Results 21 to 30 of about 379 (121)
Computational AstroStatistics: Fast and Efficient Tools for Analysing Huge Astronomical Data Sources [PDF]
, 2006 Invited talk at "Statistical Challenges in Modern Astronomy III" July 18-21 2001.
R. C. Nichol +12 more
openalex +3 more sources
Efficient galaxy classification through pretraining
Frontiers in Astronomy and Space Sciences, 2023 Deep learning has increasingly been applied to supervised learning tasks in astronomy, such as classifying images of galaxies based on their apparent shape (i.e., galaxy morphology classification) to gain insight regarding the evolution of galaxies.
Jesse Schneider +2 more
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iid2022: a workshop on statistical methods for event data in astronomy
Frontiers in Astronomy and Space Sciences, 2023 We review the iid2022 workshop on statistical methods for X-ray and γ-ray astronomy and high–energy astrophysics event data in astronomy, held in Guntersville, AL, on Nov. 15–18 2022.
Eric D. Feigelson +1 more
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A New Approach to Astronomical Data Analysis Based on Multiple Variables
Advances in Astronomy, Volume 2023, Issue 1, 2023., 2023 Data analysis for a sample of celestial bodies generally is preceded by the completeness test in order to verify whether the sample objects are proper representatives of the corresponding part of the universe. A data set following a multivariate, continuous, uniform distribution is said to be “complete in space.” This paper introduces a new approach to
Prasenjit Banerjee +3 more
wiley +1 more source
Data Science Journal, 2015 The fields of Astrostatistics and Astroinformatics are vital for dealing with the big data issues now faced by astronomy. Like other disciplines in the big data era, astronomy has many V characteristics.
Yanxia Zhang, Yongheng Zhao
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Autoencoding Galaxy Spectra. II. Redshift Invariance and Outlier Detection
The Astronomical Journal, 2023 We present an unsupervised outlier detection method for galaxy spectra based on the spectrum autoencoder architecture spender , which reliably captures spectral features and provides highly realistic reconstructions for SDSS galaxy spectra.
Yan Liang +4 more
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The Farmer: A Reproducible Profile-fitting Photometry Package for Deep Galaxy Surveys
The Astrophysical Journal Supplement Series, 2023 While space-borne optical and near-infrared facilities have succeeded in delivering a precise and spatially resolved picture of our Universe, their small survey area is known to underrepresent the true diversity of galaxy populations.
J. R. Weaver +19 more
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Advances in Astronomy, Volume 2010, Issue 1, 2010., 2010 Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers. Traditional methods are often inadequate not merely because of the size in bytes of the data sets, but also because of the complexity of modern data sets.
Meyer Z. Pesenson +3 more
wiley +1 more source
Autoregressive Times Series Methods for Time Domain Astronomy
Frontiers in Physics, 2018 Celestial objects exhibit a wide range of variability in brightness at different wavebands. Surprisingly, the most common methods for characterizing time series in statistics—parametric autoregressive modeling—are rarely used to interpret astronomical ...
Eric D. Feigelson +4 more
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Ponderings on the Possible Preponderance of Perpendicular Planets
The Astrophysical Journal Letters, 2023 Misalignments between planetary orbits and the equatorial planes of their host stars are clues about the formation and evolution of planetary systems. Earlier work found evidence for a peak near 90° in the distribution of stellar obliquities, based on ...
Jared C. Siegel +2 more
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