Difference between revisions of "Simulation Methods in Physics I WS 2013"

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Revision as of 13:47, 30 October 2013

Overview

Type
Lecture (2 SWS) and Tutorials (2 SWS)
Lecturer
JP Dr. Maria Fyta (Lecture); Dr. Olaf Lenz, Bibek Adhikari, Elena Minina (Tutorials)
Course language
English
Location and Time
Lecture: Thu, 11:30 - 13:00 (Seminar room ICP, Allmandring 3); Tutorials: Wed, 15:45-17:15 (Bibek), Fri, 15:45-17:15 (Elena) (CIP-Pool ICP, Allmandring 3)
Prerequisites
We expect the participants to have basic knowledge in classical and statistical mechanics, thermodynamics, and partial differential equations, as well as knowledge of a programming language (Python or C).

The lecture is accompanied by hands-on-tutorials which will take place in the CIP-Pool of the ICP, Allmandring 3. They consist of practical exercises at the computer, like small programming tasks, simulations, visualization and data analysis. The tutorials build upon each other, therefore continuous attendance is expected.

Lecture

Scope

The first part of the course intends to give an overview about modern simulation methods used in physics today. The lecture should introduce different approaches to simulate a physical systems. In this respect, rather a broad range of methods will be outlined than an exhaustive presentation of specific computational methods. Roughly, the lecture will consist of:

General overview
The first 2-3 weeks will be dedicated on the general common aspects of computer simulations, elements of statistical ensemble theory and elements of elasticity theory, which are essential in understanding and performing simulations.
Quantum Mechanics
An extensive presentation of quantum mechanical simulations will be given in the second part of this course. Here, a general overview of the ideas behind these kinds of simulations will be given.
Molecular Dynamics
A more extensive investigation of classical Molecular Dynamics (MD) simulations is planned. This includes the algorithm, the integrators, the thermostats, to name a few necessary to perform MD simulations.
In terms of the respective tutorials, the goal is to be able to set up and run real MD simulations for different ensembles and understand and interpret the output.
Monte Carlo Simulations
A part of the lecture will be dedicated on Monte Carlo (MC) methods and their algorithms. Specific examples, such as the Ising model will be studied.
Error Analysis
The way errors come into the simulations and how to estimate these will be outlined.<-!!Autocorrelation, Jackknifing, Bootstrapping-->
Potentials
An important component of molecular simulations are the potentials or force fields chosen to model the interactions within the simulated system. The efficiency of the simulations is stongly dependent on this choice. To this purpose, various methods can be applied for obtaining efficient potentials for different methods. Here, representative examples will be outlined.
Simulation of liquids
Methods such as the lattice Boltzmann method and specific details on simulating liquids will be briefly given.
Advanced simulation techniques
In the end of the course, a short overview of other more advanced methods than the ones studied here will be presented. Examples include MC beyond the Metropolis algorithm, metadynamics or rare events sampling.

Prerequisites

We expect the participants to have basic knowledge in quantum, classical and statistical mechanics, thermodynamics, electrodynamics, and partial differential equations, as well as knowledge of a programming language.

Certificate Requirements

1. Attendance of the exercise classes
2. Obtaining 50% of the possible marks in the hand-in exercises

There will be a final grade for the Module "Simulation Methods" (this module consists of both lectures, Sim I plus Sim II) determined at the end of lecture Simulation Methods II.

The final grade will be determined in the following way: There will be an oral examination performed at (or after) the end of the course Simulation Methods II (SS 2012).

Recommended literature

Useful online resources

  • Be careful when using Wikipedia as a resource. It may contain a lot of useful information, but also a lot of nonsense, because anyone can write it.

