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Large-Scale Structure of the Universe
Line intensity mapping (LIM) is an observational technique that probes the large-scale structure of the Universe by collecting light from a wide field of the sky. This book demonstrates a novel analysis method for LIM using machine learning (ML) technologies. The author develops a conditional generative adversarial network that separates designated emission signals from sources at different epochs. It thus provides, for the first time, an efficient way to extract signals from LIM data with foreground noise. The method is complementary to conventional statistical methods such as cross-correlation analysis. When applied to three-dimensional LIM data with wavelength information, high reproducibility is achieved under realistic conditions. The book further investigates how the trained machine extracts the signals, and discusses the limitation of the ML methods. Lastly an application of the LIM data to a study of cosmic reionization is presented. This book benefits students and researchers who are interested in using machine learning to multi-dimensional data not only in astronomy but also in general applications.
Big-Data-Analytics in Astronomy, Science, and Engineering
This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7–9, 2021. The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
A Few Tens au Scale Physical and Chemical Structures Around Young Low-Mass Protostars
This book characterizes the kinematic and chemical structures of disk-forming regions around low-mass protostellar sources and their interplay based on Atacama Large Millimeter/submillimeter Array (ALMA) observations. It describes the chemical evolution of molecules formed in an interstellar gas using the ALMA observations of 5 Sun-like protostars at a spatial resolution of a few tens au scale, which unveils the physical mechanism of star and planetary formation. The book reviews the author’s successful works, focusing on two key findings: (i) A drastic change in the chemical composition of the gas around the centrifugal barrier of the infalling-rotating envelopes, and (ii) the chemical composition in the disk-forming regions, which varies from source to source depending on the chemical characteristics of the parent molecular cloud. These findings are based on the fine characterization of physical structures based on careful kinematic analyses. An additional attraction is the inclusion of the skillful reviews of ALMA observatory and its observation and physical models to describe the observed gas structure.
Brewed in Japan
Spanning the earliest attempts to brew beer to the recent popularity of local craft brews, Brewed in Japan presents the first English-language exploration of beer's steady rise to become the "beverage of the masses." Alexander underscores the highly receptive nature of Japanese consumers, who adopted and domesticated beer in just a few generations, despite its entirely foreign origins. He also sheds light on the various social, cultural, and financial influences that combined to make beer Japan's leading alcoholic beverage by the 1960s. Japan's beer market is now among the most complex on earth, and it continues to evolve. Visit the author's website at www.brewedinjapan.com.
Proceedings of the 8th Pacific Rim International Conference on Advanced Materials and Processing (PRICM-8)
PRICM-8 features the most prominent and largest-scale interactions in advanced materials and processing in the Pacific Rim region. The conference is unique in its intrinsic nature and architecture which crosses many traditional discipline and cultural boundaries. This is a comprehensive collection of papers from the 15 symposia presented at this event.
