Results 21 to 30 of about 5,261,538 (109)
A Geometric Approach to Estimate Background in Astronomical Images
The Astrophysical Journal Supplement SeriesEstimating the true background in an astronomical image is fundamental to detecting faint sources. In a typical low-photon-count astronomical image, such as in the far- and near-ultraviolet wavelength ranges, conventional methods relying on 3 σ clipping ...
Pushpak Pandey, Kanak Saha
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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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The Astrophysical JournalMolecular emission from the galactic and extragalactic interstellar medium (ISM) is often used to determine the physical conditions of the dense gas. However, even from spatially resolved regions, the observed molecules do not necessarily arise from a ...
Damien de Mijolla +3 more
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Regression for Astronomical Data with Realistic Distributions, Errors, and Nonlinearity
The Astronomical JournalWe have developed a new regression technique, the maximum likelihood (ML)–based method and its variant, the Kolmogorov–Smirnov (KS) test–based method, designed to obtain unbiased regression results from typical astronomical data. A normalizing flow model
Tao Jing, Cheng Li
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Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph
The Planetary Science Journal, 2023 We map the surface of Pluto using an unsupervised machine-learning technique using the near-infrared observations of the LEISA/Ralph instrument on board NASA’s New Horizons spacecraft.
A. Emran +5 more
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AstroM3: A Self-supervised Multimodal Model for Astronomy
The Astronomical JournalWhile machine-learned models are now routinely employed to facilitate astronomical inquiry, model inputs tend to be limited to a primary data source (namely images or time series) and, in the more advanced approaches, some metadata.
M. Rizhko, J. S. Bloom
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The changing landscape of astrostatistics and astroinformatics
, 2016 The 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.
Eric D. Feigelson
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The Astrophysical Journal Supplement SeriesThe observing strategy (OS) of an astronomical survey influences the degree to which its resulting data can be used to accomplish any science goal, necessitating upcoming programs, including those on the Rubin and Roman telescopes, to solicit metrics in ...
Alex I. Malz +4 more
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Statistical Properties of a Polarization Vector’s Ellipticity Angle
The Astrophysical JournalThe orientation of a polarization vector on the Poincaré sphere is defined by its position angle (PA) and ellipticity angle (EA). The radio emission from pulsars, magnetars, and fast radio bursts can be elliptically polarized, and measurements of the EA ...
M. M. McKinnon
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The Astrophysical JournalMany astronomical surveys prompt follow-up observations, but the decision process through which candidates are selected for follow-up can be difficult to model. This poses a challenge when inferring properties of the intrinsic population of astrophysical
Reed Essick, Amanda M. Farah
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