Astrophysical Data Analysis

• use a computer with the Linux command line system and shell-scripts
• search through scientific databases and archives for specific instrument data
• perform scientific analysis of astronomical data across the electromagnetic spectrum
• reduce X-ray, optical, millimeter wavelength and radio data
• examine astrophysical data with dedicated methods and tools
• assess data quality from a statistical perspective
• exploit observation products such as images, light-curves, and spectra
• utilize fitting techniques to apply a model or mathematical function to data
• solve real astrophysical problems and tailored exercises
• interpret, evaluate and describe the results

The course will start with an introduction to the use of Linux systems, followed by basic knowledge about astronomical detectors, calibration, measurement significance, and noise sources. The participants will be trained in reducing imaging and spectroscopic data and perform photometry. The students will learn about single-dish and interferometric observations at millimetre and radio wavelengths and will get to reduce and analyze continuum and spectroscopic data. X-ray data from currently flying X-ray instruments (e.g. NuSTAR, INTEGRAL, NICER) will be provided. All lectures will be followed by hands-on exercises based on the methods and techniques described during the lectures. Example applications include analyzing the spectra of galaxies and supernova explosions, applying techniques to find exoplanets, measuring the molecular content of distant galaxies, and studying thermonuclear explosions on neutron stars.

30120/30790, It is recommended to take 30790 (Observational X-ray Astrophysics) first.

Lectures and practical exercises.

Maximum: 20.

Please be aware that this course has a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.