L3.1 Feynman Calculus: Introduction

MIT OpenCourseWare · Beginner ·📐 ML Fundamentals ·5y ago

Key Takeaways

The video introduces Feynman calculus, recapping the discussion of elementary particles, force carriers, and interactions from the first three weeks of the course, and sets the stage for a quantitative discussion of particle dynamics using Feynman diagrams and rules.

Full Transcript

welcome back to 8701 so we are going to start a new chapter in this class feinman calculus the purpose of this very first introduction is to just set the stage and we do this by recapping what we'll discuss so far in the first three weeks of this course so first we introduce the player in the field the elementary particles the meta particles and the force carriers um we have seen that there is regeneration of fermions that has leptons and quarks we have seen that they in principle interact in different ways um with those force carriers we have seen that there are three kinds of charges or three kinds of interactions um the electromagnetic interaction the weak interaction and the strong interaction um then we moved on and had a qualitative a quantitative discussion of relativistic kinematics uh so there's quite a set of useful problems we can look at for example we're wondering how much energy does my approacher need in a beam on a fixed target where we want to produce anti-protons so those problems we were able to discuss and quantitatively figure out what the answer's answers to those questions are then we looked at fireman diagram we are able to you know read them and understand what they principally mean and then we had a discussion last week on symmetries we introduced parity we introduced charge conjugation we looked at cp and cp violation we had a qualitative discussion on the case in scattering uh we defined what a geometrical cross section is and now we are really starting the quantitative discussion of particle dynamics we do this now in the next video by introducing femi's golden rule and then we study a toy theory which is simplified such that the algebra involved is not going to be too much of a hustle so we can focus on understanding or following findman rules in order to calculate the k rates and scattering cross sections

Original Description

MIT 8.701 Introduction to Nuclear and Particle Physics, Fall 2020 Instructor: Markus Klute View the complete course: https://ocw.mit.edu/8-701F20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60Do91PdN978llIsvjKW0au A brief introduction to Feynman calculus. Starting the quantitative discussion of particle dynamics License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from MIT OpenCourseWare · MIT OpenCourseWare · 0 of 60

