
Welcome to the Universe
An Astrophysical Tour
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Narrated by:
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Michael Butler Murray
Welcome to the Universe is a personal guided tour of the cosmos by three of today's leading astrophysicists. Inspired by the enormously popular introductory astronomy course that Neil deGrasse Tyson, Michael A. Strauss, and J. Richard Gott taught together at Princeton, this book covers it all - from planets, stars, and galaxies to black holes, wormholes, and time travel.
Describing the latest discoveries in astrophysics, the informative and entertaining narrative propels you from our home solar system to the outermost frontiers of space. How do stars live and die? Why did Pluto lose its planetary status? What are the prospects of intelligent life elsewhere in the universe? How did the universe begin? Why is it expanding, and why is its expansion accelerating? Is our universe alone or part of an infinite multiverse? Answering these and many other questions, the authors open your eyes to the wonders of the cosmos, sharing their knowledge of how the universe works.
Breathtaking in scope, Welcome to the Universe is for those who hunger for insights into our evolving universe that only world-class astrophysicists can provide.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
©2016 Neil DeGrasse Tyson, Michael A. Strauss, and J. Richard Gott (P)2017 Audible, Inc.Listeners also enjoyed...




















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Annoying voice and audio math don't work
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Wonderful journey
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AUDIBLE 20 REVIEW SWEEPSTAKES ENTRY
Fantastic Tour of the Cosmos
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physics
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An enlightening experience
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a challenging but worthwhile book
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deep for the layman.
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Kaboom!
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Better suited as a hard copy book
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At the end the prediction of humanity extinction or the wall of Berlin being pulled down has a very odd logic! The author discussed about the 95% confidence interval concept to guess a life span of a concept in time series. This I believe impose the normal distribution assumption which I believe is wrong. It is like the probability of tossing a fair coin n times and each time getting head. I believe this probability distribution is not normal and does not fit the 95% confidence interval!
Very informative but too many numbers for audio book
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