Analytical Data Approximation in Nuclear and Neutron Physics , written by outstanding scientists Vladimir Nikolaevich Vinogradov , Evgeny Vladimirovich Gai and Nikolai Semenovich Rabotnov , It is a treasure for all. CM who is interested in complex physics issues , especially in the field of nuclear and neutron research. This publication is an in-depth analysis and systematization of methods of analytical data approximation, which makes it an indispensable tool for both students and professionals in this field. The book covers a wide range of topics related to nuclear physics, including the theory of neutron interaction with matter, methods of processing experimental data and their interpretation. The authors share their knowledge and experience, offering readers not only theoretical foundations, but also practical recommendations for the use of analytical methods in real research. Grapes, Guy and Robotnov use clear and accessible language, which allows even those who are just starting their way in nuclear physics to understand complex concepts and ideas. This book will be especially useful for graduate students, researchers and teachers working in the field of physics, as well as anyone interested in modern methods of data analysis. It can be an excellent addition to training courses in nuclear physics and related disciplines, as well as serve as a basis for research and development. Readers passionate about physics, mathematics and engineering will find in it many interesting ideas and approaches that can be applied in their own projects. The topics raised in the book range from the foundations of nuclear reaction theory to complex methods of processing experimental data. The authors emphasize the importance of accuracy and reliability of data in nuclear physics, which makes this work relevant and in demand in the context of modern scientific progress. The book also addresses issues related to the application of nuclear physics in various fields such as medicine, energy, and safety, highlighting its interdisciplinary nature. The style of the authors is characterized by deep analytical and scientific rigor, which makes the text not only informative, but also fascinating to read. Vinogradov, Guy and Robotnov are known for their previous work, which also deals with nuclear physics and mathematical methods in science. Their experience and authority in this area give the book additional value and trust from readers. If you are looking for books on nuclear physics, neutron research or analytical data processing techniques, Analytical Data Approximation in Nuclear and Neutron Physics will be not only a useful guide for you, but also a source of inspiration for further research. This work not only expands the horizons of knowledge, but also opens up new opportunities for the application of theoretical knowledge in practice. In conclusion, this edition is not just a book, but a whole world filled with deep knowledge and practical skills that will help you become an expert in nuclear and neutron physics. Do not miss the opportunity to immerse yourself in this fascinating and complex world of science, which is offered to us by the authors of “Analytical data approximation in nuclear and neutron physics”.