ne.gif      NE582 Monte Carlo Analysis

Course Outline

Public files
Syllabus
 
Lecture Date Lesson Class notes section
  1/16/17 (No class - MLK holiday)  
1 1/23/17

SECTION 1: BASIC MONTE CARLO CONCEPTS
Introduction
Statistical concepts

1.1-1.5
2 1/30/17

Pseudo-random numbers
Quasi-random numbers
Direct inversion of PDFs

1.6-2.1

3 2/6/17

Other techniques for choosing from PDFs
Stratified sampling
Solving event-based problems

2.2-2.5

4 2/13/17

SECTION 2: EVENT-BASED MONTE CARLO TRANSPORT
Decisions during life of a neutron
Governing PDFS
Choosing from the PDFs
Flux estimation techniques

3.1-3.6

  2/20/17 Test#1 (covering Lectures 1-3)  
5 2/27/17

Volume, surface, and point tallies
K-effective calculations
Coding a 1D slab code

3.7-3-10

6 3/6/17

Basis of PDF-modifying variance reduction
Typical PDF-modifying variance reduction techniques
Figure of merit

4.1-4.5

  3/13/17 (No class - Spring Break)  
7 3/20/17 Basis of variance-controlling variance reduction
Cell weighting and weight windows

4.6-4.10

  3/27/17 Test#2 (covering Lectures 4 through 7)  
8 4/3/17

SECTION 3: FUNCTION-BASED MONTE CARLO TRANSPORT
Estimation of integrals
Dirac delta function estimation
Solution of an integral equation

5.1-5.5

9 4/10/17

Solution of linked integral equations
Neumann breakdown of recursive equations
Vector applications

5.6-5.9

10 4/17/17

Application of Dirac delta to forward IBE to form general algorithm
Application of PDFs to form specific algorithm
Tallies as integrals and/or point function values
Handout of takehome final

6.1-6-5

11 4/24/17

Advanced topics

  5/1/17

Takehome Final Due
(midnight)

 



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