Practical informations: LEctureS@ Atrium building

Welcome to the Numerical Methods for Physics course webpage. This page is kept up-to-date. Check it out regularly!

Lecturers: Sebastien Charnoz (Univ. Paris-Cite)   Roch Smets (Sorbonne Univ.)

Time and Location:  All classes take place in Sorbonne Université, Campus Pierre et Marie Curie.  For time and rooms see the schedule below. Building is the "Atrium Building". Room is in table below.

Some of the rooms have no computers. Please always bring your own laptop.

Calendar

Date Time Location Lecture Topic Prof

EXAMINATION OF DECEMBER 5 :

The Jupyter notebook to download will be available here at 14H00

click on the "download link" on the dropbox page. Change the name of the file like "your_name.ipynb"

When you have finished, upload your jupyter notebook on this link

Addittional information for the Examination of December 5: 

On December 5 , from 2PM  (sharp!) to 4PM we will organize the examination.

It will take place in 2 rooms at the Atrium (102 and 123).  

Your examination rooms depends on your family name :

From ADEN to HOSSAIN (included) : ROOM 102

From KAYA to ZIJUN : ROOM 123

IMPORTANT :

• All information (examination notebook, upload link) will be given on the Lecture Website (this website !) . Make sure you know it or it is bookmarked on your computer

• Bring your laptop ! if you have no laptop send us an email and tell us your university. Make sure you have a working internet connection at the university , either on your laptop (if you use one) , or alternatively, make sure you know how to use university computers. 

• Be at 13h45 in front of your room ! The examination STARTS at 2PM Sharp.

• It willl be a 2hours exmination with different numerical problems and questions on the lecture.

• You can use the lecture's slides and your past notebooks.

• Surfing on internet, surfing on google or on chat-gpt during the exam is forbidden and will be eliminatory

• You will be allowed to use internet  at the beginning  to download the notebook and at the end to upload your notebook. otherwise you MUST be off-line all the time.

• REMEMBER In case of cheating : there is a 5 years interdiction of exams as a penalty and disciplinary commission. 

PLEASE ANTICIPATE TO AVOID PROBLEMS THE DAY OF THE EXAMINATION :

IF YOU USE YOUR LAPTOP MAKE SURE YOU HAVE A PROPER ACCESS TO INTERNET AT THE UNIV AND IT WORKS PROPERLY

IF YOU USE A UNIVERSITY FIXED TERMINAL,  MAKE SURE YOU CAN LOG-IN PROPERLY , AND YOU KNOW HOW TO START JUPYTER, PYTHON , TEXT-EDITOR, E-MAIL ETC..

we will NOT manage  any technical or access  problems during the exam (internet connection , access) and we will assume that you know how to use all necssary softwares.... It is YOUR responsablity  to you make sure, before the examination, that you can (a) access internet (b) work on jupyter notebook on the computer (either personal or university one)  (c) upload it to a link we will provide during the exam. 

Those who did not anticipated and who have connection problems.. will not be given any particular treatment...

Course material

The course material is available via shared links, these will appear here as needed. You will get the password in class.

Lecture 1 : 

Lecture on ODE 

Jupyter notebook on ODE

Lecture on PDEs

Jupyter notebook 1 on PDEs

Jupyter notebook 2 on PDEs

Example Examination for training

Lecture on Optimisation

Jupyter notebook on optimization

projects

Team up in groups of 3 students.  Choose a physics (or closely related) problem and a numerical method to solve it. Choose your projects and team before the 27th of September and fill in this FORM.

The oral presentations will be on the 12th of December 20225, more details about the presentations will be provided soon.

Ideas of subjects for your projects (non exhaustive..)

Projects from previous years.

• Network Analysis

• Numerical methods in High Energy Physics, Quantum Tunneling 

• Using Cellular Automata to Simulate Cancer Cell Growth

• Variational Quantum Eigensolvers

• Finite size effects on Bose Einstein condensate

• Solving Eigenvalue equations

• Solution of Fokker-Planck equation with different stochastic processes

• Physics Parameter analysis in exclusive B-Decay

• Equilibrium analysis of 2D lattice in Ising Model

• SIR Model of Epidemic

• Solving optimization problems with classical and quantum Ising-Models

• Neural Networks For Image Recognition

• Toda oscillator

• Solving differential equation in Finance using ML

• Predator Prey / Lotka- Volterra

• Percolation theory applied to fire propagation

• Molecular dynamics

• Newtonian Dynamics of a Fluid

• Turbocodes

• Analysis of the Lorenz Attractor System

• N-body simulations

• etc...

OTHER REsources

Short and basic introduction to Scientific computing with numpy. This is part of a lecture course on scientific computing with python given to students with no previous knowledge of programming.

