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Gravitational Wave Science With Machine Learning


Gravitational Wave Science With Machine Learning
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Gravitational Wave Science With Machine Learning


Gravitational Wave Science With Machine Learning
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Author : Elena Cuoco
language : en
Publisher: Springer Nature
Release Date : 2025-04-11

Gravitational Wave Science With Machine Learning written by Elena Cuoco and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Science categories.


This book highlights the state of the art of machine learning applied to the science of gravitational waves. The main topics of the book range from the search for astrophysical gravitational wave signals to noise suppression techniques and control systems using machine learning-based algorithms. During the four years of work in the COST Action CA17137-A network for Gravitational Waves, Geophysics and Machine Learning (G2net), the collaboration produced several original publications as well as tutorials and lectures in the training schools we organized. The book encapsulates the immense amount of finding and achievements. It is a timely reference for young researchers approaching the analysis of data from gravitational wave experiments, with alternative approaches based on the use of artificial intelligence techniques.



Gravitational Wave Science


Gravitational Wave Science
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Author : William Brown
language : en
Publisher: Publifye AS
Release Date : 2025-02-27

Gravitational Wave Science written by William Brown and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Science categories.


Gravitational Wave Science explores the groundbreaking field of gravitational wave astronomy, a revolutionary method of ""listening"" to the universe through ripples in spacetime. These gravitational waves, generated by accelerating massive objects like black holes and neutron stars, provide unique insights into cosmic events previously unobservable. This book traces the historical development from Einstein's general relativity to the present day, revealing how gravitational wave astronomy enhances our understanding of astrophysical processes and confirms theoretical predictions. The book begins with the theoretical framework, including Einstein’s field equations, before detailing the technology behind detectors like LIGO, Virgo, and KAGRA. Subsequent chapters focus on specific astrophysical sources and future space-based interferometers. Readers will discover how the analysis of real data from gravitational wave observatories, coupled with simulations, allows scientists to study black hole mergers and neutron star collisions. Concluding with the latest discoveries and implications for cosmology, the book emphasizes the interdisciplinary nature of gravitational wave science, drawing connections to astrophysics, cosmology, and nuclear physics. This comprehensive approach makes it valuable for graduate students, researchers, and anyone with a technical background seeking to understand this transformative area of physics.



Artificial Intelligence For Science A Deep Learning Revolution


Artificial Intelligence For Science A Deep Learning Revolution
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Author : Alok Choudhary
language : en
Publisher: World Scientific
Release Date : 2023-03-21

Artificial Intelligence For Science A Deep Learning Revolution written by Alok Choudhary and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.


This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.



Advanced Interferometric Gravitational Wave Detectors In 2 Volumes


Advanced Interferometric Gravitational Wave Detectors In 2 Volumes
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Author : David Reitze
language : en
Publisher: World Scientific
Release Date : 2019-03-25

Advanced Interferometric Gravitational Wave Detectors In 2 Volumes written by David Reitze and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-25 with Science categories.


The detection of gravitational waves in 2015 has been hailed a scientific breakthrough and one of the most significant scientific discoveries of the 21st century. Gravitational-wave physics and astronomy are emerging as a new frontier in understanding the universe.Advanced Interferometric Gravitational-Wave Detectors brings together many of the world's top experts to deliver an authoritative and in-depth treatment on current and future detectors. Volume I is devoted to the essentials of gravitational-wave detectors, presenting the physical principles behind large-scale precision interferometry, the physics of the underlying noise sources that limit interferometer sensitivity, and an explanation of the key enabling technologies that are used in the detectors. Volume II provides an in-depth look at the Advanced LIGO and Advanced Virgo interferometers, as well as examining future interferometric detector concepts. This two-volume set will provide students and researchers the comprehensive background needed to understand gravitational-wave detectors.



Ai For Physics


Ai For Physics
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Author : Volker Knecht
language : en
Publisher: CRC Press
Release Date : 2022-08-29

Ai For Physics written by Volker Knecht and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-29 with Computers categories.


Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificial intelligence (AI) across the spectrum of physical sciences. Focusing in particular on AI's ability to extract patterns from data, known as machine learning (ML), the book includes a chapter on important machine learning algorithms and their respective applications in physics. It then explores the use of ML across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything. The book covers such applications as the search for new particles and the detection of gravitational waves from the merging of black holes, and concludes by discussing what the future may hold.



Compact Objects In The Universe


Compact Objects In The Universe
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Author : Eleftherios Papantonopoulos
language : en
Publisher: Springer Nature
Release Date : 2024-07-16

Compact Objects In The Universe written by Eleftherios Papantonopoulos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Science categories.


The main objective of this volume is to discuss the physical properties, observational signals and various probes of compact objects in the Universe. These include black holes, neutron stars, and exotic objects studied in alternative theories of gravity. The text is mainly addressed to postgraduate students and young researchers with the aim of introducing them to these very challenging topics.



Handbook Of Gravitational Wave Astronomy


Handbook Of Gravitational Wave Astronomy
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Author : Cosimo Bambi
language : en
Publisher: Springer Nature
Release Date : 2022-07-02

Handbook Of Gravitational Wave Astronomy written by Cosimo Bambi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-02 with Science categories.


This handbook provides an updated comprehensive description of gravitational wave astronomy. In the first part, it reviews gravitational wave experiments, from ground and space based laser interferometers to pulsar timing arrays and indirect detection from the cosmic microwave background. In the second part, it discusses a number of astrophysical and cosmological gravitational wave sources, including black holes, neutron stars, possible more exotic objects, and sources in the early Universe. The third part of the book reviews the methods to calculate gravitational waveforms. The fourth and last part of the book covers techniques employed in gravitational wave astronomy data analysis. This book represents both a valuable resource for graduate students and an important reference for researchers in gravitational wave astronomy.



Information For A Better World Normality Virtuality Physicality Inclusivity


Information For A Better World Normality Virtuality Physicality Inclusivity
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Author : Isaac Sserwanga
language : en
Publisher: Springer Nature
Release Date : 2023-03-09

Information For A Better World Normality Virtuality Physicality Inclusivity written by Isaac Sserwanga and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-09 with Computers categories.


This two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023. The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.



Artificial Intelligence In Science Challenges Opportunities And The Future Of Research


Artificial Intelligence In Science Challenges Opportunities And The Future Of Research
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2023-06-26

Artificial Intelligence In Science Challenges Opportunities And The Future Of Research written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-26 with categories.


The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI.



Opportunities From The Integration Of Simulation Science And Data Science


Opportunities From The Integration Of Simulation Science And Data Science
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2018-07-31

Opportunities From The Integration Of Simulation Science And Data Science written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-31 with Computers categories.


Convergence has been a key topic of discussion about the future of cyberinfrastructure for science and engineering research. Convergence refers both to the combined use of simulation and data-centric techniques in science and engineering research and the possibilities for a single type of cyberinfrastructure to support both techniques. The National Academies of Science, Engineering, and Medicine convened a Workshop on Converging Simulation and Data-Driven Science on May 10, 2018, in Washington, D.C. The workshop featured speakers from universities, national laboratories, technology companies, and federal agencies who addressed the potential benefits and limitations of convergence as they relate to scientific needs, technological capabilities, funding structures, and system design requirements. This publication summarizes the presentations and discussions from the workshop.