Results 71 to 80 of about 486 (135)
Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models
The Astrophysical JournalAccurately measuring magnetic field strength in the interstellar medium, including giant molecular clouds, remains a significant challenge. We present a machine learning approach using denoising diffusion probabilistic models (DDPMs) to estimate magnetic
Duo Xu +5 more
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The Astrophysical JournalAn important task in the study of fast radio bursts (FRBs) remains the automatic classification of repeating and nonrepeating sources based on their morphological properties. We propose a statistical model that considers a modified logistic regression to
Antonio Herrera-Martin +10 more
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Editorial for the Special Issue “New Discoveries in Astronomical Data”
Over the past decade, astronomy has shifted from a data-starved to a data-drenched science [...
Yanxia Zhang, A-Li Luo
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The Astronomical JournalExoplanet occurrence rates facilitate comparisons between observations of planets and theoretical models of planet formation. Despite their deductive power, exoplanet occurrence rates for half the stars in the sky are missing because occurrence rate ...
Kendall Sullivan +2 more
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Squeezing Full-shape Dynamical Dark Energy Constraints with Galaxy Alignments
The Astrophysical Journal LettersRecent 2 σ –4 σ deviations from the cosmological constant ${\rm{\Lambda }}$ suggest that dark energy (DE) may be dynamical, based on baryon acoustic oscillations and full-shape galaxy clustering (FS GC) analyses.
Junsup Shim +2 more
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TLW: A Real-Time Light Curve Classification Algorithm for Transients Based on Machine Learning
The real-time light curve classification of transients is helpful in searching for rare transients. We propose a new algorithm based on machine learning, namely the Temporary Convective Network and Light Gradient Boosting Machine Combined with Weight ...
Chengzhi Liu +5 more
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Practical Guidance for Bayesian Inference in Astronomy
, 2023 In the last two decades, Bayesian inference has become commonplace in astronomy. At the same time, the choice of algorithms, terminology, notation, and interpretation of Bayesian inference varies from one sub-field of astronomy to the next, which can ...
Tak, Hyungsuk +7 more
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A Comprehensive Guide to Interpretable AI-Powered Discoveries in Astronomy
The exponential growth of astronomical data necessitates the adoption of artificial intelligence (AI) and machine learning for timely and efficient scientific discovery.
Maggie Lieu
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The Astrophysical JournalWe present a statistical analysis of the extremely bright, apparently nonrepeating fast radio burst FRB 20250316A, detected by the Canadian Hydrogen Intensity Mapping Experiment (CHIME), to assess its rarity. Using a model-agnostic framework based on the
Wen-Long Zhang, Jun-Jie Wei
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Evidence of Self-organized Criticality in the Prompt Emission of a Bright Gamma-Ray Burst
The Astrophysical Journal LettersGamma-ray bursts (GRBs) are the most energetic explosive events in the Universe, yet the physical mechanism of their prompt emission remains a mystery. In particular, it is unclear whether the energy dissipation mechanism in the GRB jet is dominated by ...
Wen-Long Zhang +20 more
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