Seeing Science
Autor Jack Challoneren Limba Engleză Paperback – 10 oct 2022
We live among patterns of delicate beauty and exquisite chaos that our eyes can't detect; we are surrounded by invisible particles and shifting fields of matter that permeate all of space. Our very cells are intricate molecular machines, and the story of our origins stretches back through an unimaginable amount of time. How can we see the richness of what lies beyond our sensory perception? Scientists have developed visualization tools that can make the invisible visible. This bountifully illustrated book demonstrates the power of images to represent the unseeable, offering stunning visualizations of science that range from the microscopic to the incredibly vast.
With more than 200 color images and an engaging text by leading science writer Jack Challoner, How Scientists Visualize Things explains and illustrates the techniques by which scientists create visualizations of their discoveries. We see the first detection of a black hole as represented by an image from an Xray telescope, get a direct view of DNA through an electron microscope, and much more. Visualizations are also used to make sense of an avalanche of data-concisely presenting information from the 20,000 or so human genes, for example. Scientists represent complex theories in computer models, which take on a curious beauty of their own. And scientists and artists collaborate to create art from science visualizations, with intriguing results.
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Specificații
ISBN-13: 9780262544351
ISBN-10: 0262544350
Pagini: 272
Dimensiuni: 245 x 192 x 23 mm
Greutate: 0.91 kg
Editura: MIT Press Ltd
ISBN-10: 0262544350
Pagini: 272
Dimensiuni: 245 x 192 x 23 mm
Greutate: 0.91 kg
Editura: MIT Press Ltd
Notă biografică
Jack Challoner
Cuprins
Introduction: The Importance of Seeing 6
1: Making the Invisible Visible 10
2: Data, Information, Knowledge 80
3: Mathematical Models and Simulations 150
4: Art in Science 208
Endnotes 264
Index 268
Image Credits 272
1: Making the Invisible Visible 10
2: Data, Information, Knowledge 80
3: Mathematical Models and Simulations 150
4: Art in Science 208
Endnotes 264
Index 268
Image Credits 272