Mini-course on LatticeEasy next week at the ICTP

[Francesco Muia]

Dear all,

in collaboration with Prof. Quevedo and Dr. Krippendorf (currently based at LMU in Munich), we managed to organise a mini-course on LatticeEasy, a C++ program which is useful to study the dynamics of scalar fields in an expanding universe on the lattice. Here is the website for the program: http://felderbooks.com/latticeeasy/index.html.

The mini-course will be held by Francesco Cefalà, who is a PhD student in the group of Prof. Stefan Antusch in Basel. The schedule is as follows:

Wednesday 13/12: 10am in the Euler room.
Thursday 14/12: 10am in the Euler room.
Friday 15/12: 11-12:30 + 14:30-16 in the Euler room.

Attached below, you can find a preliminary program. Everyone who is interested can participate. If you would like to attend, please let me know replying to this message. Francesco needs the number of participants in order to calibrate the number/difficulty of the exercises. Please notice that in order to solve the exercises you will need your own laptop with Mathematica.

Cheers,
Francesco

> Begin forwarded message:
> 
> From: Francesco Cefalà <f.cefala at unibas.ch>
> Subject: Information for the course on LatticeEasy
> Date: 5 December 2017 at 14:04:17 GMT+1
> To: Francesco Muia <fmuia at ictp.it>
> 
> The course on LatticeEasy will be subdivided into lectures and practical exercises. 
> To participate properly, the participants of the course should bring a laptop with a working version of Mathematica (which will be used to analyse the lattice data). 
> 
> Outline of the course (preliminary):
> 
> Introduction
> - Numerical lattice simulations of scalar fields with LATTICEEASY
> - Alternatives to LATTICEEASY 
> 
> 
> Preparing to get started 
> - The LATTICEEASY manual
> - Download and installation
> - OpenMP Parallelisation of LATTICEEASY (with exercise)
> - A few modifications to simplify our lifes (with exercise)
> 
> 
> Easily working with LATTICEEASY
> - Model implementation (with exercise)
> - Crosschecking - Did I correctly implement the model? (with exercise)
> - Choosing run parameters
> - Choosing the amount of output 
> - Running and analysing - Explicit examples (with exercise)
> 	- Mean and Variance
> 	- Scale factor and Hubble parameter
> 	- Spectra (Field and Occupation numbers)
> 	- Energy Density
> 	- Histograms
> 	- Field Distribution
> - Checking convergence
> 
> 
> I hope that I’ll be able to cover all these points.
> 
> Cheers,
> Francesco
> 
>