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Astronomy

Astronomy is the study of everything in the universe beyond Earth’s atmosphere. That includes objects we can see with our naked eyes, like the Sun, the Moon, the planets, and the stars. It also contains objects we can only see with telescopes or other instruments, like faraway galaxies and tiny particles. And it even includes questions about things we can't see, like dark matter and energy.

Papers

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Showing 176–200 of 395 papers

TitleStatusHype
Passive Inter-Photon Imaging—0
Perception of Misalignment States for Sky Survey Telescopes with the Digital Twin and the Deep Neural Networks—0
Performance Bounds for Cooperative Localisation in the Starlink Network—0
Performance Evaluation of Infrared Image Enhancement Techniques—0
Photon-Limited Deblurring using Algorithm Unrolling—0
The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness—0
Poissonian Blurred Image Deconvolution by Framelet based Local Minimal Prior—0
Poisson noise reduction with non-local PCA—0
Post-resonance reflections break the loss-vs-phase-resolution trade-off in microwave electronics—0
Predicting the Age of Astronomical Transients from Real-Time Multivariate Time Series—0
Prediction of Stellar Age with the Help of Extra-Trees Regressor in Machine Learning—0
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model—0
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16)—0
PSF field learning based on Optimal Transport Distances—0
Pulsar Candidate Identification with Artificial Intelligence Techniques—0
Quantifying the Cognitive Extent of Science—0
Quantum Machine Learning for Radio Astronomy—0
Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology—0
CLEANing Cygnus A deep and fast with R2D2—0
R2D2 image reconstruction with model uncertainty quantification in radio astronomy—0
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
Radiometer Calibration using Machine Learning—0
Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning—0
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data—0
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