Admission requirements
Bachelor's degree in Astronomy and/or Physics
Demonstrable knowledge of calculus
Experience with least one programming language
Description
During this course you will learn how to perform research with existing computational tools and simulation codes. This will be done using the AMUSE software. You will learn how to perform astronomical simulations using the AMUSE framework. Students, in groups of two, will have the choice from various projects to work on for a number of weeks and in the end give a presentation of the work done and the project results. We use the AMUSE environment to perform a number of simulations to study astrophysical phenomena.
Topics:
AMUSE in general
Gravitational dynamics
Stellar evolution
Hydrodynamics
Code coupling strategies
Python
Visualization
Algorithms
Course objectives
Be able to judge, select and adapt the proper numerical tools for conducting your own research.
Soft skills
In this course, students will be trained in the following behaviour-oriented skills:
Problem solving (recognizing and analyzing problems, solution-oriented thinking)
Analytical skills (analytical thinking, abstraction)
Critical assessment (asking questions, assumption validation)
Creativity (resourcefulness, lateral thinking)
Collaboration (extreme programming, joined research)
Timetable
See Schedules Astronomy master 2017-2018
Mode of instruction
Lectures
Practical classes
Assessment method
Written exam
Homework assignments
Blackboard
Blackboard is not used for this course.
Reading list
Registration
Via uSis. More information about signing up for your classes can be found here. Exchange and Study Abroad students, please see the Prospective students website for information on how to apply.
Contact information
Lecturer: Prof.dr. S.F. (Simon) Portegies Zwart
Assistants: Francisca Concha Ramirez
Remarks
Admission is decided on the first day of the course by means of an exam.