Results 11 to 20 of about 357 (112)
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
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
doaj +1 more source
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
doaj +1 more source
A Statistical Search for a Uniform Trigger Threshold in Solar Flares from Individual Active Regions
The Astrophysical Journal, 2023 Solar flares result from the sudden release of energy deposited by subphotospheric motions into the magnetic field of the corona. The deposited energy accumulates secularly between events. One may interpret the observed event statistics as resulting from
Julian B. Carlin +2 more
doaj +1 more source
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
doaj +1 more source
The changing landscape of astrostatistics and astroinformatics [PDF]
Proceedings of the International Astronomical Union, 2016 AbstractThe history and current status of the cross-disciplinary fields of astrostatistics and astroinformatics are reviewed. Astronomers need a wide range of statistical methods for both data reduction and science analysis. With the proliferation of high-throughput telescopes, efficient large scale computational methods are also becoming essential ...
openaire +2 more sources
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds
The Astrophysical Journal, 2023 We introduce the state-of-the-art deep-learning denoising diffusion probabilistic model as a method to infer the volume or number density of giant molecular clouds (GMCs) from projected mass surface density maps.
Duo Xu +3 more
doaj +1 more source
The Astrophysical Journal, 2023 Cosmological parameters encoding our understanding of the expansion history of the universe can be constrained by the accurate estimation of time delays arising in gravitationally lensed systems.
Antoine D. Meyer +3 more
doaj +1 more source
Characterizing the Conditional Galaxy Property Distribution Using Gaussian Mixture Models
The Astrophysical Journal, 2023 Line-intensity mapping (LIM) is a promising technique to constrain the global distribution of galaxy properties. To combine LIM experiments probing different tracers with traditional galaxy surveys and fully exploit the scientific potential of these ...
Yucheng Zhang +7 more
doaj +1 more source