Titolo: Advanced Cosmology: Integrating Physics, Space Economy, AI, Finance, and Engineering (The SydTek University Stacks)
Editore: Independently published
Data di pubblicazione: 2025
Lingua: Inglese
ISBN 13: 9798311215565
Rilegatura: Brossura
Condizione: New

Descrizione articolo

Riassunto

This book is a comprehensive and interdisciplinary guide to modern cosmology, extending beyond traditional astrophysics to incorporate engineering, artificial intelligence (AI), computational methods, and finance. It is designed for PhD-level scholars and professionals who seek a deep understanding of the scientific, technological, and economic aspects of space exploration. The book explores cutting-edge theories in physics, advanced mathematical tools, the application of AI in cosmology, and the economic factors that shape space science.

Key Themes & Chapters
1. Foundations of Modern Cosmology

Introduces core cosmological principles, including the Big Bang theory, cosmic expansion, dark matter, and dark energy.
Derives Einstein’s field equations and the Friedmann equations, explaining how they govern the universe’s evolution.
Explores inflationary cosmology and the Lambda Cold Dark Matter (ΛCDM) model, the standard model of the universe.
Uses tensor calculus, differential geometry, and category theory to develop new mathematical frameworks for cosmology.

2. Computational Cosmology & Simulations

Demonstrates Python, R, and MATLAB for simulating cosmic expansion, galaxy formation, and gravitational waves.
Covers large-scale structure simulations, N-body gravitational calculations, and Boltzmann solvers for Cosmic Microwave Background (CMB) studies.
Shows how AI accelerates simulations, using deep learning and machine learning models to predict cosmological parameters efficiently.
Includes hands-on exercises for data science applications in cosmology, such as Monte Carlo simulations and Bayesian inference.

3. Artificial Intelligence in Cosmology & Space Science

Explores the role of AI and machine learning in data analysis, telescope automation, and space exploration.
Highlights projects like AI-driven supernova classification, cosmic anomaly detection, and gravitational wave signal filtering.
Discusses the future of self-learning AI models for autonomous space missions and robotic telescopes.
Examines AI’s potential to identify hidden patterns in deep-space observations and optimize astronomical surveys.

4. The Space Economy & Financial Frontiers

Explains how cosmological research is funded and the role of government, private sector, and philanthropy in space science.
Analyzes financial models like Net Present Value (NPV) and Internal Rate of Return (IRR) for evaluating space missions and telescopes.
Examines the rise of NewSpace (private space industry) and how it impacts future space telescopes and space-based research platforms.
Discusses potential business models for commercial space telescopes and asteroid mining and their relevance to cosmology.

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Descrizione libreria

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