Results 1 to 10 of about 77 (57)
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
Deep Learning of Quasar Lightcurves in the LSST Era
Universe, 2023 Deep learning techniques are required for the analysis of synoptic (multi-band and multi-epoch) light curves in massive data of quasars, as expected from the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST).
Andjelka B. Kovačević +8 more
doaj +1 more source
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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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
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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
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Harnessing Unresolved Lensed Quasars: The Mathematical Foundation of the Fluctuation Curve
The Astrophysical Journal, 2023 Strong gravitational lensed quasars (QSOs) have emerged as powerful and novel cosmic probes as they can deliver crucial cosmological information, such as a measurement of the Hubble constant, independent of other probes. Although the upcoming LSST survey
Satadru Bag +3 more
doaj +1 more source
A Statistical Relation between Mass, Age, and Velocity Dispersion in the Solar Neighborhood
The Astrophysical Journal, 2023 The stellar kinematics of the Galactic disk are the main factors constraining disk formation and evolution processes in the Milky Way. In this paper, we investigate a statistical relation between stellar mass, age, and velocity dispersion for stars in ...
Hossein Fatheddin, Sedighe Sajadian
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Intercomparison of Brown Dwarf Model Grids and Atmospheric Retrieval Using Machine Learning
The Astrophysical Journal, 2023 Understanding differences between substellar spectral data and models has proven to be a major challenge, especially for self-consistent model grids that are necessary for a thorough investigation of brown dwarf atmospheres.
Anna Lueber +6 more
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The Effect of Superpositions on the Planetary Nebula Luminosity Function
The Astrophysical Journal, 2023 Planetary nebula (PN) surveys in systems beyond ∼10 Mpc often find high-excitation, point-like sources with [O iii ] λ 5007 fluxes greater than the apparent bright-end cutoff of the planetary nebula luminosity function (PNLF).
Owen Chase +3 more
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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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