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Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy [PDF]
Astrophysics and cosmology are rich with data. The advent of wide-area digital cameras on large aperture telescopes has led to ever more ambitious surveys of the sky. Data volumes of entire surveys a decade ago can now be acquired in a single night and real-time analysis is often desired. Thus, modern astronomy requires big data know-how, in particular
Jan Kremer +4 more
semanticscholar +9 more sources
Gravitational wave astrophysics, data analysis and multimessenger astronomy [PDF]
This paper reviews gravitational wave sources and their detection. One of the most exciting potential sources of gravitational waves are coalescing binary black hole systems. They can occur on all mass scales and be formed in numerous ways, many of which are not understood.
Hyung Mok Lee +10 more
openaire +4 more sources
Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes [PDF]
The current generation of radio and millimeter telescopes, particularly the Atacama Large Millimeter Array (ALMA), offers enormous advances in observing capabilities. While these advances represent an unprecedented opportunity to facilitate scientific understanding, the increased complexity in the spatial and spectral structure of these ALMA data cubes
Paul Rosen 0001 +7 more
openaire +3 more sources
Bayesian Functional Data Analysis in Astronomy
Cosmic demographics—the statistical study of populations of astrophysical objects—has long relied on tools from multivariate statistics for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled in a tabular ...
Thomas Loredo +3 more
doaj +3 more sources
Data analysis challenges in transient gravitational-wave astronomy [PDF]
Gravitational waves are radiative solutions of space-time dynamics predicted by Einstein's theory of General Relativity. A world-wide array of large-scale and highly sensitive interferometric detectors constantly scrutinizes the geometry of the local space-time with the hope to detect deviations that would signal an impinging gravitational wave from a ...
Chassande-Mottin E. +3 more
openaire +5 more sources
Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy [PDF]
Markov chain Monte Carlo–based Bayesian data analysis has now become the method of choice for analyzing and interpreting data in almost all disciplines of science. In astronomy, over the past decade, we have also seen a steady increase in the number of papers that employ Monte Carlo–based Bayesian analysis.
Sanjib Sharma
openaire +4 more sources
This book presents information on the following topics: the data analysis facilities that astronomers want; time analysis in astronomy; tools for periodicity searches; graphical methods of exploratory data analysis; multivariate statistics to analyze extraterrestrial particles from the ocean floor; application of bootstrap sampling in gamma-ray ...
V. Gesù
openaire +2 more sources
COMPTEL data analysis using GammaLib and ctools [PDF]
More than 20 years after the end of NASA's Compton Gamma-Ray Observatory mission, the data collected by its Imaging Compton Telescope (COMPTEL) still provide the most comprehensive and deepest view of our Universe in MeV gamma rays.
J. Knodlseder +3 more
semanticscholar +1 more source
A Model Estimator for Noisy Compact Emission Recovery in Radio Synthesis Imaging
Reconstruction of a noisy compact emission must consider not only the point-spread function but also the effect of noise. However, the traditional threshold method in widely-used CLEAN-based algorithms finds it difficult to effectively prevent noise in ...
L. Zhang, M. Zhang, B. Wang
doaj +1 more source
The Spitzer Coverage of HSC-Deep with IRAC for Z studies (SHIRAZ). I. IRAC Mosaics
We present new Spitzer Infrared Array Camera (IRAC) 3.6 and 4.5 μ m mosaics of three fields, E-COSMOS, DEEP2-F3, and ELAIS-N1. Our mosaics include both new IRAC observations as well as reprocessed archival data in these fields.
Marianna Annunziatella +20 more
doaj +1 more source

