Yihua Yan - Böcker
Visar alla böcker från författaren Yihua Yan. Handla med fri frakt och snabb leverans.
3 produkter
3 produkter
1 053 kr
Skickas inom 11-20 vardagar
The Sun and other stars eject large clouds of plasma and magnetic fields on a continual basis. They are accelerated to high speeds and then become capable of producing highly energetic charged particles and disrupting the magnetospheres of planets such as the Earth. This proceeding reflects recent attempts to understand these processes as well as how the magnetic evolution at the base of the corona can cause these events, and how stars are capable of rapidly releasing energy in the form of mass ejections. With contributions by leading scientists, it is a valuable resource for professional astronomers and their graduate students.
936 kr
Skickas inom 11-20 vardagar
Discussing the most important results of recent studies of cosmic dynamo processes, this volume covers advances in dynamo theories and numerical simulations, links between dynamos and turbulence, the origin of magnetic fields, and current and future observational projects. An important asset for advanced students and researchers.
588 kr
Skickas inom 10-15 vardagar
The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive solar observation data, to solve the tasks of data archiving/classification, object detection and recognition.Astronomical study starts with imaging from recorded raw data, followed by image processing, such as image reconstruction, inpainting and generation, to enhance imaging quality. We study deep learning for solar image processing. First, image deconvolution is investigated for synthesis aperture imaging. Second, image inpainting is explored to repair over-saturated solar image due to light intensity beyond threshold of optical lens. Third, image translation among UV/EUV observation of the chromosphere/corona, Ha observation of the chromosphere and magnetogram of the photosphere is realized by using GAN, exhibiting powerful image domain transfer ability among multiple wavebands and different observation devices. It can compensate the lack of observation time or waveband. In addition, time series model, e.g., LSTM, is exploited to forecast solar burst and solar activity indices.This book presents a comprehensive overview of the deep learning applications in solar astronomy. It is suitable for the students and young researchers who are major in astronomy and computer science, especially interdisciplinary research of them.