Informazioni sul corso

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)