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This book takes the readers through the science behind particle accelerators, colliders and detectors: the physics principles that each stage of the development of particle accelerators helped to reveal, and the particles they helped to discover. The book culminates with a description of the Large Hadron Collider, one of the world's largest and most complex machines operating in a 27-km circumference tunnel near Geneva.

The book provides the material honestly without misrepresenting the science for the sake of excitement or glossing over difficult notions. The principles behind...

The book presents pedagogical reviews of important topics on high energy physics to the students and researchers in particle physics. The book also discusses topics on the Quark Gluon plasma, thermal field theory, perturbative quantum chromodynamics, anomalies and cosmology. Students of particle physics need to be well-equipped with basic understanding of many concepts underlying the standard models of particle physics and cosmology. This is particularly true today when experimental results from colliders, such as large hadron collider (LHC) and relativistic heavy ion collider (RHIC), as...

The war of 1971 was the most significant geopolitical event in the Indian subcontinent since its partition in 1947. At one swoop, it led to the creation of Bangladesh, and it tilted the balance of power between India and Pakistan steeply in favor of India. The Line of Control in Kashmir, the nuclearization of India and Pakistan, the conflicts in Siachen Glacier and Kargil, the insurgency in Kashmir, the political travails of Bangladesh--all can be traced back to the intense nine months in 1971.

Against the grain of received wisdom, Srinath Raghavan contends that far from being a...

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface.

• Comprehensively presents the various...