Course Material

Date Subject Resources
17.10.2013 Course Content, Introduction Lecture Notes (2.54 MB)Info circle.png
24.10.2013 Molecular Dynamics (Introduction, integrators) Lecture Notes (4.59 MB)Info circle.png
31.10.2013 Energy minimization, common features in computer simulations of particles
07.11.2013 Basics of Stat Mech, ensembles, observables
14.11.2013 Interactions, long-range interactions
21.11.2013 tba.
28.11.2013 MD (integrators, Liouville formulation, Lyapunov instability)
05.12.2013 MD (thermostats/barostats)
12.12.2013 Introduction to Monte Carlo (MC)
19.12.2013 MC (examples - Ising model, beyond Metropolis)
09.01.2014 Building potentials
16.01.2014 Langevin dynamics, Brownian dynamics
23.01.2014 Error analysis
30.01.2014 Simulating liquids
06.02.2014 Advanced simulation techniques

Tutorials

Location and Time

Worksheets

Worksheet 1: Integrators

General Remarks

  • The tutorials take place in the CIP-Pool on the first floor of the ICP (Room 1.033, Allmandring 3).
  • For the tutorials, you will get a personal account for the ICP machines.
  • All material required for the tutorials can also be found on the ICP computers in the directory /group/sm/2013.
  • For the reports, we have a nice txt.pnglatex-template.tex (7 KB)Info circle.png.
  • You can do the exercises in the CIP-Pool when it is not occupied by another course. The pool is accessible on all days, except weekends and late evenings.
  • If you do the exercises in the CIP-Pool, all required software and tools are available.
  • If you want to do the exercises on your own computer, the following tools are required. All of these packages should be readily available from your OS distribution, if it is not Windows.
    • Python
    • The following Python packages:
      • IPython
      • NumPy
      • SciPy
      • matplotlib
    • A C compiler (e.g. GCC)
  • We only have experience with Unix/Linux machines. Although most tools will probably also work on Windows, we cannot guarantee it, and we can also not help you to get it running there.

Hand-in-exercises

  • The worksheets are to be solved in groups of two or three people. We will not accept hand-in-exercises that only have a single name on it.
  • A written report (between 5 and 10 pages) has to be handed in for each worksheet. We recommend to use LaTeX to prepare the report.
  • You have two weeks to prepare the report for each worksheet.
  • The report has to be sent to the tutor via email.
  • Most participants need 50% of the points in the hands-in exercises to be admitted to the oral examination (see [[#Examination|]] for details).

What happens in a tutorial

  • The tutorials take place every week.
  • You will receive the new worksheet on the days before the tutorial.
  • In the first tutorial after you received a worksheet, the solutions of the previous worksheet will be presented (see below) and the new worksheet will be discussed.
  • In the second tutorial after you received the worksheet, there is time to work on the exercises and to ask questions for the tutor.
  • You will have to hand in the reports on Monday after the second tutorial.
  • In the third tutorial after you received the worksheet, the solutions will be discussed:
    • The tutor will ask a team to present their solution.
    • The tutor will choose one of the members of the team to present each task.
    • This means that each team member should be able to present any task.
    • At the end of the term, everybody should have presented at least once.

Documentation

Linux

Python

  • Use the existing documentation of Python itself! To get help on the command print, use
 pydoc print
  • Or use the Web browser to read it. Start
 pydoc -p 4242
and visit the page http://localhost:4242

NumPy

  • first of all, try to use
 pydoc numpy

LaTeX

Examination

Depending on the module that this lecture is part of, there are differences on how to get the credits for the module:

BSc/MSc Physik, Modul "Simulationsmethoden in der Physik" (36010) and Erasmus Mundus International Master FUSION-EP
  • Obtain 50% of the possible points in the hands-in excercises of this lecture and the second part of the lecture as a prerequisite for the examination (USL-V)
  • 60 min of oral examination (PL)
    • After the lecture "Simulation Methods in Physics II" in summer term (i.e. Summer 2013)
    • Contents: both lectures and the tutorials of "Simulation Methods in Physics I"
International MSc Physics, Elective Module "Simulation Techniques in Physics I, II" (240918-005)
  • Obtain 50% of the possible points in the tutorials of this lecture as a prerequisite for the examination
  • 30 min of oral examination (PL) about the lecture and the tutorials
BSc/MSc SimTech, Modul "Simulationsmethoden in der Physik für SimTech I" (40520)
  • Obtain 50% of the possible points in the hands-in excercises of this lecture as a prerequisite for the examination (USL-V)
  • 40 min of oral examination (PL) about the lecture and the tutorials
MSc Chemie, Modul "Simulationsmethoden in der Physik für Chemiker I" (35840)
  • The marks for the module are the marks obtained in the excercises (BSL)