Results 1 to 10 of about 12,462 (143)
Computational Intelligence in Astronomy: A Survey [PDF]
International Journal of Computational Intelligence Systems, 2018 With explosive growth of the astronomical data, astronomy has become a representative data-rich discipline so as to defy traditional research methodologies and paradigm to analyze data and discover new knowledge from the data.
Ke Wang +5 more
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Computational Intelligence in Astronomy [PDF]
International Journal of Computational Intelligence Systems, 2018 Ping Guo +3 more
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COSMICA: A Novel Dataset for Astronomical Object Detection with Evaluation Across Diverse Detection Architectures [PDF]
Journal of ImagingAccurate and efficient detection of celestial objects in telescope imagery is a fundamental challenge in both professional and amateur astronomy. Traditional methods often struggle with noise, varying brightness, and object morphology.
Evgenii Piratinskii, Irina Rabaev
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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
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Grid-based Atmospheric Retrievals for Reflected-light Spectra of Exoplanets Using PSGnest
The Astronomical Journal, 2023 Techniques to retrieve the atmospheric properties of exoplanets via direct observation of their reflected light have often been limited in scope owing to computational constraints imposed by the forward-model calculations.
Nicholas Susemiehl +7 more
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José Chabás, Computational Astronomy in the Middle Ages
Aestimatio, 2022 : Astronomical tablets have been a major focus of study by historians of science since the middle of the 20th century. Building upon the pioneering work of E. S. Kennedy, O. Neugebauer, and others, recent scholars have applied a range of techniques drawn
John Steele
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Bits Missing: Finding Exotic Pulsars Using bfloat16 on NVIDIA GPUs
The Astrophysical Journal Supplement Series, 2023 The Fourier domain acceleration search (FDAS) is an effective technique for detecting faint binary pulsars in large radio astronomy data sets. This paper quantifies the sensitivity impact of reducing numerical precision in the graphics processing unit ...
Jack White +5 more
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SBI++: Flexible, Ultra-fast Likelihood-free Inference Customized for Astronomical Applications
The Astrophysical Journal Letters, 2023 Flagship near-future surveys targeting 10 ^8 –10 ^9 galaxies across cosmic time will soon reveal the processes of galaxy assembly in unprecedented resolution.
Bingjie Wang +3 more
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Scientific Reports, 2021 Several viruses of the corona family interact, via their spike (S) proteins, with human cellular receptors. Spike proteins of SARS-CoV-1 and SARS-CoV-2 virions, being structurally related but not identical, mediate attachment to the human angiotensin ...
Jorge H. Rodriguez, Akshita Gupta
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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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