Python and associated tools installation

• Anaconda: https://www.anaconda.com/download

Excellent place to learn how to use Python for scientific computing:

• http://scipy-lectures.github.io/index.html

• http://interactivepython.org/runestone/default/user/login?_next=/runestone/default/index

• https://physics.nyu.edu/pine/pymanual/html/pymanMaster.html

Introduction to programming in Python

• http://anandology.com/python-practice-book/

• http://www.openculture.com/2016/12/learn-python-a-free-online-course-from-google.html

Excellent tools for newcomers to programming and Python:

• http://pythontutor.com/

Fortran and Python (and Cython)

• http://www.fortran90.org/index.html

• This is an excellent extension for ipython to write fortran code in the console on the fly:

  • https://pypi.python.org/pypi/fortran-magic/0.4.3

Cython

• http://cython.org/

Pythran

• http://serge-sans-paille.github.io/talks/pythran-2014-07-15.html#/

Astropy is "a community-driven package intended to contain much of the core functionality and some common tools needed for performing astronomy and astrophysics with Python."

• http://www.astropy.org/

Useful docs

• http://pyformat.info/ string formatting

Other

2014 Argonne Training Program on Extreme Scale Computing: link

Git tutorial book

Book on basic introduction to Git

ORAL PRESENTATIONS OF PROJECTS : DEC 12 2025

Practical aspects : read carefuly

Presentations are 10 mins + 5 mins of questions. You must strictly keep to the allocated time (i.e. 10 mins) within 30 seconds or you will be penalised.

Before the 11.12.2025 midnight, you must upload here your presentation (PDF only), a single Jupyter notebook and, if necessary, any other python files that you have developed for your project.

The presentations will be in the Jussieu campus : Tower 14-15, room 101.

All files should be named using the prefix assigned to your group, for example: g4.pdf for the presentation, g4.ipynb for the notebook and g4_1.py and g4_2.py for other python files. Make sure that the names of all group members appear in all files. For the presentation you can use the computer available in class. We will use the PDF uploaded by you the day before, However, if you have animations in your presentations you can bring a USB key with the file in powerpoint format and we will try to use that, or you can use your computer, but be aware that compatibility cannot be guaranteed. Only a PDF is a safe bet. 

Criteria for Assessing the Oral Presentations. 

The following guidelines aim to assist groups in preparing and delivering clear, comprehensive, and informative presentations of their numerical physics projects as a team, ensuring equal contribution, collaboration among members, and highlighting their understanding of the physics problem along with collective efforts in utilizing numerical methods to solve it. 

1. Content Knowledge: - Show collective understanding of numerical methods and apply them effectively. - Apply physics concepts to the problem statement, ensuring clarity and coherence. 

2. Methodology: - Jointly choose and justify the numerical techniques used, highlighting collective decision-making skills. - Describe the code building process, specifying individual contributions. - Discuss the tests to ensure accuracy and precision in solutions. - Describe how the work was organized and shared, demonstrating effective teamwork. 

3. Presentation Skills: - Organize and structure the presentation coherently as a team. - All members take an equal share of time. - Ensure slides are clear and well-constructed. - Ensure figures are readable, axes are labelled, and units are displayed. - DO NOT SHOW PYTHON CODE, DO NOT SHOW SCREENSHOTS OF JUPYTER NOTEBOOKS 

4. Depth of Analysis and Interpretation:- Collaboratively interpret and analyze the results obtained. - Demonstrate critical thinking as a team in evaluating solutions and drawing conclusions. - Emphasize the problems you have encountered, approximations and limitations of your code and discuss future possible improvements.

 5. Question & Answer Session: - All team members actively participate in responding to questions, displaying collective depth of knowledge beyond the presentation content.

Order of presentations (table below)

1. 9h30-9h45, "Variational Quantum Eigensolvers" by TAUB, ZHIGANOV, SELIM, TOBASCHUS

2. 9h45-10h00, "Stochastic processes in the Fokker Planck" by RICCIARDI, BARAN, ADEN

3. 10h00-10h15, "SIR epidemic model" by TODTE, PHILLIPS, PEDE

4. 10h15-10h30, "Pulsar Field Free electrodynamics Simulations" by SARMA, CHABANYA, SINGH, LIU

5. 10h30-10h45, "Beta method for initial value problems" by DESOJO, DIAZ, FERRERAS

6. 10h45-11h00, "Characterization of band structure" by HE, RIMPRONGERN, ZIJUN

7. 11h00-11h15, "N-body simulations", AGAZZI, HAUTH, SCHOLTE

8. 11h15-11h30, "Non-linear damped driven pendulums" by MANDAL, KRISHNAN

9. 11h30-11h45, "Quantum Reinforcement Learning with Photonic Mach-Zehnder Grovers Circuit" by GAYAN, HOSSAIN, AYHAN

10. 11h45-12h00, "Neural network for image recognition" by PANDEY, MHEDHBI

11. 12h00-12h15, "2D/3D Ising model simulation" by KAYA, AGOLLI, TZELEPIS

12. 12h15-12h30, "Solving Lindblad master equation using monte carlo techniques" by SHIFAQAT, BATOOL, RAFIQ

13. 12h30-12h45, "Numerical methods and thermally assisted spin transfer torque" by ERHAM

We yet have no informations for the other students : ROMANEESSEN, YU

If you are still in this program and have a project to present, it is more than urgent to make contact with us !