ne.gif      NE582 Monte Carlo Analysis

Course Outline

Public files
Syllabus
 
Lecture Date Lesson Class notes section
  1/15/18 (No class - MLK holiday)  
1 1/22/18

SECTION 1: BASIC MONTE CARLO CONCEPTS
Introduction
Statistical concepts

1.1-1.5
2 1/29/18

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

1.6-2.1

3 2/5/18

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

2.2-2.5

4 2/12/18

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

  2/19/18 Test#1 (covering Lectures 1-3)  
5 2/26/18

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

3.7-3-10

6 3/5/18

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

4.1-4.5

  3/12/18 (No class - Spring Break)  
7 3/19/18 Basis of variance-controlling variance reduction
Cell weighting and weight windows

4.6-4.10

  3/26/18 Test#2 (covering Lectures 4 through 7)  
8 4/2/18

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

5.1-5.5

9 4/9/18

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

5.6-5.9

10 4/16/18

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 4/23/18

Advanced topics

  5/2/18

Takehome Final Due
(midnight)

 



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