دانلود کتاب علم امواج گرانشی با یادگیری ماشینی

In this collection, our objective was to curate diverse contributions highlighting innovative machine learning solutions to search and analyze gravitational waves. The past few years have witnessed a significant increase in the application of machine learning techniques within gravitational wave research, resulting in the groundbreaking use of new methodologies. Through COST Action CA17137, we assembled a multidisciplinary European team of scientists from diverse backgrounds to explore and apply innovative machine learning solutions to emerging challenges in gravitational wave research. Our work encompassed noise analysis, control techniques, and the study of astrophysical signals. This collection is designed to serve as a comprehensive resource for both newcomers and those eager to apply advanced techniques in the field. By gathering the latest advancements and insights, we aim to deepen understanding and inspire further innovation in gravitational wave science and demonstrate the transformative potential of machine learning in advancing gravitational wave research. The book features a range of contributions from our collaborative efforts, showcasing the breadth of studies and results achieved.