← Previous Next →
1 21. Post Trade Clearing, Settlement & Processing
21. Post Trade Clearing, Settlement & Processing
MIT OpenCourseWare
2 10. Financial System Challenges & Opportunities
10. Financial System Challenges & Opportunities
MIT OpenCourseWare
3 7. Technical Challenges
7. Technical Challenges
MIT OpenCourseWare
4 3. Blockchain Basics & Cryptography
3. Blockchain Basics & Cryptography
MIT OpenCourseWare
5 19. Primary Markets, ICOs & Venture Capital, Part 1
19. Primary Markets, ICOs & Venture Capital, Part 1
MIT OpenCourseWare
6 1. Introduction for 15.S12 Blockchain and Money, Fall 2018
1. Introduction for 15.S12 Blockchain and Money, Fall 2018
MIT OpenCourseWare
7 Chalk Radio, A Podcast about Inspired Teaching at MIT (Teaser)
Chalk Radio, A Podcast about Inspired Teaching at MIT (Teaser)
MIT OpenCourseWare
8 Nuclear Gets Personal with Prof. Michael Short (S1:E1)
Nuclear Gets Personal with Prof. Michael Short (S1:E1)
MIT OpenCourseWare
9 How Africa Has Been Made to Mean with Prof. Amah Edoh (S1:E2)
How Africa Has Been Made to Mean with Prof. Amah Edoh (S1:E2)
MIT OpenCourseWare
10 Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)
Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)
MIT OpenCourseWare
11 Social Impact at Scale, One Project at a Time with Dr. Anjali Sastry (S1:E4)
Social Impact at Scale, One Project at a Time with Dr. Anjali Sastry (S1:E4)
MIT OpenCourseWare
12 Film is for Everyone with Prof. David Thorburn (S1:E5)
Film is for Everyone with Prof. David Thorburn (S1:E5)
MIT OpenCourseWare
13 Lecture 12: Aircraft Performance
Lecture 12: Aircraft Performance
MIT OpenCourseWare
14 Lecture 3: Learning to Fly
Lecture 3: Learning to Fly
MIT OpenCourseWare
15 Lecture 13:  Interpreting Weather Data
Lecture 13: Interpreting Weather Data
MIT OpenCourseWare
16 Lecture 21: Weather Minimums and Final Tips
Lecture 21: Weather Minimums and Final Tips
MIT OpenCourseWare
17 Hand-on, Minds On with Dr. Christopher Terman (S1:E6)
Hand-on, Minds On with Dr. Christopher Terman (S1:E6)
MIT OpenCourseWare
18 Part 4: Eigenvalues and Eigenvectors
Part 4: Eigenvalues and Eigenvectors
MIT OpenCourseWare
19 Part 5: Singular Values and Singular Vectors
Part 5: Singular Values and Singular Vectors
MIT OpenCourseWare
20 Part 3: Orthogonal Vectors
Part 3: Orthogonal Vectors
MIT OpenCourseWare
21 Part 2: The Big Picture of Linear Algebra
Part 2: The Big Picture of Linear Algebra
MIT OpenCourseWare
22 Part 1: The Column Space of a Matrix
Part 1: The Column Space of a Matrix
MIT OpenCourseWare
23 Intro: A New Way to Start Linear Algebra
Intro: A New Way to Start Linear Algebra
MIT OpenCourseWare
24 9. Chromatin Remodeling and Splicing
9. Chromatin Remodeling and Splicing
MIT OpenCourseWare
25 28. Visualizing Life - Fluorescent Proteins
28. Visualizing Life - Fluorescent Proteins
MIT OpenCourseWare
26 20. Roth's theorem III: polynomial method and arithmetic regularity
20. Roth's theorem III: polynomial method and arithmetic regularity
MIT OpenCourseWare
27 8. Szemerédi's graph regularity lemma III: further applications
8. Szemerédi's graph regularity lemma III: further applications
MIT OpenCourseWare
28 19. Roth's theorem II: Fourier analytic proof in the integers
19. Roth's theorem II: Fourier analytic proof in the integers
MIT OpenCourseWare
29 12. Pseudorandom graphs II: second eigenvalue
12. Pseudorandom graphs II: second eigenvalue
MIT OpenCourseWare
30 1. A bridge between graph theory and additive combinatorics
1. A bridge between graph theory and additive combinatorics
MIT OpenCourseWare
31 Special Episode: Teaching Remotely During Covid-19 with Prof. Justin Reich
Special Episode: Teaching Remotely During Covid-19 with Prof. Justin Reich
MIT OpenCourseWare
32 Spring 2020 Update from Dean Rajagopal
Spring 2020 Update from Dean Rajagopal
MIT OpenCourseWare
33 S1E7: Unpacking Misconceptions about Language & Identities with Prof. Michel DeGraff
S1E7: Unpacking Misconceptions about Language & Identities with Prof. Michel DeGraff
MIT OpenCourseWare
34 Climate 101 Live
Climate 101 Live
MIT OpenCourseWare
35 Welcome for Volunteers (for EarthDNA's Climate 101)
Welcome for Volunteers (for EarthDNA's Climate 101)
MIT OpenCourseWare
36 Learning to Fly with Drs. Philip Greenspun & Tina Srivastava (S1:E8)
Learning to Fly with Drs. Philip Greenspun & Tina Srivastava (S1:E8)
MIT OpenCourseWare
37 Thinking Like an Economist with Prof. Jonathan Gruber (S1:E9)
Thinking Like an Economist with Prof. Jonathan Gruber (S1:E9)
MIT OpenCourseWare
38 2. Cyber Network Data Processing; AI Data Architecture
2. Cyber Network Data Processing; AI Data Architecture
MIT OpenCourseWare
39 1. Artificial Intelligence and Machine Learning
1. Artificial Intelligence and Machine Learning
MIT OpenCourseWare
40 2: Resistor Capacitor Circuit and Nernst Potential - Intro to Neural Computation
2: Resistor Capacitor Circuit and Nernst Potential - Intro to Neural Computation
MIT OpenCourseWare
41 14: Rate Models and Perceptrons - Intro to Neural Computation
14: Rate Models and Perceptrons - Intro to Neural Computation
MIT OpenCourseWare
42 4: Hodgkin-Huxley Model Part 1 - Intro to Neural Computation
4: Hodgkin-Huxley Model Part 1 - Intro to Neural Computation
MIT OpenCourseWare
43 18: Recurrent Networks - Intro to Neural Computation
18: Recurrent Networks - Intro to Neural Computation
MIT OpenCourseWare
44 3: Resistor Capacitor Neuron Model - Intro to Neural Computation
3: Resistor Capacitor Neuron Model - Intro to Neural Computation
MIT OpenCourseWare
45 15: Matrix Operations - Intro to Neural Computation
15: Matrix Operations - Intro to Neural Computation
MIT OpenCourseWare
46 13: Spectral Analysis Part 3 - Intro to Neural Computation
13: Spectral Analysis Part 3 - Intro to Neural Computation
MIT OpenCourseWare
47 16: Basis Sets - Intro to Neural Computation
16: Basis Sets - Intro to Neural Computation
MIT OpenCourseWare
48 20: Hopfield Networks - Intro to Neural Computation
20: Hopfield Networks - Intro to Neural Computation
MIT OpenCourseWare
49 8: Spike Trains - Intro to Neural Computation
8: Spike Trains - Intro to Neural Computation
MIT OpenCourseWare
50 7: Synapses - Intro to Neural Computation
7: Synapses - Intro to Neural Computation
MIT OpenCourseWare
51 19: Neural Integrators - Intro to Neural Computation
19: Neural Integrators - Intro to Neural Computation
MIT OpenCourseWare
52 5: Hodgkin-Huxley Model Part 2 - Intro to Neural Computation
5: Hodgkin-Huxley Model Part 2 - Intro to Neural Computation
MIT OpenCourseWare
53 6: Dendrites - Intro to Neural Computation
6: Dendrites - Intro to Neural Computation
MIT OpenCourseWare
54 17: Principal Components Analysis_ - Intro to Neural Computation
17: Principal Components Analysis_ - Intro to Neural Computation
MIT OpenCourseWare
55 12: Spectral Analysis Part 2 - Intro to Neural Computation
12: Spectral Analysis Part 2 - Intro to Neural Computation
MIT OpenCourseWare
56 11: Spectral Analysis Part 1 - Intro to Neural Computation
11: Spectral Analysis Part 1 - Intro to Neural Computation
MIT OpenCourseWare
57 9: Receptive Fields - Intro to Neural Computation
9: Receptive Fields - Intro to Neural Computation
MIT OpenCourseWare
58 10: Time Series - Intro to Neural Computation
10: Time Series - Intro to Neural Computation
MIT OpenCourseWare
59 1: Course Overview and Ionic Currents - Intro to Neural Computation
1: Course Overview and Ionic Currents - Intro to Neural Computation
MIT OpenCourseWare
60 The Power of OER with Profs. Mary Rowe and Elizabeth Siler (S1:E10)
The Power of OER with Profs. Mary Rowe and Elizabeth Siler (S1:E10)
MIT OpenCourseWare

