Analytical Data Approximation in Nuclear and Neutron Physics , written by a team of authors led by Vladimir Nikolaevich Vinogradov , Evgeny Vladimirovich Gai and Nikolai Semenovich Rabotnov , is a unique and in-depth study, Which will be of interest not only to specialists in the field of physics , but also , who seek to expand their knowledge of modern methods of data analysis in science. This work immerses the reader in the world of nuclear and neutron physics, where the accuracy and reliability of data play a key role. The authors offer readers not only theoretical calculations, but also practical approaches to analytical approximation, which makes the book useful for both students and experienced researchers. It explores various methods of data processing that allow us to extract useful information from experimental results, which is especially important in the face of the ever-increasing amounts of data that scientists face. The book will be of interest to a wide range of readers: from students and graduate students studying physics and related disciplines to professionals working in scientific laboratories and research institutes. It will be an indispensable tool for those who want to deepen their knowledge in the field of nuclear physics, as well as for specialists engaged in the processing and analysis of experimental data. If you are interested in such topics as nuclear reactions, neutron sources and their application, then this edition will be a real find for you. The topics raised in the book cover a wide range of issues, ranging from the basics of nuclear physics to modern methods of data processing. The authors pay attention to both theoretical aspects and practical applications, which makes the material accessible and understandable. An important aspect is that the book not only describes existing methods, but also offers new approaches to analytical approximation, which may be useful for further research in this area. The style of the authors is distinguished by clarity and logical presentation, which allows the reader to easily assimilate complex concepts. Vladimir Nikolaevich Vinogradov, Yevgeny Vladimirovich Gai and Nikolai Semenovich Robotnov are experienced scientists, each of whom has a significant contribution to the development of nuclear physics. Their previous work also deserves attention, and readers familiar with their research will find much new and interesting in this book. If you are looking for literature that combines in-depth analysis, practical application, and current scientific issues, Analytical Data Approximation in Nuclear and Neutron Physics will be a valuable source of knowledge for you. This book will not only expand your understanding of nuclear physics, but also equip you with the tools you need to work with data in modern research. Do not miss the opportunity to get acquainted with this outstanding work, which will certainly take a worthy place in your library and become a reliable assistant in scientific activities.