3 short-courses in Marseille (n°6/7/11)
3 short-courses in Marseille
The combination of theory and laboratory is one of the main strengths of the WAVES training program: the combination of courses 6 and 7 will allow all ESRs to develop an advanced competence in both aspects of research. Course 11 deals with a new approach to data analysis, relevant both for research and dissemination. "Sonification" is a set of techniques to translate large scientific database into sound, and explore them via the auditory system. The speaker--Ben Holtzman--is a specialist of seismic data sonification. The ideas that will emerge from course 11 will be used to disseminate WAVES results to the general audience.
Short Course 6 on “Laboratory ultrasonic experimentations”
Objectives of the short-course: This introductory course exhibits the benefits of small-scaled experimental studies and provides some clues to design laboratory ultrasonic experimentations that mimic, as much as possible, real-scaled seismic studies. It emphasizes the key points that must be considered with caution. The course also focuses on common and specific sources and receivers, used for wave reflection/transmission surveys and surface wave generation and detection. At the end of the course, students are able to carry out simple ultrasonic experiments in tanks and apply basic processing to the recorded data, for instance in order to evaluate P- and S-wave velocities and attenuations in media.
Monday May 29, 1 pm – 4 pm, CNRS LMA, trainers: Nathalie Favretto-Cristini & Paul Cristini
Tuesday May 30, 08:30 am – 11:30 am and 1 pm – 4 pm, same location, same trainers
Short Course 7 on “Numerical approaches for full wave modeling and imaging in acoustics”
Objectives of the short-course: We will give an introduction, overview and practical examples as well as exercises regarding numerical modeling and full waveform inversion (FWI) based on ultrasonic or seismic waves. The course will discuss practical aspects of numerical wave propagation as well as imaging, fully illustrated with 2D and 3D examples.
Prerequisites: None, but please bring your laptop with Unix installed (any Unix is fine: Linux, Mac OS, Windows with VirtualBox inside and running Linux).
Wednesday May 31, 08:30 am – 11:30 am, CNRS LMA, 8 rue Enrico Fermi, 13013 Marseille, France, trainer: Paul Cristini. Topic: Introduction to wave propagation and imaging problems; numerical approaches, in particular in fluid/solid media.
Wednesday May 31, 1 pm – 4 pm, CNRS LMA, 8 rue Enrico Fermi, 13013 Marseille, France, trainer: Dimitri Komatitsch. Topic: Numerical modeling and advanced computing for wave propagation problems.
Thursday June 1, 08:30 am – 11:30 am, CNRS LMA, 8 rue Enrico Fermi, 13013 Marseille, France, trainer: Vadim Monteiller. Topic: Numerical approaches and tools for full waveform imaging (FWI) based on acoustic or seismic waves.
Short Course 11 on “Sonification of wave(s) data”
Objectives of the short-course: We will teach you a range of methods for generating sonic representation of your data from nature, experiments or models, including frequency shifting, sound synthesis and spatialization. We will also discuss visualization of data, with the aim of designing material for public education of WAVES projects.
Prerequisites: None, but please bring your laptop (with Python 3.x installed) and also some headphones for your laptop (any type). We will send a more specific software/package list beforehand.
Monday May 29, 08:30 am – 11:30 am, CNRS LMA, 8 rue Enrico Fermi, 13013 Marseille, France, trainers: Ben Holtzman and Arthur Paté.
Thursday June 1, 1 pm – 4 pm, same location, same trainers.
Friday June 2, 08:30 am – 11:30 am and 1 pm – 4 pm, same location, same trainers.
Also in the section
- Coordinated by Université Pierre et Marie Curie
- 15 participating partners
- 6 European countries and the USA
- 15 trained fellows
- Project budget: 3 227 952.96€
- Project duration: 4 years
- WAVES is a European project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Slodowska-Curie grant agreement n° 641943.