Astrophysical Data Analysis

2023-2024 Fall
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

Students will learn about high energy astrophysics satellites, instruments and data analysis techniques and analyze archival black hole data. By fitting black hole X-ray spectra they are expected to interpret the physical environment around black holes. 
The project involves python scripting, familarity with unix systems, git. 

Related Areas of Project: 
Computer Science and Engineering
Electronics Engineering
Mechatronics Engineering
Industrial Engineering

About Project Supervisors

Emrah Kalemci,