Lost in Math: Beauty != truth

Lost in Math: Beauty != truth

  • April 29, 2018
Table of Contents

Lost in Math: Beauty != truth

In Lost in Math, Hossenfelder delves briefly into the history of particle physics in order to explain the success of the Standard Model of particles and forces. She touches on why we’ve not had any unexplainable data from experimental particle physics for the last 50 years. She then takes us on a tour of the data that make us think we should be looking for physics that is not explained by the Standard Model—dark matter, dark energy, and cosmic inflation.

Source: arstechnica.com

Tags :
Share :
comments powered by Disqus

Related Posts

Algorithms tutorial for beginners

Algorithms tutorial for beginners

As a developer, you have the power to change the world! You can write programs that enable new technologies. You might work in software to find an earlier diagnosis of diseases.

Read More
Why symmetry gets really interesting when it is broken

Why symmetry gets really interesting when it is broken

A hypothetical alien visitor, sent to observe all of human culture – art and architecture, music and medicine, storytelling and science – would quickly conclude that we as a species are obsessed with patterns. The formal gardens of 18th-century England, the folk tales of medieval Germany and the traditional woven fabrics of Mayan civilisation have little in common, but they each owe their aesthetic appeal to being composed of smaller, identical parts arranged into a harmonious whole.

Read More
Probability Theory for Scientists and Engineers

Probability Theory for Scientists and Engineers

In this case study I attempt to untangle this pedagogical knot to illuminate the basic concepts and manipulations of probability theory and how they can be implemented in practice. Our ultimate goal is to demystify what we can calculate in probability theory and how we can perform those calculations in practice. We begin with an introduction to abstract set theory, continue to probability theory, and then move onto practical implementations without any interpretational distraction.

Read More