![]() ![]() Most current radio telescopes are radio interferometers, such as the Very Long Array (VLA), Low Frequency Array (LOFAR), or MeerKAT. 1967), which exploits large distances between two telescopes. ![]() Achieving such high angular resolutions was made possible by the advent of very long baseline interferometry (VLBI Broten et al. With radio interferometry, it is possible to obtain images of radio sources with angular resolutions of up to milliarcseconds ( Renard et al. Key words: galaxies: active / radio continuum: galaxies / methods: data analysis / techniques: image processing / techniques: interferometric Finally, we propose more advanced approaches using deep learning that include uncertainty estimates and a concept to analyze larger images. We find that source angles and sizes are well reproduced, while the recovered fluxes show substantial scatter, albeit not worse than existing methods without fine-tuning. The reconstruction performance is evaluated on clean and noisy input data by comparing the resulting predictions with the true source images. Using simulated data of radio galaxies that are composed of Gaussian components, we trained deep learning models whose reconstruction capability is quantified using various measures. The neural network architecture is inspired by super-resolution models that utilize residual blocks. To this end, we take advantage of the efficiency of convolutional neural networks to reconstruct image data from incomplete information in Fourier space. We have developed a prototype deep learning-based method that generates reproducible images in an expedient fashion. Established reconstruction methods are often time-consuming, require expert knowledge, and suffer from a lack of reproducibility. Cleaning these systematic effects is essential for the scientific use of radiointerferometric images.Īims. The sparse layouts of radio interferometers result in an incomplete sampling of the sky in Fourier space which leads to artifacts in the reconstructed images. Rhode 1Īstroparticle Physics, TU Dortmund University,Į-mail: Sternwarte, University of Hamburg,Ĭontext. Astronomical objects: linking to databases.Including author names using non-Roman alphabets.Suggested resources for more tips on language editing in the sciences Punctuation and style concerns regarding equations, figures, tables, and footnotes Across shorter distances, gravity is attractive and brings matter together – but at longer distances, dark energy takes over and drives matter further apart. Scientists will examine the distribution of matter in the universe and how it behaves across different distances. It is only by looking at the largest scales in the universe that we can detect it at all." "We know so little about it because its effect on Earth – or the Solar System, or of our own galaxy – is extremely small. "We don't know what dark energy is," Mike Seiffert, a project scientist working at NASA's Jet Propulsion Laboratory who contributed to the Euclid mission, previously told The Register. Balloon-borne telescope returns first photos in search for dark matter.Supernova peekaboo could provide clues to our universe's age. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |