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  • Huerta, E. A. (author)

Enabling real-time multi-messenger astrophysics discoveries with deep learning

  • Article/chapterEnglish2019

Publisher, publication year, extent ...

  • 2019-10-03
  • Springer Science and Business Media LLC,2019
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:su-184006
  • https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-184006URI
  • https://doi.org/10.1038/s42254-019-0097-4DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:for swepub-publicationtype

Notes

  • Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that probe the Universe using different cosmic messengers: electromagnetic waves, cosmic rays, gravitational waves and neutrinos. In this Expert Recommendation, we review the key challenges of real-time observations of gravitational wave sources and their electromagnetic and astroparticle counterparts, and make a number of recommendations to maximize their potential for scientific discovery. These recommendations refer to the design of scalable and computationally efficient machine learning algorithms; the cyber-infrastructure to numerically simulate astrophysical sources, and to process and interpret multi-messenger astrophysics data; the management of gravitational wave detections to trigger real-time alerts for electromagnetic and astroparticle follow-ups; a vision to harness future developments of machine learning and cyber-infrastructure resources to cope with the big-data requirements; and the need to build a community of experts to realize the goals of multi-messenger astrophysics. A group of experts suggests ways in which deep learning can be used to enhance the potential for discovery in multi-messenger astrophysics.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Allen, Gabrielle (author)
  • Andreoni, Igor (author)
  • Antelis, Javier M. (author)
  • Bachelet, Etienne (author)
  • Berriman, G. Bruce (author)
  • Bianco, Federica B. (author)
  • Biswas, RahulStockholms universitet,Fysikum,Oskar Klein-centrum för kosmopartikelfysik (OKC)(Swepub:su)rbisw (author)
  • CarrascoKind, Matias (author)
  • Chard, Kyle (author)
  • Cho, Minsik (author)
  • Cowperthwaite, Philip S. (author)
  • Etienne, Zachariah B. (author)
  • Fishbach, Maya (author)
  • Forster, Francisco (author)
  • George, Daniel (author)
  • Gibbs, Tom (author)
  • Graham, Matthew (author)
  • Gropp, William (author)
  • Gruendl, Robert (author)
  • Gupta, Anushri (author)
  • Haas, Roland (author)
  • Habib, Sarah (author)
  • Jennings, Elise (author)
  • Johnson, Margaret W. G. (author)
  • Katsavounidis, Erik (author)
  • Katz, Daniel S. (author)
  • Khan, Asad (author)
  • Kindratenko, Volodymyr (author)
  • Kramer, William T. C. (author)
  • Liu, Xin (author)
  • Mahabal, Ashish (author)
  • Marka, Zsuzsa (author)
  • McHenry, Kenton (author)
  • Miller, J. M. (author)
  • Moreno, Claudia (author)
  • Neubauer, M. S. (author)
  • Oberlin, Steve (author)
  • Olivas, Alexander R. (author)
  • Petravick, Donald (author)
  • Rebei, Adam (author)
  • Rosofsky, Shawn (author)
  • Ruiz, Milton (author)
  • Saxton, Aaron (author)
  • Schutz, Bernard F. (author)
  • Schwing, Alex (author)
  • Seidel, Ed (author)
  • Shapiro, Stuart L. (author)
  • Shen, Hongyu (author)
  • Shen, Yue (author)
  • Singer, Leo P. (author)
  • Sipocz, Brigitta M. (author)
  • Sun, Lunan (author)
  • Towns, John (author)
  • Tsokaros, Antonios (author)
  • Wei, Wei (author)
  • Wells, Jack (author)
  • Williams, Timothy J. (author)
  • Xiong, Jinjun (author)
  • Zhao, Zhizhen (author)
  • Stockholms universitetFysikum (creator_code:org_t)

Related titles

  • In:Nature reviews physics: Springer Science and Business Media LLC1:10, s. 600-6082522-5820

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