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Astro2020 Science White Paper: The Next Decade of Astroinformatics and Astrostatistics | | A.Siemiginowska
; G. Eadie
; I. Czekala
; E. Feigelson
; E.B. Ford
; V. Kashyap
; M. Kuhn
; T.Loredo
; M.Ntampaka
; A. Stevens
; A. Avelino
; K. Borne
; T. Budavari
; B. Burkhart
; J. Cisewski-Kehe
; F. Civano
; I. Chilingarian
; D.A. van Dyk
; G. Fabbiano
; D. P. Finkbeiner
; D. Foreman-Mackey
; P. Freeman
; A. Fruscione
; A.A. Goodman
; M. Graham
; H.M. Guenther
; J. Hakkila
; L. Hernquist
; D. Huppenkothen
; D. J. James
; C. Law
; J. Lazio
; T. Lee
; M. López-Morales
; A. A. Mahabal
; K. Mandel
; X.L. Meng
; J. Moustakas
; D. Muna
; J. E. G. Peek
; G.Richards
; S. K.N. Portillo
; J. Scargle
; R. S. de Souza
; J. S. Speagle
; K. G. Stassun
; D. C. Stenning
; S. R. Taylor
; G. R. Tremblay
; V. Trimble
; P.A. Yanamandra-Fisher
; C. A. Young
; | | Date: |
15 Mar 2019 | | Abstract: | Over the past century, major advances in astronomy and astrophysics have been
largely driven by improvements in instrumentation and data collection. With the
amassing of high quality data from new telescopes, and especially with the
advent of deep and large astronomical surveys, it is becoming clear that future
advances will also rely heavily on how those data are analyzed and interpreted.
New methodologies derived from advances in statistics, computer science, and
machine learning are beginning to be employed in sophisticated investigations
that are not only bringing forth new discoveries, but are placing them on a
solid footing. Progress in wide-field sky surveys, interferometric imaging,
precision cosmology, exoplanet detection and characterization, and many
subfields of stellar, Galactic and extragalactic astronomy, has resulted in
complex data analysis challenges that must be solved to perform scientific
inference. Research in astrostatistics and astroinformatics will be necessary
to develop the state-of-the-art methodology needed in astronomy. Overcoming
these challenges requires dedicated, interdisciplinary research. We recommend:
(1) increasing funding for interdisciplinary projects in astrostatistics and
astroinformatics; (2) dedicating space and time at conferences for
interdisciplinary research and promotion; (3) developing sustainable funding
for long-term astrostatisics appointments; and (4) funding infrastructure
development for data archives and archive support, state-of-the-art algorithms,
and efficient computing. | | Source: | arXiv, 1903.6796 | | Services: | Forum | Review | PDF | Favorites | |
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