Results 31 to 40 of about 29,249,487 (323)
Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses [PDF]
, 2007 In performing a Bayesian analysis of astronomical data, two difficult problems often emerge. First, in estimating the parameters of some model for the data, the resulting posterior distribution may be multimodal or exhibit pronounced (curving ...
F. Feroz, M. Hobson
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Methods of Astronomical Navigation [PDF]
Journal of Navigation, 1955 I think the Institute is doing a grand job in this matter of getting to the bottom of what actually happens at sea. I give a personal ‘shabash’ to D. H. Sadler & Co. for the new Abridged Nautical Almanac, and to S. M. Burton for the first-ever really practical manual and tables, but I am now completely ‘sold’ on H.D.
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Fast Globally Optimal Catalog Matching using MIQCP
The Astronomical Journal, 2023 We propose a novel exact method to solve the probabilistic catalog matching problem faster than previously possible. Our new approach uses mixed integer programming and introduces quadratic constraints to shrink the problem by multiple orders of ...
Jacob Feitelberg +2 more
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Data-driven Image Restoration with Option-driven Learning for Big and Small Astronomical Image Datasets [PDF]
Monthly notices of the Royal Astronomical Society, 2020 Image restoration methods are commonly used to improve the quality of astronomical images. In recent years, developments of deep neural networks and increments of the number of astronomical images have evoked a lot of data-driven image restoration ...
P. Jia +4 more
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FLEXIBLE AND SCALABLE METHODS FOR QUANTIFYING STOCHASTIC VARIABILITY IN THE ERA OF MASSIVE TIME-DOMAIN ASTRONOMICAL DATA SETS [PDF]
, 2014 We present the use of continuous-time autoregressive moving average (CARMA) models as a method for estimating the variability features of a light curve, and in particular its power spectral density (PSD). CARMA models fully account for irregular sampling
B. Kelly +4 more
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Astronomical observations: a guide for allied researchers
The Open Journal of Astrophysics, 2019 Observational astrophysics uses sophisticated technology to collect and measure electromagnetic and other radiation from beyond the Earth. Modern observatories produce large, complex datasets and extracting the maximum possible information from them ...
Pauline Barmby
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Comparison of Outlier Detection Methods on Astronomical Image Data [PDF]
, 2021 Among the many challenges posed by the huge data volumes produced by the new generation of astronomical instruments there is also the search for rare and peculiar objects. Unsupervised outlier detection algorithms may provide a viable solution. In this work we compare the performances of six methods: the Local Outlier Factor, Isolation Forest, k-means ...
Lars Doorenbos +4 more
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Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images [PDF]
Publications of the Astronomical Society of the Pacific, 2019 This paper demonstrates a novel and efficient unsupervised clustering method with the combination of a self-organizing map (SOM) and a convolutional autoencoder.
Nicholas O. Ralph +10 more
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The Astronomical Journal, 2023 We present a study of the potential for convolutional neural networks (CNNs) to enable separation of astrophysical transients from image artifacts, a task known as “real–bogus” classification, without requiring a template-subtracted (or difference) image,
Tatiana Acero-Cuellar +5 more
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Method of Distributing Astronomical Predictions [PDF]
Nature, 1876 I BEG leave to observe that the very useful method of distributing astronomical predictions over a given geographical area alluded to in NATURE, vol. xiii., page 71, and ascribed there to Mr. W. S. B. Woolhouse, was already proposed by my father, J. J.
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