- Trainer/in: Miroslava Dessauges
- Trainer/in: Dominique Eckert
- Trainer/in: Laurent Eyer
- Trainer/in: William Hartley
- Trainer/in: Monika Lendl
- Trainer/in: Christophe Lovis
- Trainer/in: Stéphane Paltani
- Trainer/in: Damien Segransan
This course is composed of up to 7 independent modules whose objectives are to introduce students to common data types and analysis techniques used in modern astrophysics. Modules are hands-on sessions in which the students learn the basic properties of specific astrophysical datasets, apply suitable data reduction techniques to these data, produce science-grade data products, and measure some physical quantities from the data. Individual modules span 2x4h over two consecutive weeks. The covered topics include:
- X-ray data analysis (D. Eckert)
- Large-scale photometric surveys (L. Eyer)
- Transit photometry (M. Lendl)
- Stellar spectroscopy & radial velocities (C. Lovis)
- Photometry of extended extragalactic sources (W. Hartley)
- High-contrast imaging (D. Ségransan)
- Radio/mm interferometry (M. Dessauges)
The key content and notions addressed in each module include:
- Introduction to the field of research and to the instrumentation used (1h)
- Description of the datasets of interest, download/copy of the data, general overview of the data (1h)
- Reduction of data by means of a reduction pipeline, overview of the important steps of calibration and reduction (3h)
- Measurement of physical quantities of interest on the reduced data, estimation of measurement uncertainties (2h)
- Writing of a short report describing the work done and the results obtained (1h)