, and OpenSpace), and…

There is an increasing number of large, digital, synoptic sky surveys, in which repeated observations are obtained over large areas of the sky in multiple epochs. Likewise, there is a growth in the number of (often automated or robotic)…

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

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