The Monte Carlo method is a basic computer simulation technique that is now widely used in nuclear reactor design/analysis. More recently, the method is gaining increasing use also in other disciplines such as various basic science and engineering problems, and socio/economic models as well. This course deals with fundamentals of the Monte Carlo methods (including related subjects of Ising models and molecular dynamics): (1) random variables and random number generation, (2) sampling procedures, (3) analog Monte Carlo, (4) non-analog Monte Carlo and variance reduction techniques, and then applies the methods to a selection of representative benchmark problems from several application areas: (5) radiation particle (neutron, g-ray, and charged particles such as electron and proton particle) transport problems, (6) bio/nuclear medicine systems design, (7) multiple integrals and integral equations, (8) molecular dynamics, atomic-scale and quantum Monte Carlo simulations for nano-tech systems, and (9) optimization problems.
- Following materials are open to enrolled students only. If you have any problem to access on materials, please contact with Teaching Assistant (Jong Woon Kim email@example.com x3859).
2003. 9. 23
Homework 1 (pdf format)
2003. 9. 30
Homework 2 (pdf format)
2003. 10. 7
Homework 3 (pdf format)
2003. 10. 14 Homework 4 (pdf format) 2003. 10. 21 Homework 5 (pdf format) 2003. 10. 28 Homework 6 (pdf format) 2003. 11. 20
Homework 7 (pdf format)
Criticality Calculations with MCNP: A Primer (pdf format)
How to log in to the workstation (pdf format)
2003. 11. 27
Homework 8 (pdf format)
You can download programs on the problem set #8
2003. 12. 16 Homework 9 (pdf format)
- Late problem sets will have 0.5 points deducted for each day. Please keep the due date.
Date Contents 2003.11.07
In the problem set #7, the unit of density input is atoms/b-cm
Refer to document "Criticality Calculations with MCNP: A Primer" for problem set #7.
We are going to have makeup class.
When: November 7 (Friday)
Time: 7:30 p.m.
Where: Rm#2424 (same class room)
In the problem set #6, the given value sf
=0.002 can be small for the problem.
Even though it is small, just use data given on the problem set #6 and try it again with sf
Submit two results and discussion.
Write down the discussion on each problem, or 5 points will be deducted on each problem
2003. 9. 23
Correction: problem set #1: 3-iv) p(x)=2x ----> p(x)= x + 1/2
There will not be any point deduction on problem 3-iv) as long as you mention the reason why we can not
solve problem 3-iv) with p(x)=2x.