This video introduces Feynman calculus and sets the stage for a quantitative discussion of particle dynamics. It recaps the discussion of elementary particles, force carriers, and interactions from the first three weeks of the course.

Key Takeaways
  1. Recap the discussion of elementary particles, force carriers, and interactions
  2. Understand the purpose of Feynman calculus
  3. Learn about relativistic kinematics and its applications
  4. Study Feynman diagrams and rules
  5. Apply Fermi's golden rule to calculate cross sections
💡 Feynman calculus is a powerful tool for understanding particle dynamics and calculating cross sections.

Related Reads

📰
Eigenvalues and Eigenvectors — Deep Dive + Problem: Dictionary Merger
Learn about eigenvalues and eigenvectors and their importance in linear algebra and computer vision
Dev.to AI
📰
Why I Built an AI Specifically for Bond Markets
Learn how to build an AI for bond market analysis and its importance in finance
Medium · Data Science
📰
Building an Unbeatable Tic-Tac-Toe AI with the Minimax Algorithm
Learn to build an unbeatable Tic-Tac-Toe AI using the Minimax algorithm, a fundamental concept in game theory and artificial intelligence.
Hackernoon
📰
SMOTE from scratch: fixing imbalanced data without just copy-pasting rows
Learn to implement SMOTE from scratch to fix imbalanced data, a crucial technique for building robust fraud detectors and other classifiers
Dev.to · Devanshu Biswas
Up next
Arrays vs Lists: What AI Actually Prefers | Common Tech Interview Questions
SCALER
Watch →