Results 41 to 50 of about 1,066 (128)
Statistical Issues Often Overlooked when Analyzing Astronomical Data
The Astrophysical Journal Supplement SeriesThe main topics covered in this paper are (1) controlling significance levels when applying the same hypothesis test to many (possibly millions) of datasets; (2) dealing with the fact that for very large datasets hypotheses are rejected for trivially ...
C. Koen
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Classification of Chandra X-Ray Sources in Cygnus OB2
The Astrophysical Journal Supplement Series, 2023 We have devised a predominantly Naive Bayes−based method to classify X-ray sources detected by Chandra in the Cygnus OB2 association into members, foreground objects, and background objects.
Vinay L. Kashyap +13 more
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Rigorous Analytic Solution to the Gravitational-wave Overlapping Event Rates
The Astrophysical JournalIn the era of the next-generation gravitational-wave detectors, signal overlaps will become prevalent due to the high detection rate and long signal duration, posing significant challenges to data analysis. While effective algorithms are being developed,
Ziming Wang, Zexin Hu, Lijing Shao
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Robust Estimates of Orientation between Astrometric Catalogs
The Astronomical Journal, 2023 Accurately comparing two celestial reference frames based on the observed position of a number of common objects requires to detect and appropriately process outliers, lest they spuriously influence the results.
Julien Frouard
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Multistage analysis in astrostatistics
, 2020 A sequence of statistical analyses often needs to be conducted by different groups of researchers where the output of each analysis feeds into subsequent analyses. The statistical and systematic uncertainties of estimated quantities, especially high dimensional quantities, are hard to quantify and difficult to carry forward into subsequent analyses. In
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The Astrophysical JournalA novel model of systematic errors for the regression of Poisson data is applied to hypothesis testing of nested model components with the introduction of a generalization of the Δ C statistic that applies in the presence of systematic errors. This paper
Massimiliano Bonamente +2 more
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Bayesian Unbiasing of the Gaia Space Mission Time Series Database
, 2017 21 st century astrophysicists are confronted with the herculean task of distilling the maximum scientific return from extremely expensive and complex space- or ground-based instrumental projects.
Delgado, Héctor E., Sarro, Luis M.
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The Astrophysical JournalEmulators using machine learning techniques have emerged to efficiently generate mock data matching the large survey volume for upcoming experiments, as an alternative approach to large-scale numerical simulations.
Kangning Diao, Yi Mao
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Photometric Redshift Estimation of Quasars by a Cross-modal Contrast Learning Method
The Astronomical JournalEstimating photometric redshifts (photo- z ) of quasars is crucial for measuring cosmic distances and monitoring cosmic evolution. While numerous point estimation methods have successfully determined photo- z , they often struggle with the inherently ill-
Chen Zhang +4 more
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Realizing the potential of astrostatistics and astroinformatics
, 2019 This Astro2020 State of the Profession Consideration White Paper highlights the growth of astrostatistics and astroinformatics in astronomy, identifies key issues hampering the maturation of these new subfields, and makes recommendations for structural improvements at different levels that, if acted upon, will make significant positive impacts across ...
Eadie, Gwendolyn +14 more
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